Direct Doctorate Fellowship in Yeast Molecular Genetics
A Direct Doctorate (PhD) scholarship funded by the São Paulo Research Foundation (FAPESP) is available at the Bioenergy Research Institute (IPBEN) affiliated with Rio Claro Biosciences Institute of São Paulo State University (IBRC-UNESP) under the mentoring of Dr. Ana Paula Jacobus (www.yeastevolution.com).
The selected candidate will develope research in the context of the Young Researcher project “Collaboration Network: Modern Genetic Approaches to Enhance Yeast Tolerance to Enriched Lignocellulosic Hydrolysates”. This project raises the question of how tolerance to lignocellulosic hydrolysate inhibitors used in the production of second generation ethanol, can be improved in yeast Saccharomyces cerevisiae by the use of modern tools of molecular genetics and synthetic biology.
To address this important issue, we established a collaborative axis between the groups belonging to the Bioenergy Research Institute (IPBEN, UNESP), the Brazilian Laboratory of Ethanol Science and Technology (CTBE), University of São Paulo USP) and the University of Queensland, Australia. Experimental approaches such as alternative protocols for adaptive laboratory evolution, mapping of quantitative traits, new generation sequencing, flow cytometry assisted competition and phenotyping tests will be used to discover the genetic basis of yeast tolerance to the hydrolysate rich in inhibitors (LCH) of sugarcane bagasse. Thus, using modern molecular genetic tools and the CRISPR / Cas9 genome editing technology, a yeast strain resistant to the toxicity of the lignocellulosic hydrolysates will be constructed and suitable for the production of cellulosic ethanol.
Requirements
The candidate for the Direct Doctorate position must have, or be finishing, graduation in areas related to biology, microbiology, genetics or biochemistry. In compliance with the rules of FAPESP (http://www.fapesp.br/278#6), the candidate must have a graduation recently completed and within the normal term, with an excellent academic record and, preferably, successful stage of Scientific Initiation. Alternatively, the candidate can be transferred from the MSc to PhD. Candidates with full masters cannot be considered.
The selected student will be enrolled in the integrated Bioenergy Doctoral program offered jointly by the three main universities of São Paulo (UNESP / UNICAMP / USP). Therefore, the candidate must conform to the formal selection criteria required for joining the program (http://sites.usp.br/phdbioenergy/applications/). The PhD program in Bioenergy is internationally oriented with classes lectured in English by videoconference.
Subscription
The application should be sent to Dr. Ana Paula Jacobus (anapjacobus@gmail.com). The application package should contain:
1- Letter of motivation (cover letter);
2- Updated curriculum;
3- List of technical skills (i.e., what the candidate masters of techniques in the laboratory);
4- Names and e-mails of two academic references;
5- Graduation school record.
Applications will be accepted and analyzed until 08/01/2019. The start of the scholarship is planned for the second half of 2019.
More Info
✔️ @ApplyTime
A Direct Doctorate (PhD) scholarship funded by the São Paulo Research Foundation (FAPESP) is available at the Bioenergy Research Institute (IPBEN) affiliated with Rio Claro Biosciences Institute of São Paulo State University (IBRC-UNESP) under the mentoring of Dr. Ana Paula Jacobus (www.yeastevolution.com).
The selected candidate will develope research in the context of the Young Researcher project “Collaboration Network: Modern Genetic Approaches to Enhance Yeast Tolerance to Enriched Lignocellulosic Hydrolysates”. This project raises the question of how tolerance to lignocellulosic hydrolysate inhibitors used in the production of second generation ethanol, can be improved in yeast Saccharomyces cerevisiae by the use of modern tools of molecular genetics and synthetic biology.
To address this important issue, we established a collaborative axis between the groups belonging to the Bioenergy Research Institute (IPBEN, UNESP), the Brazilian Laboratory of Ethanol Science and Technology (CTBE), University of São Paulo USP) and the University of Queensland, Australia. Experimental approaches such as alternative protocols for adaptive laboratory evolution, mapping of quantitative traits, new generation sequencing, flow cytometry assisted competition and phenotyping tests will be used to discover the genetic basis of yeast tolerance to the hydrolysate rich in inhibitors (LCH) of sugarcane bagasse. Thus, using modern molecular genetic tools and the CRISPR / Cas9 genome editing technology, a yeast strain resistant to the toxicity of the lignocellulosic hydrolysates will be constructed and suitable for the production of cellulosic ethanol.
Requirements
The candidate for the Direct Doctorate position must have, or be finishing, graduation in areas related to biology, microbiology, genetics or biochemistry. In compliance with the rules of FAPESP (http://www.fapesp.br/278#6), the candidate must have a graduation recently completed and within the normal term, with an excellent academic record and, preferably, successful stage of Scientific Initiation. Alternatively, the candidate can be transferred from the MSc to PhD. Candidates with full masters cannot be considered.
The selected student will be enrolled in the integrated Bioenergy Doctoral program offered jointly by the three main universities of São Paulo (UNESP / UNICAMP / USP). Therefore, the candidate must conform to the formal selection criteria required for joining the program (http://sites.usp.br/phdbioenergy/applications/). The PhD program in Bioenergy is internationally oriented with classes lectured in English by videoconference.
Subscription
The application should be sent to Dr. Ana Paula Jacobus (anapjacobus@gmail.com). The application package should contain:
1- Letter of motivation (cover letter);
2- Updated curriculum;
3- List of technical skills (i.e., what the candidate masters of techniques in the laboratory);
4- Names and e-mails of two academic references;
5- Graduation school record.
Applications will be accepted and analyzed until 08/01/2019. The start of the scholarship is planned for the second half of 2019.
More Info
✔️ @ApplyTime
PhD Student in the field of thermoplastic shaping of ceramic materials using FDM/FFF printing
For a national project funded by SNF we are looking for a highly motivated student with master degree and a strong background in ceramic, preceramic polymers, additive manufacturing and flow simulation. The project focus is on the development of 3D printing of ceramic materials with commercial polymer filament printers (FDM printer) to achieve large structures without deformation.
Your Tasks
Explore and develop polymeric binders for large ceramic structures
Extrusion and 3D printing thermoplastic based ceramic based filament materials
Rheological characterization and simulation of the flow behavior during extrusion of ceramic feedstocks
Kinetic modelling of thermal treatment
Characterization of crystalline materials by Rietveld refinement
More Info
✔️ @ApplyTime
For a national project funded by SNF we are looking for a highly motivated student with master degree and a strong background in ceramic, preceramic polymers, additive manufacturing and flow simulation. The project focus is on the development of 3D printing of ceramic materials with commercial polymer filament printers (FDM printer) to achieve large structures without deformation.
Your Tasks
Explore and develop polymeric binders for large ceramic structures
Extrusion and 3D printing thermoplastic based ceramic based filament materials
Rheological characterization and simulation of the flow behavior during extrusion of ceramic feedstocks
Kinetic modelling of thermal treatment
Characterization of crystalline materials by Rietveld refinement
More Info
✔️ @ApplyTime
Empa
PhD Student in the field of thermoplastic shaping of ceramic materials using FDM/FFF printing
Our Laboratory for High Performance Ceramics is looking for a
Research Associate/Fellow (Fixed-term)
Applications are invited for the above position offered in the Membrane-Based Separation Technologies team in Engineering, University of Nottingham. The Faculty of Engineering involves over 250 academic and provides state-of-the art experimental and computational facilities.
The proposed research is innovative, high risk-high gain and expected to lead to high quality publications and industrial applications, making this an ideal training opportunity for future industrial or academic career. The researcher will join a vibrant and supportive research team. The purpose of this role is to conduct research in an EPSRC funded project “Origami-enabled super compaction of membranes” from Adventurous Manufacturing Call. The project team will interact closely researchers from School of Mathematics.
The candidate will conduct research into synthesis of metal organic framework films, develop electrochemical atomic layer deposition procedure, apply design of experiment rules, conduct state-of-the-art characterisation, and study compaction behaviour.
Candidates must have an excellent understanding, and preferably direct experience, of one or more of the following areas: metal organic frameworks, membrane development and electrochemical atomic layer deposition (EC-ALD). Candidates must hold a PhD degree or equivalent (obtained or thesis submitted) in chemical engineering or material science/engineering. In addition, they should have good organisation skills, interpersonal skills and communication skills and the ability to work in a team.
More Info
✔️ @ApplyTime
Applications are invited for the above position offered in the Membrane-Based Separation Technologies team in Engineering, University of Nottingham. The Faculty of Engineering involves over 250 academic and provides state-of-the art experimental and computational facilities.
The proposed research is innovative, high risk-high gain and expected to lead to high quality publications and industrial applications, making this an ideal training opportunity for future industrial or academic career. The researcher will join a vibrant and supportive research team. The purpose of this role is to conduct research in an EPSRC funded project “Origami-enabled super compaction of membranes” from Adventurous Manufacturing Call. The project team will interact closely researchers from School of Mathematics.
The candidate will conduct research into synthesis of metal organic framework films, develop electrochemical atomic layer deposition procedure, apply design of experiment rules, conduct state-of-the-art characterisation, and study compaction behaviour.
Candidates must have an excellent understanding, and preferably direct experience, of one or more of the following areas: metal organic frameworks, membrane development and electrochemical atomic layer deposition (EC-ALD). Candidates must hold a PhD degree or equivalent (obtained or thesis submitted) in chemical engineering or material science/engineering. In addition, they should have good organisation skills, interpersonal skills and communication skills and the ability to work in a team.
More Info
✔️ @ApplyTime
Research Associate/Fellow in advanced statistical modelling and machine learning applied to epidemiology of bacterial infection and antimicrobial resistance (fixed term)
Applications are invited from research scientists for the above post in the School of Veterinary Medicine and Science to join an exciting project dealing with antimicrobial/antibacterial resistance (ABR).
The successful candidate will work closely with an interdisciplinary and international team of academics and industrial partners. The project offers a unique combination of expertise in machine learning, statistical and mathematical modelling, bioinformatics, sequencing, cloud computing, microbiology, infection control, food safety, surveillance, epidemiology.
The applicant must have a PhD (or be very close to completion), preferably in epidemiology or data science. Alternatively, the candidate must have a PhD (or be very close to completion) in statistics, mathematics, machine learning, or computational biology. In-depth expertise in the use of advanced statistical modelling and machine learning for data analysis in biological problems, preferably related to epidemiology of infectious diseases and antibacterial resistance is essential. Strong proficiency in programming/software development is required. Experience/expertise in the following subjects would be desirable: use of deep learning for data analysis, use of advanced statistical modelling and machine learning for the analysis of bacterial whole genome sequencing data and metagenomic data; development of diagnostics or forecasting tools; development of surveillance/monitoring solutions for infectious diseases.
More Info
✔️ @ApplyTime
Applications are invited from research scientists for the above post in the School of Veterinary Medicine and Science to join an exciting project dealing with antimicrobial/antibacterial resistance (ABR).
The successful candidate will work closely with an interdisciplinary and international team of academics and industrial partners. The project offers a unique combination of expertise in machine learning, statistical and mathematical modelling, bioinformatics, sequencing, cloud computing, microbiology, infection control, food safety, surveillance, epidemiology.
The applicant must have a PhD (or be very close to completion), preferably in epidemiology or data science. Alternatively, the candidate must have a PhD (or be very close to completion) in statistics, mathematics, machine learning, or computational biology. In-depth expertise in the use of advanced statistical modelling and machine learning for data analysis in biological problems, preferably related to epidemiology of infectious diseases and antibacterial resistance is essential. Strong proficiency in programming/software development is required. Experience/expertise in the following subjects would be desirable: use of deep learning for data analysis, use of advanced statistical modelling and machine learning for the analysis of bacterial whole genome sequencing data and metagenomic data; development of diagnostics or forecasting tools; development of surveillance/monitoring solutions for infectious diseases.
More Info
✔️ @ApplyTime
PhD student position in deep learning and optimization
At the department of Electrical Engineering research and education are performed in the areas of Communication and Antenna systems, Systems and Control, Computer vision, Signal processing and Biomedical engineering, and Electric Power Engineering. Our knowledge is of use everywhere where there is advanced technology with integrated electronics. We work with challenges for a sustainable future in society of today, for example in the growing demands concerning efficient systems for communications and electrification.
We offer a dynamic and international work environment with about 200 employees from more than 20 countries, and with extensive national and international research collaborations with academia, industry and society.
The department provides about 100 courses, of which most are included in the Master’s Programs ”Biomedical Engineering”, “Electric Power Engineering”, ”Systems, Control and Mechatronics” and ”Communication Engineering”.
More Info
✔️ @ApplyTime
At the department of Electrical Engineering research and education are performed in the areas of Communication and Antenna systems, Systems and Control, Computer vision, Signal processing and Biomedical engineering, and Electric Power Engineering. Our knowledge is of use everywhere where there is advanced technology with integrated electronics. We work with challenges for a sustainable future in society of today, for example in the growing demands concerning efficient systems for communications and electrification.
We offer a dynamic and international work environment with about 200 employees from more than 20 countries, and with extensive national and international research collaborations with academia, industry and society.
The department provides about 100 courses, of which most are included in the Master’s Programs ”Biomedical Engineering”, “Electric Power Engineering”, ”Systems, Control and Mechatronics” and ”Communication Engineering”.
More Info
✔️ @ApplyTime
PhD student position in UHBR engine nacelle installation
This PhD project will be conducted at the research group turbomachinery and aero-acoustics in the division. This group has long-term expertise on future engine concept designs as well as multi-objective design optimization of compressor blades, rotorcraft aerodynamics, compressor design, unsteady aerodynamics and aero-acoustics on propeller blades, aerodynamic/performance optimization, computer programming. Special emphasis is on radical aircraft configurations, such as intercooler concepts, or boundary layer ingesting concept. The research on detailed turbulence characteristics (e.g., turbomachinery, jet flows and noise) has developed and applied the CFD methods and tools for DNS, LES, hybrid RANS/LES, unsteady-RANS, RANS, linearized Navier-Stokes equations, turbulence modeling, semi-empirical stochastic modeling, numerical schemes, finite volume method, finite element method, boundary element method, coupling approaches for fluid-structural interaction, shape optimization, and active flow and noise control strategies. The methods and tools developed by us have been incorporated into our in-house codes (G3D::Flow, etc.,), open-source codes (OpenFOAM, etc.) and commercial soft wares (ANSYS, STAR-CCM+, etc.).
More Info
✔️ @ApplyTime
This PhD project will be conducted at the research group turbomachinery and aero-acoustics in the division. This group has long-term expertise on future engine concept designs as well as multi-objective design optimization of compressor blades, rotorcraft aerodynamics, compressor design, unsteady aerodynamics and aero-acoustics on propeller blades, aerodynamic/performance optimization, computer programming. Special emphasis is on radical aircraft configurations, such as intercooler concepts, or boundary layer ingesting concept. The research on detailed turbulence characteristics (e.g., turbomachinery, jet flows and noise) has developed and applied the CFD methods and tools for DNS, LES, hybrid RANS/LES, unsteady-RANS, RANS, linearized Navier-Stokes equations, turbulence modeling, semi-empirical stochastic modeling, numerical schemes, finite volume method, finite element method, boundary element method, coupling approaches for fluid-structural interaction, shape optimization, and active flow and noise control strategies. The methods and tools developed by us have been incorporated into our in-house codes (G3D::Flow, etc.,), open-source codes (OpenFOAM, etc.) and commercial soft wares (ANSYS, STAR-CCM+, etc.).
More Info
✔️ @ApplyTime
PhD student position in Computational Catalysis
Major responsibilities
Research at a 90-100% level where the remaining part is teaching and departmental work.
Your major responsibilities are to pursue your own doctoral studies. You are expected to develop your own scientific concepts and communicate the results of your research verbally and in writing.
Position summary
Full-time temporary employment. The position is limited to a maximum of five years.
Qualifications
The successful candidates should have:
(1) Master of Science in Physics, Chemistry or Materials Science
(2) Good communication skills in written and spoken English
(3) Able to work independently and take responsibility for progress and quality of the project
(4) Candidates with experience in computational/theoretical physics and chemistry are meritorious.
(5) Experience in programming
To qualify as a PhD student, you must have a master's level degree corresponding to at least 240 higher education credits in a relevant field.
More Info
✔️ @ApplyTime
Major responsibilities
Research at a 90-100% level where the remaining part is teaching and departmental work.
Your major responsibilities are to pursue your own doctoral studies. You are expected to develop your own scientific concepts and communicate the results of your research verbally and in writing.
Position summary
Full-time temporary employment. The position is limited to a maximum of five years.
Qualifications
The successful candidates should have:
(1) Master of Science in Physics, Chemistry or Materials Science
(2) Good communication skills in written and spoken English
(3) Able to work independently and take responsibility for progress and quality of the project
(4) Candidates with experience in computational/theoretical physics and chemistry are meritorious.
(5) Experience in programming
To qualify as a PhD student, you must have a master's level degree corresponding to at least 240 higher education credits in a relevant field.
More Info
✔️ @ApplyTime
PhD-student in the field of Advanced experiments in spray drying (V37.3937)
Job description
To meet the goals of the Dutch climate agreement the industry will need to greatly reduce their greenhouse emissions. One way of doing this is by reducing the energy requirements for the different industrial processes. Of these processes, the drying process is especially energy intensive. A method that is often used in the food industry is spray-drying. This is a method where the fluid is sprayed through hot air in order for it to dry. It is used to turn, for example, fluid milk products into functional powders. By developing a fundamental understanding of the complex fluid dynamics inside the nozzle as well as in the liquid sheet breakup, the EEMS project aims to formulate recommendations for design and operational principles to optimise the spray drying process. "EEMS”, which stands for Energy Efficient Milky Sprays, is a collaboration of the Institute for Sustainable Process Technology, Friesland Campina, Danone/Nutricia, DSM and TU/e. Together they will study the effects of high solids content and of the main constituent components of model liquids on atomization efficiency of the nozzle. Ultimately this will lead to recommendations for design and operational principles to optimise the spray drying process.
More Info
✔️ @ApplyTime
Job description
To meet the goals of the Dutch climate agreement the industry will need to greatly reduce their greenhouse emissions. One way of doing this is by reducing the energy requirements for the different industrial processes. Of these processes, the drying process is especially energy intensive. A method that is often used in the food industry is spray-drying. This is a method where the fluid is sprayed through hot air in order for it to dry. It is used to turn, for example, fluid milk products into functional powders. By developing a fundamental understanding of the complex fluid dynamics inside the nozzle as well as in the liquid sheet breakup, the EEMS project aims to formulate recommendations for design and operational principles to optimise the spray drying process. "EEMS”, which stands for Energy Efficient Milky Sprays, is a collaboration of the Institute for Sustainable Process Technology, Friesland Campina, Danone/Nutricia, DSM and TU/e. Together they will study the effects of high solids content and of the main constituent components of model liquids on atomization efficiency of the nozzle. Ultimately this will lead to recommendations for design and operational principles to optimise the spray drying process.
More Info
✔️ @ApplyTime
jobs.tue.nl
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The TU/e is constantly looking for scientific and non-scientific staff further its ambitions. View here our current vacancies.
2 Ph.D. positions and 1 PostDoc position (f/m/d)
YOUNG RESEARCHERS HEIDELBERG
Structural and Cell Biology
Job Code: Code number 10/2019
Job Offer from May 17, 2019
At the Max Planck Institute for Medical Research, one of the 84 institu-tes of the Max Planck Society for the Advancement of Science, physicists, chemists and biologists create knowledge of long-term relevance to life and basic medical sciences. The Max Planck School Matter to Life, one of three pilot schools, is coordinated at the institute as well.
Two Ph.D. positions and a PostDoc position are available in the group of Dr. Thomas Barends at the Max Planck Institute for Medical Research in Heidelberg. The positions are funded by the European Research Council.
Successful applicants will join an international, interdisciplinary team to work on the elucidation of the biosynthesis pathway of ladderane lipids. Ladderanes are highly unusual hydrocarbon moieties with linearly concatenated cyclobutane rings, found in the membranes of bacteria performing anaerobic ammonium oxidation (“anammox”).
How these complicated molecules are produced is unknown: How do the enzymes involved assemble such intricate carbon skeletons? How do they control the complex stereochemistry involved? How do they overcome the ring strain inherent in these molecules? The successful candidates will be answering these questions using an array of methods including biochemistry, chemical biology, metabolomics and structural biology.
Applicants should hold a Master’s degree (a Ph.D. degree for the PostDoc position) or equivalent in chemistry, biochemistry or biology and enjoy practical lab work. The available topics are diverse but include iron-sulfur cluster proteins and lipidomics, so candidates with experience in these fields are particularly invited to apply.
The Max Planck Society is com-mitted to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. The Max Planck Society strives for gender and diversity equa-lity. We welcome applications from all backgrounds. A daycare center for children is located near the institute.
For further information, please contact Dr. Thomas Barends (Thomas.Barends@mpimf-heidelberg.mpg.de).
For general questions, please contact Ms. Sabrina Giacalone (0049 6221 486 – 305), or Mrs. Fabienne Höfer-Elfner (0049 6221 486 – 311) from human resources.
Please submit your application, including a cover letter (explaining background and motivation), your CV, complete transcripts for Ph.D. candidates and the names and addresses of one or more references as a single PDF file with the above reference via e-mail, preferably before June 20, 2019.
✔️ @ApplyTime
YOUNG RESEARCHERS HEIDELBERG
Structural and Cell Biology
Job Code: Code number 10/2019
Job Offer from May 17, 2019
At the Max Planck Institute for Medical Research, one of the 84 institu-tes of the Max Planck Society for the Advancement of Science, physicists, chemists and biologists create knowledge of long-term relevance to life and basic medical sciences. The Max Planck School Matter to Life, one of three pilot schools, is coordinated at the institute as well.
Two Ph.D. positions and a PostDoc position are available in the group of Dr. Thomas Barends at the Max Planck Institute for Medical Research in Heidelberg. The positions are funded by the European Research Council.
Successful applicants will join an international, interdisciplinary team to work on the elucidation of the biosynthesis pathway of ladderane lipids. Ladderanes are highly unusual hydrocarbon moieties with linearly concatenated cyclobutane rings, found in the membranes of bacteria performing anaerobic ammonium oxidation (“anammox”).
How these complicated molecules are produced is unknown: How do the enzymes involved assemble such intricate carbon skeletons? How do they control the complex stereochemistry involved? How do they overcome the ring strain inherent in these molecules? The successful candidates will be answering these questions using an array of methods including biochemistry, chemical biology, metabolomics and structural biology.
Applicants should hold a Master’s degree (a Ph.D. degree for the PostDoc position) or equivalent in chemistry, biochemistry or biology and enjoy practical lab work. The available topics are diverse but include iron-sulfur cluster proteins and lipidomics, so candidates with experience in these fields are particularly invited to apply.
The Max Planck Society is com-mitted to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. The Max Planck Society strives for gender and diversity equa-lity. We welcome applications from all backgrounds. A daycare center for children is located near the institute.
For further information, please contact Dr. Thomas Barends (Thomas.Barends@mpimf-heidelberg.mpg.de).
For general questions, please contact Ms. Sabrina Giacalone (0049 6221 486 – 305), or Mrs. Fabienne Höfer-Elfner (0049 6221 486 – 311) from human resources.
Please submit your application, including a cover letter (explaining background and motivation), your CV, complete transcripts for Ph.D. candidates and the names and addresses of one or more references as a single PDF file with the above reference via e-mail, preferably before June 20, 2019.
✔️ @ApplyTime
2019 IBM PhD Fellows!
We are pleased to announce the 2019 IBM PhD Fellows!
About the program
Strong collaboration with faculty, students and universities is vital to IBM. The IBM PhD Fellowship Program advances this collaboration by recognizing and supporting exceptional PhD students who want to make their mark in promising and disruptive technologies. Focus areas include the following topics of particular interest:
• AI / Cognitive Computing
• Blockchain
• Cloud Computing
• Data Science / Big Data / Analytics
• Internet of things
• Quantum Computing
• Security
Since the creation of the IBM PhD Fellowship Program in 1951, we have supported thousands of PhD students -- with more than 700 students supported over the past 10 years alone.
More Info
✔️ @ApplyTime
We are pleased to announce the 2019 IBM PhD Fellows!
About the program
Strong collaboration with faculty, students and universities is vital to IBM. The IBM PhD Fellowship Program advances this collaboration by recognizing and supporting exceptional PhD students who want to make their mark in promising and disruptive technologies. Focus areas include the following topics of particular interest:
• AI / Cognitive Computing
• Blockchain
• Cloud Computing
• Data Science / Big Data / Analytics
• Internet of things
• Quantum Computing
• Security
Since the creation of the IBM PhD Fellowship Program in 1951, we have supported thousands of PhD students -- with more than 700 students supported over the past 10 years alone.
More Info
✔️ @ApplyTime
Postdoc Opening at Texas A&M University
We are conducting a search for a Postdoctoral Researcher to work with Shahin Shahrampour at Texas A&M University. The project is on large-scale statistical learning, a joint effort between the Department of Industrial and Systems Engineering (ISEN) and Texas A&M Institute of Data Science (TAMIDS). Applicants are expected to hold a Ph.D. degree in a closely related field to data science.
We are interested in the candidates in the broad area of machine learning algorithms. More specifically, the successful candidate will have a strong background in statistical learning theory and optimization, as well as programming skills in Matlab or Python. The position involves mathematical/algorithmic research in the area of data science, and the candidate is expected to contribute to the field of machine learning methodology.
Candidates should email the application material directly to shahin@tamu.edu, including a brief research statement, a detailed resume including a publications list, and the names and email addresses of at least three references.
In addition to conducting research in our group, the postdoctoral researcher will engage with the broader mission of TAMIDS for one day per week on average. Examples of such engagements include: creating and teaching a short course related to their research, advising graduate student for interdisciplinary Data Science team projects, and consulting or collaborating with researchers or graduate students in their area to help integrate Data Science into their projects.
All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.
Equal Opportunity/Affirmative Action/Veterans/Disability Employer committed to diversity.
More information:
https://sysml.engr.tamu.edu
https://tamids.tamu.edu/
✔️ @ApplyTime
We are conducting a search for a Postdoctoral Researcher to work with Shahin Shahrampour at Texas A&M University. The project is on large-scale statistical learning, a joint effort between the Department of Industrial and Systems Engineering (ISEN) and Texas A&M Institute of Data Science (TAMIDS). Applicants are expected to hold a Ph.D. degree in a closely related field to data science.
We are interested in the candidates in the broad area of machine learning algorithms. More specifically, the successful candidate will have a strong background in statistical learning theory and optimization, as well as programming skills in Matlab or Python. The position involves mathematical/algorithmic research in the area of data science, and the candidate is expected to contribute to the field of machine learning methodology.
Candidates should email the application material directly to shahin@tamu.edu, including a brief research statement, a detailed resume including a publications list, and the names and email addresses of at least three references.
In addition to conducting research in our group, the postdoctoral researcher will engage with the broader mission of TAMIDS for one day per week on average. Examples of such engagements include: creating and teaching a short course related to their research, advising graduate student for interdisciplinary Data Science team projects, and consulting or collaborating with researchers or graduate students in their area to help integrate Data Science into their projects.
All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.
Equal Opportunity/Affirmative Action/Veterans/Disability Employer committed to diversity.
More information:
https://sysml.engr.tamu.edu
https://tamids.tamu.edu/
✔️ @ApplyTime
Candidates will have opportunities for international collaboration/interaction with other partners of the ANR project INDEX (INcremental Design of EXperiments), see https://sdb3.i3s.unice.fr/anrindex,
The project studies efficient incremental solutions to combinatorial optimization problems occurring in design of computer experiments. The objective is to propose an ordered design (a sequence of runs) which is nearly optimal (for the corresponding size) when stopped at any point, while satisfying a set of intrinsic user-defined constraints.
Applicants must hold a Ph.D. in applied mathematics or theoretical computer science, with a strong background in probability and statistics, approximation and complexity theory, or discrete optimization. Knowledge in functional analysis and measure theory will be particularly appreciated.
If interested contact Luc Pronzato (pronzato (at) i3s (dot) unice (dot) fr), Enrico Formenti (enrico (dot) formenti (at) unice (dot) fr) or Maria João Rendas (rendas (at) i3s (dot) unice (dot) fr).
In the context of the international ANR project INDEX (INcremental Design of EXperiments), I3S
invites applications for full-time post-doc positions, starting between Oct 1, 2019 and Jan. 15, 2020
(negotiable).
Candidates will have opportunities for international collaboration/interaction with other partners of the
INDEX project.
The project studies efficient incremental solutions to combinatorial optimization problems occurring in
design of computer experiments. The objective is to propose an ordered design (a sequence of runs)
which is nearly optimal (for the corresponding size) when stopped at any point, while satisfying a set of
intrinsic user-defined constraints.
For more details, please visit the project web site https://sdb3.i3s.unice.fr/anrindex
Applicants must have a Ph.D. in applied mathematics or theoretical computer science, with a strong
background in probability and statistics, approximation and complexity theory, or discrete optimization.
Knowledge in functional analysis and measure theory will be particularly appreciated.
All applications should include
- a cover letter describing the interest in the position,
- a detailed CV,
- two or more letters of recommendation.
Potential applicants should contact Luc Pronzato (pronzato@i3s.unice.fr), Enrico Formenti
(enrico.formenti@unice.fr) or Maria João Rendas (rendas@i3s.unice.fr).
✔️ @ApplyTime
The project studies efficient incremental solutions to combinatorial optimization problems occurring in design of computer experiments. The objective is to propose an ordered design (a sequence of runs) which is nearly optimal (for the corresponding size) when stopped at any point, while satisfying a set of intrinsic user-defined constraints.
Applicants must hold a Ph.D. in applied mathematics or theoretical computer science, with a strong background in probability and statistics, approximation and complexity theory, or discrete optimization. Knowledge in functional analysis and measure theory will be particularly appreciated.
If interested contact Luc Pronzato (pronzato (at) i3s (dot) unice (dot) fr), Enrico Formenti (enrico (dot) formenti (at) unice (dot) fr) or Maria João Rendas (rendas (at) i3s (dot) unice (dot) fr).
In the context of the international ANR project INDEX (INcremental Design of EXperiments), I3S
invites applications for full-time post-doc positions, starting between Oct 1, 2019 and Jan. 15, 2020
(negotiable).
Candidates will have opportunities for international collaboration/interaction with other partners of the
INDEX project.
The project studies efficient incremental solutions to combinatorial optimization problems occurring in
design of computer experiments. The objective is to propose an ordered design (a sequence of runs)
which is nearly optimal (for the corresponding size) when stopped at any point, while satisfying a set of
intrinsic user-defined constraints.
For more details, please visit the project web site https://sdb3.i3s.unice.fr/anrindex
Applicants must have a Ph.D. in applied mathematics or theoretical computer science, with a strong
background in probability and statistics, approximation and complexity theory, or discrete optimization.
Knowledge in functional analysis and measure theory will be particularly appreciated.
All applications should include
- a cover letter describing the interest in the position,
- a detailed CV,
- two or more letters of recommendation.
Potential applicants should contact Luc Pronzato (pronzato@i3s.unice.fr), Enrico Formenti
(enrico.formenti@unice.fr) or Maria João Rendas (rendas@i3s.unice.fr).
✔️ @ApplyTime
PhD positions at Edinburgh in Biomedical Artificial Intelligence
Are you interested in pursuing a PhD developing AI for the common good? Positions are available at the School of Informatics, University of Edinburgh, as part of the newly awarded UKRI Centre for Doctoral Training in Biomedical AI. This is a fantastic opportunity for 4-years, generously funded interdisciplinary research training at the interface of Informatics, Life Sciences and Social Sciences.
For further information and how to apply, please visit http://web.inf.ed.ac.uk/cdt/biomedical-ai
Best regards,
G
Dr Guido Sanguinetti
Professor of Computational Bioinformatics,
School of Informatics & SynthSys
10 Crichton St
Edinburgh EH8 9AB
tel: +44(0)131 6505136
email: gsanguin@inf.ed.ac.uk
✔️ @ApplyTime
Are you interested in pursuing a PhD developing AI for the common good? Positions are available at the School of Informatics, University of Edinburgh, as part of the newly awarded UKRI Centre for Doctoral Training in Biomedical AI. This is a fantastic opportunity for 4-years, generously funded interdisciplinary research training at the interface of Informatics, Life Sciences and Social Sciences.
For further information and how to apply, please visit http://web.inf.ed.ac.uk/cdt/biomedical-ai
Best regards,
G
Dr Guido Sanguinetti
Professor of Computational Bioinformatics,
School of Informatics & SynthSys
10 Crichton St
Edinburgh EH8 9AB
tel: +44(0)131 6505136
email: gsanguin@inf.ed.ac.uk
✔️ @ApplyTime
The University of Edinburgh
UKRI CDT in Biomedical AI
One or more PhD Stipends in Machine Learning for Wireless Communications (8-19014)
At the Technical Faculty of IT and Design, Department of Electronic Systems, one ore more PhD stipends in Ultra-reliable Low Latency Connectivity are available within the general study programme Wireless Communications. The stipends are open for appointment at the latest September 1, 2019.
WINDMILL Early Stage Researcher 6: Predictive Machine Learning for multiuser beamforming in massive MIMO
Aalborg University is seeking to hire an Early Stage Researcher (ESR) to join the Marie Skłodowska-Curie Innovative Training Network on “Integrating Wireless Communication ENgineering and MachIne Learning”.(WindMill). More details are included https://windmill-itn.eu/
The project offers an excellent research and training programme:
Opportunity to join a network of leading Universities, research institutes and companies in the field of wireless communications and machine learning.
The ESR is primarily hosted by Aalborg University with stays in partner institutions (secondments).
Training programme including regular summer and winter schools to build technical skills as well as soft skills.
The salary is very competitive The salaries are very competitive and composed by the following allowances: living, mobility and family (the latest only if eligible, see criteria of eligibility in the project’s website).
The ESR will be enrolled in the PhD programme at Aalborg University. The supervision team includes: Prof. Elisabeth de Carvalho, Prof. Petar Popovski and Prof. Cedomir Stefanovic. The objectives of the PhD project are: (1) Develop machine learning approaches to build feature maps of the radio environment using antenna arrays of very large dimension (large intelligent surfaces) or distributed antenna arrays, (2) Develop methodology to extract features to be exploited for different use cases (high data rate, low latency, IoT), (3) Devise low complexity multi-user beamforming techniques for very large arrays based on radio maps and machine learning approaches.
Eligibility Requirements
All candidates must meet the following requirements to be considered for this post:
More Info
✔️ @ApplyTime
At the Technical Faculty of IT and Design, Department of Electronic Systems, one ore more PhD stipends in Ultra-reliable Low Latency Connectivity are available within the general study programme Wireless Communications. The stipends are open for appointment at the latest September 1, 2019.
WINDMILL Early Stage Researcher 6: Predictive Machine Learning for multiuser beamforming in massive MIMO
Aalborg University is seeking to hire an Early Stage Researcher (ESR) to join the Marie Skłodowska-Curie Innovative Training Network on “Integrating Wireless Communication ENgineering and MachIne Learning”.(WindMill). More details are included https://windmill-itn.eu/
The project offers an excellent research and training programme:
Opportunity to join a network of leading Universities, research institutes and companies in the field of wireless communications and machine learning.
The ESR is primarily hosted by Aalborg University with stays in partner institutions (secondments).
Training programme including regular summer and winter schools to build technical skills as well as soft skills.
The salary is very competitive The salaries are very competitive and composed by the following allowances: living, mobility and family (the latest only if eligible, see criteria of eligibility in the project’s website).
The ESR will be enrolled in the PhD programme at Aalborg University. The supervision team includes: Prof. Elisabeth de Carvalho, Prof. Petar Popovski and Prof. Cedomir Stefanovic. The objectives of the PhD project are: (1) Develop machine learning approaches to build feature maps of the radio environment using antenna arrays of very large dimension (large intelligent surfaces) or distributed antenna arrays, (2) Develop methodology to extract features to be exploited for different use cases (high data rate, low latency, IoT), (3) Devise low complexity multi-user beamforming techniques for very large arrays based on radio maps and machine learning approaches.
Eligibility Requirements
All candidates must meet the following requirements to be considered for this post:
More Info
✔️ @ApplyTime
EURAXESS
One or more PhD Stipends in Machine Learning for Wireless Communications (8-19014)
At the Technical Faculty of IT and Design, Department of Electronic Systems, one ore more PhD stipends in Ultra-reliable Low Latency Connectivity are available within the general study programme Wireless Communications. The stipends are open for appointment…
PhD Position: The changing meaning of retirement - Deadline: 2 June
It has been frequently argued that babyboom cohorts have different needs and ambitions for retirement than earlier generations, and that they will even ‘redefine’ or ‘reinvent’ retirement. This PhD project will examine older adults’ pre-retirement preferences with respect to their future life, as well as their post retirement activities. The project will make use of the NIDI Pension Panel Survey (NPPS) in which more than 5.000, 60-plus older workers are followed in their transition to retirement.
This PhD project is part of the project “Ageing workers in an ageing society: Labour force transitions and work in late life” and is funded Netspar and NWO. The PhD project is based at NIDI in The Hague. The PhD candidate will write a dissertation, based on a set of research articles, publishable in international refereed journals.
Main tasks:
Writing academic articles.
Data analysis of the NIDI-Pension Panel Survey (NPPS).
Contribution to the dissemination of research findings.
Requirements
Completed a Research Master in one of the social sciences, or a comparable background.
Solid knowledge of statistical methods for the analysis large-scale survey data.
Knowledge of labour market, gerontology, organizational science literatures.
Excellent knowledge of English.
Good writing and social skills.
Conditions of employment
The initial appointment will be for a period of one year. After a positive evaluation, the appointment will be extended for another two and a half years. A psychological assessment may be part of the selection procedure. The gross monthly salary will be between € 2,325,- (year 1) and € 2,972,- (year 4). Benefits include pension contribution, annual holiday premium of 8% and an end-of-year premium of 8.3%. Non-Dutch nationals may be eligible for a substantial tax break (30% ruling). Applicants should have the right to work in the Netherlands for the duration of the contract.
Employer
The Netherlands Interdisciplinary Demographic Institute (NIDI-KNAW) is an Academy research institute. NIDI conducts research on population issues and informs policymakers and society about the results of demographic research. By concentrating researchers from different disciplines in a single institute, NIDI has become one of the most important demographic research centres in Europe.
Additional information
For additional information you may contact prof. dr. Kène Henkens (email: henkens@nidi.nl or phone: +31 703565235) or dr. ir. Hanna van Solinge (email: solinge@nidi.nl or phone: + 31 703565244).
We will not respond to any supplier enquiries based on this job advertisement.
✔️ @ApplyTime
It has been frequently argued that babyboom cohorts have different needs and ambitions for retirement than earlier generations, and that they will even ‘redefine’ or ‘reinvent’ retirement. This PhD project will examine older adults’ pre-retirement preferences with respect to their future life, as well as their post retirement activities. The project will make use of the NIDI Pension Panel Survey (NPPS) in which more than 5.000, 60-plus older workers are followed in their transition to retirement.
This PhD project is part of the project “Ageing workers in an ageing society: Labour force transitions and work in late life” and is funded Netspar and NWO. The PhD project is based at NIDI in The Hague. The PhD candidate will write a dissertation, based on a set of research articles, publishable in international refereed journals.
Main tasks:
Writing academic articles.
Data analysis of the NIDI-Pension Panel Survey (NPPS).
Contribution to the dissemination of research findings.
Requirements
Completed a Research Master in one of the social sciences, or a comparable background.
Solid knowledge of statistical methods for the analysis large-scale survey data.
Knowledge of labour market, gerontology, organizational science literatures.
Excellent knowledge of English.
Good writing and social skills.
Conditions of employment
The initial appointment will be for a period of one year. After a positive evaluation, the appointment will be extended for another two and a half years. A psychological assessment may be part of the selection procedure. The gross monthly salary will be between € 2,325,- (year 1) and € 2,972,- (year 4). Benefits include pension contribution, annual holiday premium of 8% and an end-of-year premium of 8.3%. Non-Dutch nationals may be eligible for a substantial tax break (30% ruling). Applicants should have the right to work in the Netherlands for the duration of the contract.
Employer
The Netherlands Interdisciplinary Demographic Institute (NIDI-KNAW) is an Academy research institute. NIDI conducts research on population issues and informs policymakers and society about the results of demographic research. By concentrating researchers from different disciplines in a single institute, NIDI has become one of the most important demographic research centres in Europe.
Additional information
For additional information you may contact prof. dr. Kène Henkens (email: henkens@nidi.nl or phone: +31 703565235) or dr. ir. Hanna van Solinge (email: solinge@nidi.nl or phone: + 31 703565244).
We will not respond to any supplier enquiries based on this job advertisement.
✔️ @ApplyTime
PhD positions in Leuven
Multiple funded PhD positions are available in the Center for Processing Speech and Images at KU Leuven under the supervision of Prof. Matthew Blaschko. The positions are on the topic of deep neural networks, Bayesian optimization, computer vision, and medical image analysis. The Center for Processing Speech and Images is a highly active research group that regularly publishes in the top conferences in machine learning (ICML, NeurIPS) and computer vision (CVPR, ICCV, ECCV). The working language of the group is English.
Leuven is a historic university city in Belgium 25 minutes from Brussels, boasting a beautiful and safe environment, excellent quality of life, and a lively intellectual atmosphere. KU Leuven is consistently the top ranked university in Belgium and one of the top universities in Europe and the world.
The successful candidate will have excellent grades, a passion for science and research, and very good communication and technical skills. A masters degree in computer science, applied mathematics, electrical engineering, or a related field is required. Interested candidates should send (i) a CV, (ii) motivation letter, and (iii) if applicable a copy of a published paper or masters thesis to matthew.blaschko@esat.kuleuven.be with "PhD Application" in the subject line.
Additional information can be found at
http://www.esat.kuleuven.be/psi/
http://homes.esat.kuleuven.be/~mblaschk/
✔️ @ApplyTime
Multiple funded PhD positions are available in the Center for Processing Speech and Images at KU Leuven under the supervision of Prof. Matthew Blaschko. The positions are on the topic of deep neural networks, Bayesian optimization, computer vision, and medical image analysis. The Center for Processing Speech and Images is a highly active research group that regularly publishes in the top conferences in machine learning (ICML, NeurIPS) and computer vision (CVPR, ICCV, ECCV). The working language of the group is English.
Leuven is a historic university city in Belgium 25 minutes from Brussels, boasting a beautiful and safe environment, excellent quality of life, and a lively intellectual atmosphere. KU Leuven is consistently the top ranked university in Belgium and one of the top universities in Europe and the world.
The successful candidate will have excellent grades, a passion for science and research, and very good communication and technical skills. A masters degree in computer science, applied mathematics, electrical engineering, or a related field is required. Interested candidates should send (i) a CV, (ii) motivation letter, and (iii) if applicable a copy of a published paper or masters thesis to matthew.blaschko@esat.kuleuven.be with "PhD Application" in the subject line.
Additional information can be found at
http://www.esat.kuleuven.be/psi/
http://homes.esat.kuleuven.be/~mblaschk/
✔️ @ApplyTime
Departement Elektrotechniek (ESAT)
Processing Speech and Images
Research Director in Medical Imaging - France, Strasbourg
Hi everyone,
For my client, a company who design guided surgery tools for orthopaedics surgeons, I am hiring a Research Director in medical imaging, Machine learning skills are really welcome (Full job description below). Strasbourg, France. You'll be directly employed by them for a full-time contract.
Don't delay, just send me your resume at tania.ocana@sciencemeup.com. I'll give you a fast answer, you can also contact me with any questions!
Science me up is a recruitment agency that focuses its activities on the recruitment of scientists and qualified technical profiles.
Research Director in Computer Science Image Processing, Strasbourg, France
Our client is seeking a Research Director to lead a team of seven researchers who are working on research and development activities for new surgical medical image analysis technology. This position is a unique opportunity to work in a small team of dedicated engineers, scientists, and medical doctors to help design and build intraoperative computer vision tools for orthopedics.
The ideal candidate will have experience managing a team and have a strong background in Medical Image Processing. You’ll work in a dynamic and flexible R&D environment in Strasbourg, France.
Primary Job Duties & Responsibilities
Research and prototype image processing applications to solve problems in orthopedic surgeries
Manage and monitor the activities of a multidisciplinary team to integrate solutions into existing products
Serve as a team resource for decision making and guidance.
Proactively lead problem-solving efforts; provide suggestions and take action on areas needing improvement.
Provide mentoring and coaching to create a good environment; maintain a positive attitude in challenging situations.
Develop and maintain partnerships with local, national and international institutions and universities.
May require travel to conferences to research new technologies and research
Minimum Qualifications
Ph.D. in Computer Science, Computer Engineering, or related field, with a focus on medical image processing.
At least 5 years of experience as a researcher in academia
Good academic network
Familiarity with fluoroscopic, x-ray, CT and MRI imaging modalities
Working knowledge of image registration techniques and mathematics
Working knowledge of image segmentation techniques and mathematics
C++ development experience
A demonstrated ability to meaningfully contribute to software development projects
Excellent communication (written and oral) and interpersonal skills – proficiency in English
Preferred Qualifications
Expertise in machine learning as applied to medical images
Experience with mathematics and application of statistical shape modeling
2D-3D registration experience / knowledge
Working knowledge of software verification and validation, including continuous integration methodologies and tools
Agile project methodologies
Experience with applied image processing and/or computer vision
Experience with any of the following toolkits: VTK, ITK, OpenCV, CMake, Qt
Medical device software development experience
Others job position for Scientist (Researcher in Computer vision - machine learning; Researcher in Augmented Reality or Virtual Reality)
at https://sciencemeup.com/en/
✔️ @ApplyTime
Hi everyone,
For my client, a company who design guided surgery tools for orthopaedics surgeons, I am hiring a Research Director in medical imaging, Machine learning skills are really welcome (Full job description below). Strasbourg, France. You'll be directly employed by them for a full-time contract.
Don't delay, just send me your resume at tania.ocana@sciencemeup.com. I'll give you a fast answer, you can also contact me with any questions!
Science me up is a recruitment agency that focuses its activities on the recruitment of scientists and qualified technical profiles.
Research Director in Computer Science Image Processing, Strasbourg, France
Our client is seeking a Research Director to lead a team of seven researchers who are working on research and development activities for new surgical medical image analysis technology. This position is a unique opportunity to work in a small team of dedicated engineers, scientists, and medical doctors to help design and build intraoperative computer vision tools for orthopedics.
The ideal candidate will have experience managing a team and have a strong background in Medical Image Processing. You’ll work in a dynamic and flexible R&D environment in Strasbourg, France.
Primary Job Duties & Responsibilities
Research and prototype image processing applications to solve problems in orthopedic surgeries
Manage and monitor the activities of a multidisciplinary team to integrate solutions into existing products
Serve as a team resource for decision making and guidance.
Proactively lead problem-solving efforts; provide suggestions and take action on areas needing improvement.
Provide mentoring and coaching to create a good environment; maintain a positive attitude in challenging situations.
Develop and maintain partnerships with local, national and international institutions and universities.
May require travel to conferences to research new technologies and research
Minimum Qualifications
Ph.D. in Computer Science, Computer Engineering, or related field, with a focus on medical image processing.
At least 5 years of experience as a researcher in academia
Good academic network
Familiarity with fluoroscopic, x-ray, CT and MRI imaging modalities
Working knowledge of image registration techniques and mathematics
Working knowledge of image segmentation techniques and mathematics
C++ development experience
A demonstrated ability to meaningfully contribute to software development projects
Excellent communication (written and oral) and interpersonal skills – proficiency in English
Preferred Qualifications
Expertise in machine learning as applied to medical images
Experience with mathematics and application of statistical shape modeling
2D-3D registration experience / knowledge
Working knowledge of software verification and validation, including continuous integration methodologies and tools
Agile project methodologies
Experience with applied image processing and/or computer vision
Experience with any of the following toolkits: VTK, ITK, OpenCV, CMake, Qt
Medical device software development experience
Others job position for Scientist (Researcher in Computer vision - machine learning; Researcher in Augmented Reality or Virtual Reality)
at https://sciencemeup.com/en/
✔️ @ApplyTime
Science Me Up
Science Me Up ~ Embarquez avec nous!
Science me Up accompagne les acteurs de l'innovation via trois pôles d'activités: le recrutement scientifique, la formation et l'événementiel scientifique.
Post-doc and MRes positions in Computer Vision
A gentle reminder about the approaching deadlines for the below two positions.
A post-doc position is available to work on an exciting, cross-disciplinary collaborative project (UK-India research collaboration) to develop advanced computer vision and deep learning algorithms for monitoring and anticipating driver’s activities (Deadline: 02/06/2019). The detailed application procedure can be found here: https://jobs.edgehill.ac.uk/Vacancy.aspx?ref=EHR0080-0419
There are also two MRes studentships to carry out research in computer vision and deep learning, focusing on human activity recognition and monitoring. The studentships involve a stipend of £15,073 pa and MRes fees waiver for 1 year (Deadline: Wednesday 05 June 2019 at 16:00 BST). The details can be found here https://www.edgehill.ac.uk/graduateschool/mres-studentships-computer-science-charm-context-aware-human-activity-recognition-and-monitoring-for-intelligent-vehicles/
Informal enquiries may be addressed to beheraa@edgehill.ac.uk (Ardhendu Behera)
Many thanks and kind regards,
Ardhendu
--------------------------
Dr Ardhendu Behera
Senior Lecturer, Department of Computer Science
Edge Hill University, Ormskirk, Lancashire, L39 4QP
https://www.edgehill.ac.uk/computerscience/
https://computing.edgehill.ac.uk/~abehera/
T: +44 (0) 1695 65 7270
✔️ @ApplyTime
A gentle reminder about the approaching deadlines for the below two positions.
A post-doc position is available to work on an exciting, cross-disciplinary collaborative project (UK-India research collaboration) to develop advanced computer vision and deep learning algorithms for monitoring and anticipating driver’s activities (Deadline: 02/06/2019). The detailed application procedure can be found here: https://jobs.edgehill.ac.uk/Vacancy.aspx?ref=EHR0080-0419
There are also two MRes studentships to carry out research in computer vision and deep learning, focusing on human activity recognition and monitoring. The studentships involve a stipend of £15,073 pa and MRes fees waiver for 1 year (Deadline: Wednesday 05 June 2019 at 16:00 BST). The details can be found here https://www.edgehill.ac.uk/graduateschool/mres-studentships-computer-science-charm-context-aware-human-activity-recognition-and-monitoring-for-intelligent-vehicles/
Informal enquiries may be addressed to beheraa@edgehill.ac.uk (Ardhendu Behera)
Many thanks and kind regards,
Ardhendu
--------------------------
Dr Ardhendu Behera
Senior Lecturer, Department of Computer Science
Edge Hill University, Ormskirk, Lancashire, L39 4QP
https://www.edgehill.ac.uk/computerscience/
https://computing.edgehill.ac.uk/~abehera/
T: +44 (0) 1695 65 7270
✔️ @ApplyTime
Jobs at Edge Hill University
Job Vacancy at Edge Hill University: IT Service Desk Analyst - Internal Only
We’re here to create and harness knowledge, to deliver opportunity for everyone.About the RoleThis is an exciting opportunity for an IT Service Desk Analyst to join the department of Technology within Digital, Data and Technology. The main...
Tenure-Track Position in Department of Human Development, California State University Long Beach
Greetings!
The Department of Human Development at California State University Long Beach is pleased to announce a Tenure-Track Position Opening: Assistant Professor of Human Development, Black, African American, or African diaspora populations. CSULB is a vibrant, comprehensive, urban university with an enrollment of nearly 38,000 students, and is a flagship of the 23-member California State University (CSU) system. Review of applications begins September 6, 2019.
The ad is available here: https://academicjobsonline.org/ajo/jobs/13701
Please forward to all individuals who you believe would be interested.
Best regards,
Lauren
________________________________
Lauren Heidbrink, MA/MS, Ph.D.
Assistant Professor, Human Development
562.985.5290
lauren.heidbrink@csulb.edu
✔️ @ApplyTime
Greetings!
The Department of Human Development at California State University Long Beach is pleased to announce a Tenure-Track Position Opening: Assistant Professor of Human Development, Black, African American, or African diaspora populations. CSULB is a vibrant, comprehensive, urban university with an enrollment of nearly 38,000 students, and is a flagship of the 23-member California State University (CSU) system. Review of applications begins September 6, 2019.
The ad is available here: https://academicjobsonline.org/ajo/jobs/13701
Please forward to all individuals who you believe would be interested.
Best regards,
Lauren
________________________________
Lauren Heidbrink, MA/MS, Ph.D.
Assistant Professor, Human Development
562.985.5290
lauren.heidbrink@csulb.edu
✔️ @ApplyTime
academicjobsonline.org
Human Development / College of Liberal Arts, California State University, Long Beach
Full service online faculty recruitment site for academic institutions worldwide. We offer unique solutions tailored for academic communities.
PhD opportunity – Robotics in off-site prefabrication of buildings
Job No.: 593427
Location: Clayton campus
Employment Type: Full-time
Duration: 3 year fixed-term appointment
Remuneration: Annual tax-free stipend of $29,000
Applications are invited for a 3-year PhD within the Department of Civil Engineering at Monash University.
The PhD Project
Prefabrication has the advantages of simplicity, speed and economy but has been inflexible to changes in design which is a primary reason behind its limited market share in the construction industry. To tackle this drawback, there is need for research to develop a Robotic Prefabrication System (RPS) which employs a new concept towards automatic construction of a prefabricated structure. The RPS will consist of a software module and a hardware module. First, the software employs the 3D model of a prefabricated structure as input, and returns motor control command output to the hardware. There are numerous underlying algorithms developed in the software module. For example, a novel algorithm will computes the optimal fabrication sequence to transform one model into another according to the differences identified. Meanwhile, the hardware module takes the motor control commands as input and executes the appropriate assembly/disassembly operations, and returns the desired structure in real-time.
Validation tests on lab-scaled prefabricated structures will demonstrate the ability of the system to successfully generate desired fabrication sequences and perform all assembly operations with acceptable placement precision.
This PhD will leverage the latest technologies, data science and AI in the development of new building processes and techniques. This will enable the application of robotics to optimise all phases of building delivery.
The Opportunity
Scholarship covering tuition fees and providing a tax-free stipend (approximately $29,000/year) for 3 years is potentially available for either local or international students. There is potential for successful applicants to earn around $3,000 per annum through assisting in undergraduate teaching. Students are given financial support to attend an international conference during their
PhD.
Selection Criteria
The student will need to meet the following criteria:
Masters or Bachelor (H1 Honours) in Engineering (majoring in Civil, Mechanical, Electronics, or Aerospace Engineering, etc.);
An excellent academic record (GPA>90%);
Excellent English – Academic IELTS: minimum overall band score of 6.5 with no skill
less than 6.0; and
Proficiency in the Robot Operating System (ROS)
Application Process
Applicants will be required to apply for a scholarship through Monash University. Applicants should express their interest by writing to Dr Mehrdad Arashpour (mehrdad.arashpour@monash.edu) with the following documents:
1. Academic transcripts
2. Publication list
3. Up-to-date CV
4. English proficiency evidence (Academic IELTS)
5. Names and contact details of three academic referees.
Enquiries
Dr. Mehrdad Arashpour, Department of Civil Engineering, mehrdad.arashpour@monash.edu
Closing Date
Saturday 31 August 2019, 11:55 pm AEST
✔️ @ApplyTime
Job No.: 593427
Location: Clayton campus
Employment Type: Full-time
Duration: 3 year fixed-term appointment
Remuneration: Annual tax-free stipend of $29,000
Applications are invited for a 3-year PhD within the Department of Civil Engineering at Monash University.
The PhD Project
Prefabrication has the advantages of simplicity, speed and economy but has been inflexible to changes in design which is a primary reason behind its limited market share in the construction industry. To tackle this drawback, there is need for research to develop a Robotic Prefabrication System (RPS) which employs a new concept towards automatic construction of a prefabricated structure. The RPS will consist of a software module and a hardware module. First, the software employs the 3D model of a prefabricated structure as input, and returns motor control command output to the hardware. There are numerous underlying algorithms developed in the software module. For example, a novel algorithm will computes the optimal fabrication sequence to transform one model into another according to the differences identified. Meanwhile, the hardware module takes the motor control commands as input and executes the appropriate assembly/disassembly operations, and returns the desired structure in real-time.
Validation tests on lab-scaled prefabricated structures will demonstrate the ability of the system to successfully generate desired fabrication sequences and perform all assembly operations with acceptable placement precision.
This PhD will leverage the latest technologies, data science and AI in the development of new building processes and techniques. This will enable the application of robotics to optimise all phases of building delivery.
The Opportunity
Scholarship covering tuition fees and providing a tax-free stipend (approximately $29,000/year) for 3 years is potentially available for either local or international students. There is potential for successful applicants to earn around $3,000 per annum through assisting in undergraduate teaching. Students are given financial support to attend an international conference during their
PhD.
Selection Criteria
The student will need to meet the following criteria:
Masters or Bachelor (H1 Honours) in Engineering (majoring in Civil, Mechanical, Electronics, or Aerospace Engineering, etc.);
An excellent academic record (GPA>90%);
Excellent English – Academic IELTS: minimum overall band score of 6.5 with no skill
less than 6.0; and
Proficiency in the Robot Operating System (ROS)
Application Process
Applicants will be required to apply for a scholarship through Monash University. Applicants should express their interest by writing to Dr Mehrdad Arashpour (mehrdad.arashpour@monash.edu) with the following documents:
1. Academic transcripts
2. Publication list
3. Up-to-date CV
4. English proficiency evidence (Academic IELTS)
5. Names and contact details of three academic referees.
Enquiries
Dr. Mehrdad Arashpour, Department of Civil Engineering, mehrdad.arashpour@monash.edu
Closing Date
Saturday 31 August 2019, 11:55 pm AEST
✔️ @ApplyTime