3-year postdoc position: using fMRI to study the interaction of attention and motivation
We are currently accepting applications for a postdoctoral position in the lab of Bianca Wittmann at the University of Giessen, Germany, just 70 km north of Frankfurt.
The project will investigate the interaction of attentional processes and reward learning using fMRI. Our department offers a research-dedicated 3T MRI scanner with eye-tracking and peripheral physiology equipment. The project is part of the Collaborative Research Centre SFB/TRR 135 under the umbrella theme “Cardinal mechanisms of perception: Prediction, valuation, categorization” (www.sfb-perception.de). The Collaborative Research Centre offers a creative, cooperative environment uniting leading experts in vision research.
The successful candidate will be responsible for collecting and analyzing fMRI data using computational models of learning and decision-making, writing scientific papers and teaching in biological psychology according to the teaching regulations of the state of Hesse. We offer funding for research visits in collaborating research groups abroad (e.g. Princeton University, PI: Yael Niv).
We are looking for highly motivated candidates with a PhD in neuroscience, psychology, biology or a related field. Candidates should have good programming skills and prior publications using fMRI and/or computational modeling of learning or decision making.
For further information, please contact bianca.wittmann@psychol.uni-giessen.de.
✔️ @ApplyTime
We are currently accepting applications for a postdoctoral position in the lab of Bianca Wittmann at the University of Giessen, Germany, just 70 km north of Frankfurt.
The project will investigate the interaction of attentional processes and reward learning using fMRI. Our department offers a research-dedicated 3T MRI scanner with eye-tracking and peripheral physiology equipment. The project is part of the Collaborative Research Centre SFB/TRR 135 under the umbrella theme “Cardinal mechanisms of perception: Prediction, valuation, categorization” (www.sfb-perception.de). The Collaborative Research Centre offers a creative, cooperative environment uniting leading experts in vision research.
The successful candidate will be responsible for collecting and analyzing fMRI data using computational models of learning and decision-making, writing scientific papers and teaching in biological psychology according to the teaching regulations of the state of Hesse. We offer funding for research visits in collaborating research groups abroad (e.g. Princeton University, PI: Yael Niv).
We are looking for highly motivated candidates with a PhD in neuroscience, psychology, biology or a related field. Candidates should have good programming skills and prior publications using fMRI and/or computational modeling of learning or decision making.
For further information, please contact bianca.wittmann@psychol.uni-giessen.de.
✔️ @ApplyTime
Two PhD Scholarship Wideband Optical Network Nodes and Techniques
Work environment
Eindhoven University of Technology (https://www.tue.nl/en/) is one of Europe’s top technological universities, situated at the heart of a most innovative high-tech region. Thanks to a wealth of collaborations with industry and academic institutes, our research has real-world impact. TU/e is ranked among the first 100 in the Times Higher Educational World University ranking and 49th in the Shanghai ARWU ranking (engineering). TU/e has around 3,000 employees and 2,300 PhD students (half of which international, representing about 70 nationalities).
The candidate will work at the Department of Electrical Engineering (https://www.tue.nl/en/university/departments/electrical-engineering/). Within this department, research and education is done in domains of Telecommunication, Care and Cure, and Smart energy systems. The interfaculty Institute for Photonic Integration (IPI) performs research in the area of broadband telecommunication, by investigating the potential of optical technologies. As a key member of IPI, the Electro-Optical Communication Systems (ECO) group focuses its research on optical communication system techniques, ranging from systems for ultra-high capacity long reach transmission (encompassing single-mode, multi-mode and multi-core fiber systems), ultra-fast (all-) optical packet switching nodes, high-density intra-data center networks, to multi-service flexible access and in-building networks (including radio-over-fibre and optical wireless communication). ECO participates in several national and international projects.
More Info
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Work environment
Eindhoven University of Technology (https://www.tue.nl/en/) is one of Europe’s top technological universities, situated at the heart of a most innovative high-tech region. Thanks to a wealth of collaborations with industry and academic institutes, our research has real-world impact. TU/e is ranked among the first 100 in the Times Higher Educational World University ranking and 49th in the Shanghai ARWU ranking (engineering). TU/e has around 3,000 employees and 2,300 PhD students (half of which international, representing about 70 nationalities).
The candidate will work at the Department of Electrical Engineering (https://www.tue.nl/en/university/departments/electrical-engineering/). Within this department, research and education is done in domains of Telecommunication, Care and Cure, and Smart energy systems. The interfaculty Institute for Photonic Integration (IPI) performs research in the area of broadband telecommunication, by investigating the potential of optical technologies. As a key member of IPI, the Electro-Optical Communication Systems (ECO) group focuses its research on optical communication system techniques, ranging from systems for ultra-high capacity long reach transmission (encompassing single-mode, multi-mode and multi-core fiber systems), ultra-fast (all-) optical packet switching nodes, high-density intra-data center networks, to multi-service flexible access and in-building networks (including radio-over-fibre and optical wireless communication). ECO participates in several national and international projects.
More Info
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A fully-funded PhD fellowship in environmental sciences is available at University of Cambridge. This position is available for 3 years. This position is closed on February 22, 2019.
We invite applications for a 3-year funded PhD studentship starting in October 2019 under the supervision of Dr Enrico Crema, as part of the ERC-funded project "ENCOUNTER: Demography, Cultural change, and the Diffusion of Rice and Millet during the Jomon-Yayoi transition in prehistoric Japan"
The ENCOUNTER project seeks to investigate the transition from the Jomon to the Yayoi period, a major demic and cultural diffusion event that led the predominantly hunting, gathering, and fishing-based communities of the Japanese islands to adopt rice and millet farming during the 1st millennium BC. The reception to the new subsistence strategy and the associated cultural package was highly diverse and ultimately resulted into cultural, linguistic, and genetic clines that are still tangible today. The aim of the ENCOUNTER project is to determine why indigenous inhabitants responded so differently to the arrival of the new cultural package. It will examine the dynamics of this transition by synthesising one of the richest archaeological records available in the world and by employing a wide range of techniques, including but not limited to, organic residue analysis, summed probability distribution of radiocarbon dates, macro-evolutionary analysis of material culture, archaeobotanical analysis, computational and statistical modelling, and pollen-based reconstructions of vegetation cover.
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We invite applications for a 3-year funded PhD studentship starting in October 2019 under the supervision of Dr Enrico Crema, as part of the ERC-funded project "ENCOUNTER: Demography, Cultural change, and the Diffusion of Rice and Millet during the Jomon-Yayoi transition in prehistoric Japan"
The ENCOUNTER project seeks to investigate the transition from the Jomon to the Yayoi period, a major demic and cultural diffusion event that led the predominantly hunting, gathering, and fishing-based communities of the Japanese islands to adopt rice and millet farming during the 1st millennium BC. The reception to the new subsistence strategy and the associated cultural package was highly diverse and ultimately resulted into cultural, linguistic, and genetic clines that are still tangible today. The aim of the ENCOUNTER project is to determine why indigenous inhabitants responded so differently to the arrival of the new cultural package. It will examine the dynamics of this transition by synthesising one of the richest archaeological records available in the world and by employing a wide range of techniques, including but not limited to, organic residue analysis, summed probability distribution of radiocarbon dates, macro-evolutionary analysis of material culture, archaeobotanical analysis, computational and statistical modelling, and pollen-based reconstructions of vegetation cover.
More Info
✔️ @ApplyTime
3 Year PhD Studentship in Enabling Next Generation Additive Manufacturing
Title: Novel micro/nano scale characterisation of interfaces in multimaterial additive manufacturing (3D printing).
PhD Project description:
A primary concern with regards to enabling this next generation of AM systems is the difficulty of inter and intra layer coalescence/bonding of functional-structural or functional-functional materials due to differences in physical state, chemistry and temperature at deposition or conversion. To overcome these problems one of the requirements is the development of a suite of ex-situ interface analysis techniques capable of delivering a complete 3D characterisation of samples at the micro/nano scale with high spatial resolution. These are not limited by, but rely strongly on, techniques such as focused ion beam (FIB), (cryo) scanning electron microscopy (SEM) and scanning transmission electron microscopy (STEM). The aim of this project is to advance the fundamental understanding of interface phenomena in multi-material additive manufacturing and this will be achieved mainly by the development of tailored methodologies related to all strands of electron microscopy. Work will mostly be carried out in the Centre for Additive Manufacturing - CfAM as well as in the Nanoscale and Microscale Research Centre - nmRC (https://www.nottingham.ac.uk/nmrc).
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Title: Novel micro/nano scale characterisation of interfaces in multimaterial additive manufacturing (3D printing).
PhD Project description:
A primary concern with regards to enabling this next generation of AM systems is the difficulty of inter and intra layer coalescence/bonding of functional-structural or functional-functional materials due to differences in physical state, chemistry and temperature at deposition or conversion. To overcome these problems one of the requirements is the development of a suite of ex-situ interface analysis techniques capable of delivering a complete 3D characterisation of samples at the micro/nano scale with high spatial resolution. These are not limited by, but rely strongly on, techniques such as focused ion beam (FIB), (cryo) scanning electron microscopy (SEM) and scanning transmission electron microscopy (STEM). The aim of this project is to advance the fundamental understanding of interface phenomena in multi-material additive manufacturing and this will be achieved mainly by the development of tailored methodologies related to all strands of electron microscopy. Work will mostly be carried out in the Centre for Additive Manufacturing - CfAM as well as in the Nanoscale and Microscale Research Centre - nmRC (https://www.nottingham.ac.uk/nmrc).
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✔️ @ApplyTime
PhD: Imitation learning and inverse control
Functieomschrijving
The goal is to instruct robots by example how the task should be performed. We will rely on human demonstrations using skeleton tracking or motion capture rather than on kinesthetic demonstrations. The trajectories of the end-effector(s), as well as associated force and compliance parameters will be learned for individual sub-tasks. Direct mapping from human demonstrations to a robot is not always efficient due to different embodiments, hence we rather want to extract the priors and the general strategies for tasks as well as the objective functions. Instead of directly guiding the behavior of the robot, we can update the task specifications by estimating the intended user goal via an inverse control problem.
This vacancy is part of the FlexCRAFT program funded by the Netherlands Organization for Scientific Research (NWO). The goal of the program is to develop new robotics solutions for agriculture and food processing, where robots must be able to handle a substantial variation in shape, size and hardness of the different products, which is still a major challenge for the current robotics technology. The research aims at developing generic skills for robots to enable them to perform operations like automated harvesting of tomatoes, processing and packaging of meat and the packaging of bags of crisps and boxes of biscuits. The FlexCRAFT program builds on a unique consortium of universities and companies including: Wageningen Universiteit & Research, Eindhoven University of Technology, Delft University of Technology, University of Twente, University of Amsterdam, ABB, AgriFoodTech Platform, Aris BV, BluePrint Automation, Cellar Land, Cerescon, Demcon, Festo, GMV, Houdijk Holland, Marel Stork Poultry Processing, Maxon Motor, Priva, Protonic Holland, Rijk Zwaan, and 3DUniversum.
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Functieomschrijving
The goal is to instruct robots by example how the task should be performed. We will rely on human demonstrations using skeleton tracking or motion capture rather than on kinesthetic demonstrations. The trajectories of the end-effector(s), as well as associated force and compliance parameters will be learned for individual sub-tasks. Direct mapping from human demonstrations to a robot is not always efficient due to different embodiments, hence we rather want to extract the priors and the general strategies for tasks as well as the objective functions. Instead of directly guiding the behavior of the robot, we can update the task specifications by estimating the intended user goal via an inverse control problem.
This vacancy is part of the FlexCRAFT program funded by the Netherlands Organization for Scientific Research (NWO). The goal of the program is to develop new robotics solutions for agriculture and food processing, where robots must be able to handle a substantial variation in shape, size and hardness of the different products, which is still a major challenge for the current robotics technology. The research aims at developing generic skills for robots to enable them to perform operations like automated harvesting of tomatoes, processing and packaging of meat and the packaging of bags of crisps and boxes of biscuits. The FlexCRAFT program builds on a unique consortium of universities and companies including: Wageningen Universiteit & Research, Eindhoven University of Technology, Delft University of Technology, University of Twente, University of Amsterdam, ABB, AgriFoodTech Platform, Aris BV, BluePrint Automation, Cellar Land, Cerescon, Demcon, Festo, GMV, Houdijk Holland, Marel Stork Poultry Processing, Maxon Motor, Priva, Protonic Holland, Rijk Zwaan, and 3DUniversum.
More Info
✔️ @ApplyTime
NRC Carrière
Vacature: PhD: Imitation learning and inverse control, Mekelweg
The goal is to instruct robots by example how the task should be performed. We will rely on human demonstrations using skeleton tracking or motion capture …
PhD Position for Synthetic Biology-inspired Therapies
The Biotechnology and Bioengineering group directed by Prof. Martin Fussenegger at the Department of Biosystems Science and Engineering (D-BSSE), ETH Zurich in Basel is recruiting a Doctoral student (PhD) for a research project in the field of personalized medicine. The project involves developing a synthetic biology framework for engineering islet microtissues from patient-derived pluripotent stem cells. The successful candidate is exceptionally motivated and highly skilled in standard molecular, cell biology and/or has experience in cultivating as well as differentiating stem cells. Additionally, we expect an outstanding study record.
Our group uses state-of-the-art Synthetic Biology principles to develop cell-based therapies for cancer, metabolic and autoimmune diseases. Please consult our webpage (https://www.bsse.ethz.ch/research/research-groups/biotechnology-and-bioengineering.html) and published work for further information: (https://www.ncbi.nlm.nih.gov/pubmed/?term=fussenegger+m)
More Info
✔️ @ApplyTime
The Biotechnology and Bioengineering group directed by Prof. Martin Fussenegger at the Department of Biosystems Science and Engineering (D-BSSE), ETH Zurich in Basel is recruiting a Doctoral student (PhD) for a research project in the field of personalized medicine. The project involves developing a synthetic biology framework for engineering islet microtissues from patient-derived pluripotent stem cells. The successful candidate is exceptionally motivated and highly skilled in standard molecular, cell biology and/or has experience in cultivating as well as differentiating stem cells. Additionally, we expect an outstanding study record.
Our group uses state-of-the-art Synthetic Biology principles to develop cell-based therapies for cancer, metabolic and autoimmune diseases. Please consult our webpage (https://www.bsse.ethz.ch/research/research-groups/biotechnology-and-bioengineering.html) and published work for further information: (https://www.ncbi.nlm.nih.gov/pubmed/?term=fussenegger+m)
More Info
✔️ @ApplyTime
funded PhD position: using fMRI to study the interaction of attention and motivation
We are currently accepting applications for a funded PhD position in the lab of Bianca Wittmann at the University of Giessen, Germany, just 70 km north of Frankfurt.
The project will investigate the interaction of attentional processes and reward learning using fMRI. Our department offers a research-dedicated 3T MRI scanner with eye-tracking and peripheral physiology equipment. The project is part of the Collaborative Research Centre SFB/TRR 135 under the umbrella theme “Cardinal mechanisms of perception: Prediction, valuation, categorization” (www.sfb-perception.de). We offer a highly motivated environment with excellent conditions for scientific training. The research centre unites leading experts in perception research.
The successful candidate will be responsible for collecting and analyzing fMRI data and for writing scientific papers. We offer funding for research visits in collaborating research groups abroad (e.g. Princeton University, PI: Yael Niv).
✔️ @ApplyTime
We are currently accepting applications for a funded PhD position in the lab of Bianca Wittmann at the University of Giessen, Germany, just 70 km north of Frankfurt.
The project will investigate the interaction of attentional processes and reward learning using fMRI. Our department offers a research-dedicated 3T MRI scanner with eye-tracking and peripheral physiology equipment. The project is part of the Collaborative Research Centre SFB/TRR 135 under the umbrella theme “Cardinal mechanisms of perception: Prediction, valuation, categorization” (www.sfb-perception.de). We offer a highly motivated environment with excellent conditions for scientific training. The research centre unites leading experts in perception research.
The successful candidate will be responsible for collecting and analyzing fMRI data and for writing scientific papers. We offer funding for research visits in collaborating research groups abroad (e.g. Princeton University, PI: Yael Niv).
✔️ @ApplyTime
Postdoc on the intersection of IR, NLP and ML - University College London
The Department of Computer Science at the University College London (UCL) has a vacancy for a Postdoctoral Research Associate to work in the group of Prof. Emine Yilmaz. The postdoc will pursue research projects on the intersection of Information Retrieval, Natural Language Processing and Machine Learning where humans and computational technology jointly achieve system-wide goals.
The postdoc will work on the “Task Based Information Retrieval” EPSRC project together with one more postdoc and two PhD students. The final goal of the project is to devise systems that collaborate with humans and provide assistance in completing complex tasks.
Follow the link to learn more about the position and the application process.
Link
If you have any queries regarding the vacancy or the application process, please contact Prof. Emine Yilmaz at emine.yilmaz@ucl.ac.uk.
✔️ @ApplyTime
The Department of Computer Science at the University College London (UCL) has a vacancy for a Postdoctoral Research Associate to work in the group of Prof. Emine Yilmaz. The postdoc will pursue research projects on the intersection of Information Retrieval, Natural Language Processing and Machine Learning where humans and computational technology jointly achieve system-wide goals.
The postdoc will work on the “Task Based Information Retrieval” EPSRC project together with one more postdoc and two PhD students. The final goal of the project is to devise systems that collaborate with humans and provide assistance in completing complex tasks.
Follow the link to learn more about the position and the application process.
Link
If you have any queries regarding the vacancy or the application process, please contact Prof. Emine Yilmaz at emine.yilmaz@ucl.ac.uk.
✔️ @ApplyTime
Unique Senior Researcher Position at Örebro University
The University of Örebro* seeks to appoint a full-time senior researcher with established expertise in AI and Machine Learning.
Job description: This is a unique academic position. The appointed candidate should hold a PhD or be near to completion. She or he will work closely together with different research groups at Örebro University who represent specific research problems and need AI/ML expertise in their projects . However, the candidate is *not* expected to acquire external funding and will *not* have to teach. Instead, she will act as AI/ML expert and interface to the technical infrastructure. The position thus leaves room to keep in touch with current AI/ML developments and admits improvement of specialist skills. While the candidate will be of course included in all publications that result from the collaboration with other researchers at Örebro University, it is optional to pro-actively drive research or to develop an own research portfolio beyond her core expertise.
Research environment: The position is jointly offered by three research environments at Örebro University: AASS**, MTM/EnForce***, and MV****. AASS is one of the nationally leading research groups in robotics, AI and applied Machine Learning. MTM/EnForce also has a nationally strong position in environmental chemistry and toxicology. The School of Medical Sciences (MV) hosts several strong research environments (NGBI, iRiSC, CVRC) which, together with the associated Functional Bioinformatics group, conduct research in applying and further developing machine learning approaches for pattern discovery in bio-medicine (biosignatures for diagnosis, prediction and prognosis) as well as for systems for biological applications (network biology and network medicine).
Prerequisites: We are looking for candidates who hold a PhD (or are near to completion) who are excited about applying AI/Machine Learning techniques and keen to have a strong, positive impact on the society. We envisage successful candidates have a strong background in AI/Machine Learning, demonstrated by their previous research work.
More information can be found in the full call linked below.
Full call: https://goo.gl/6jRfGj
MRO Lab: http://www.mrolab.eu
AASS: http://www.aass.oru.se
Örebro University: http://www.oru.se
Contact Person: Prof. Achim J. Lilienthal (achim.lilienthal@oru.se), Prof. Dirk Repsilber (dirk.repsilber@oru.se), or Prof. Magnus Engwall (magnus.engwall@oru.se)
Contact Person, Web Page: http://www.mrolab.eu/people/achim-lilienthal/
* http://www.oru.se/
** https://www.oru.se/english/research/research-environments/ent/AASS/
*** https://www.oru.se/english/research/research-environments/ent/mtm/research-teams/enforce/
**** https://www.oru.se/english/schools/medical-sciences/
✔️ @ApplyTime
The University of Örebro* seeks to appoint a full-time senior researcher with established expertise in AI and Machine Learning.
Job description: This is a unique academic position. The appointed candidate should hold a PhD or be near to completion. She or he will work closely together with different research groups at Örebro University who represent specific research problems and need AI/ML expertise in their projects . However, the candidate is *not* expected to acquire external funding and will *not* have to teach. Instead, she will act as AI/ML expert and interface to the technical infrastructure. The position thus leaves room to keep in touch with current AI/ML developments and admits improvement of specialist skills. While the candidate will be of course included in all publications that result from the collaboration with other researchers at Örebro University, it is optional to pro-actively drive research or to develop an own research portfolio beyond her core expertise.
Research environment: The position is jointly offered by three research environments at Örebro University: AASS**, MTM/EnForce***, and MV****. AASS is one of the nationally leading research groups in robotics, AI and applied Machine Learning. MTM/EnForce also has a nationally strong position in environmental chemistry and toxicology. The School of Medical Sciences (MV) hosts several strong research environments (NGBI, iRiSC, CVRC) which, together with the associated Functional Bioinformatics group, conduct research in applying and further developing machine learning approaches for pattern discovery in bio-medicine (biosignatures for diagnosis, prediction and prognosis) as well as for systems for biological applications (network biology and network medicine).
Prerequisites: We are looking for candidates who hold a PhD (or are near to completion) who are excited about applying AI/Machine Learning techniques and keen to have a strong, positive impact on the society. We envisage successful candidates have a strong background in AI/Machine Learning, demonstrated by their previous research work.
More information can be found in the full call linked below.
Full call: https://goo.gl/6jRfGj
MRO Lab: http://www.mrolab.eu
AASS: http://www.aass.oru.se
Örebro University: http://www.oru.se
Contact Person: Prof. Achim J. Lilienthal (achim.lilienthal@oru.se), Prof. Dirk Repsilber (dirk.repsilber@oru.se), or Prof. Magnus Engwall (magnus.engwall@oru.se)
Contact Person, Web Page: http://www.mrolab.eu/people/achim-lilienthal/
* http://www.oru.se/
** https://www.oru.se/english/research/research-environments/ent/AASS/
*** https://www.oru.se/english/research/research-environments/ent/mtm/research-teams/enforce/
**** https://www.oru.se/english/schools/medical-sciences/
✔️ @ApplyTime
Postdoctoral, Engineer and Research Prof. track positions in signal processing and machine learning in healthcare
Multiple postdoc and/or engineering positions are available, starting immediately and continuing over the next six months.
The successful candidates will apply machine learning to temporal data captured in a clinical or ambulatory setting to solve some of the most pressing problems in healthcare including Alzheimer's disease, critical care, mental health, and global health.
Aside from strong machine learning skills, other helpful experience could include: mHealth systems, signal processing, experience with wearables, unwearables, machine learning, cloud computing and edge computing applied to disease and health. Programming in Python, Java, Swift and/or Matlab would be useful. Familiarity with Google Cloud, AWS or Azure also useful.
I'm looking for talented candidates at any (postdoc) stage of career, including assistant professor level (research track or tenure track). Positions are for multiple years and are likely to lead to strong industrial or academic tracks. Previous students and postdocs have graduated to postdoc/faculty positions at MIT, Oxford, Technion, Google, and multiple start-ups / SMEs.
The research group you will be joining is focused on signal processing and machine learning applied to large physiological data streams comprising 10 PhD students, 3 postdocs, 5 professional engineers and one research professor. We have a start-up atmosphere, in newly renovated spaces (on all three campuses) with access to large volumes of clinical data to work on cutting edge applications. We collaborate with some of the world's top tech giants and best clinicians. For example:
https://youtu.be/L1VVanSXZV4?t=2650
The position will be based on three campuses in Atlanta, GA USA: Emory central, Emory Executive Park, and the new high performance 'Big Data/ML' Coda Building at Georgia Institute of Techology, reflecting the highly interdisciplinary nature of the research. For more information on the tech (and film) industry boom in Atlanta, see the following articles:
https://www.americaninno.com/atlanta/from-the-community-atlanta/why-atlanta-is-the-next-great-tech-hub/
https://www.bizjournals.com/atlanta/news/2017/03/28/forbes-atlanta-no-3-u-s-city-poised-to-become.html
http://digsouth.com/2017/06/13/how-atlanta-became-a-startup-boomtown/
Separate tenure track positions are also available:
https://faculty-emory.icims.com/jobs/15754/assistant-professor--tt----signal--processing-%26-machine-learning/job?mobile=false&width=1150&height=500&bga=true&needsRedirect=false&jan1offset=-300&jun1offset=-240
Email me on gari AT gatech.edu and cc bmi-admin AT emory.edu with questions and CV + career aspirations + current situation (e.g. when you graduate, finish current job etc) and to set up a time to chat and find out more.
✔️ @ApplyTime
Multiple postdoc and/or engineering positions are available, starting immediately and continuing over the next six months.
The successful candidates will apply machine learning to temporal data captured in a clinical or ambulatory setting to solve some of the most pressing problems in healthcare including Alzheimer's disease, critical care, mental health, and global health.
Aside from strong machine learning skills, other helpful experience could include: mHealth systems, signal processing, experience with wearables, unwearables, machine learning, cloud computing and edge computing applied to disease and health. Programming in Python, Java, Swift and/or Matlab would be useful. Familiarity with Google Cloud, AWS or Azure also useful.
I'm looking for talented candidates at any (postdoc) stage of career, including assistant professor level (research track or tenure track). Positions are for multiple years and are likely to lead to strong industrial or academic tracks. Previous students and postdocs have graduated to postdoc/faculty positions at MIT, Oxford, Technion, Google, and multiple start-ups / SMEs.
The research group you will be joining is focused on signal processing and machine learning applied to large physiological data streams comprising 10 PhD students, 3 postdocs, 5 professional engineers and one research professor. We have a start-up atmosphere, in newly renovated spaces (on all three campuses) with access to large volumes of clinical data to work on cutting edge applications. We collaborate with some of the world's top tech giants and best clinicians. For example:
https://youtu.be/L1VVanSXZV4?t=2650
The position will be based on three campuses in Atlanta, GA USA: Emory central, Emory Executive Park, and the new high performance 'Big Data/ML' Coda Building at Georgia Institute of Techology, reflecting the highly interdisciplinary nature of the research. For more information on the tech (and film) industry boom in Atlanta, see the following articles:
https://www.americaninno.com/atlanta/from-the-community-atlanta/why-atlanta-is-the-next-great-tech-hub/
https://www.bizjournals.com/atlanta/news/2017/03/28/forbes-atlanta-no-3-u-s-city-poised-to-become.html
http://digsouth.com/2017/06/13/how-atlanta-became-a-startup-boomtown/
Separate tenure track positions are also available:
https://faculty-emory.icims.com/jobs/15754/assistant-professor--tt----signal--processing-%26-machine-learning/job?mobile=false&width=1150&height=500&bga=true&needsRedirect=false&jan1offset=-300&jun1offset=-240
Email me on gari AT gatech.edu and cc bmi-admin AT emory.edu with questions and CV + career aspirations + current situation (e.g. when you graduate, finish current job etc) and to set up a time to chat and find out more.
✔️ @ApplyTime
Postdoc Position in Computational Social Science - NUS
National University of Singapore (NUS) invites applications for a Research Fellow in computational social science. We are looking for an outstanding scientist to provide creative solutions that close the gap between consumer behaviour and engineering. This research focuses on data analysis for electric power grids. The goal is to develop new regulatory policies that improve the resilience of networks in a liberalized electricity market environment. The Fellow will work with researchers and Ph.D. students from various background, including electrical engineering, applied physics, and computer science.
This position can start immediately. The appointment will be 18 months and can be extended up to 36 months. Please email your resume, and one relevant published article to jpeng @ nus.edu.sg
✔️ @ApplyTime
National University of Singapore (NUS) invites applications for a Research Fellow in computational social science. We are looking for an outstanding scientist to provide creative solutions that close the gap between consumer behaviour and engineering. This research focuses on data analysis for electric power grids. The goal is to develop new regulatory policies that improve the resilience of networks in a liberalized electricity market environment. The Fellow will work with researchers and Ph.D. students from various background, including electrical engineering, applied physics, and computer science.
This position can start immediately. The appointment will be 18 months and can be extended up to 36 months. Please email your resume, and one relevant published article to jpeng @ nus.edu.sg
✔️ @ApplyTime
PhD Scholarship Position in Odontological Science Restorative Treatment or Extraction of First Permanent Molars with Severe Molar Incisor Hypomineralization
Job assignments
General information about third-cycle studies: The PhD education in Odontological Science corresponds to studies of 240 credits in total. The studies are equivalent to four year full-time and lead to a Degree of Doctor. The studies comprise carrying out a scientific project and completing at least 30 credits of courses at third-cycle level. The doctoral student must also write a scientific compilation thesis or monograph corresponding to at least 120 credits. For more information about third-cycle studies at Sahlgrenska Academy, see https://medarbetarportalen.gu.se/sahlgrenskaakademin/forskarutbildning/?languageId=100001&skipSSOCheck=true
Project: The first permanent molar often exhibits regions with hypomineralized enamel when erupted. One or more of the teeth may be affected. The condition is called Molar-Incisor Hypomineralization (MIH) [Weerheijm et al. 2001] and is common in child populations (2.4 - 40.2%) [Jälevik 2010]. Clinically, the porous, hypomineralized areas appear as white-yellow to brownish demarcated opaque spots. In these areas, the enamel is insufficiently mineralized to varying degrees and can break apart [Jälevik & Norén 2000]. The affected teeth create problems for the child as well as for the dentist. The teeth can be very painful, e.g., when brushing teeth, ingesting cold drinks or ice cream. The teeth with severely damaged enamel are in need of repair shortly after eruption due to disintegrated enamel and subsequent caries [Leppäniemi et al 2006, Jälevik & Klingberg 2002, Espelid et al. 2009]. As a consequence of repeated painful treatments, the children show more treatment problems and dental fear and anxiety [Jälevik & Klingberg 2002]. In cases of widespread disintegration, disturbing hypersensitivity and/or increasing dental fear and anxiety, extraction may be a treatment option.
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Job assignments
General information about third-cycle studies: The PhD education in Odontological Science corresponds to studies of 240 credits in total. The studies are equivalent to four year full-time and lead to a Degree of Doctor. The studies comprise carrying out a scientific project and completing at least 30 credits of courses at third-cycle level. The doctoral student must also write a scientific compilation thesis or monograph corresponding to at least 120 credits. For more information about third-cycle studies at Sahlgrenska Academy, see https://medarbetarportalen.gu.se/sahlgrenskaakademin/forskarutbildning/?languageId=100001&skipSSOCheck=true
Project: The first permanent molar often exhibits regions with hypomineralized enamel when erupted. One or more of the teeth may be affected. The condition is called Molar-Incisor Hypomineralization (MIH) [Weerheijm et al. 2001] and is common in child populations (2.4 - 40.2%) [Jälevik 2010]. Clinically, the porous, hypomineralized areas appear as white-yellow to brownish demarcated opaque spots. In these areas, the enamel is insufficiently mineralized to varying degrees and can break apart [Jälevik & Norén 2000]. The affected teeth create problems for the child as well as for the dentist. The teeth can be very painful, e.g., when brushing teeth, ingesting cold drinks or ice cream. The teeth with severely damaged enamel are in need of repair shortly after eruption due to disintegrated enamel and subsequent caries [Leppäniemi et al 2006, Jälevik & Klingberg 2002, Espelid et al. 2009]. As a consequence of repeated painful treatments, the children show more treatment problems and dental fear and anxiety [Jälevik & Klingberg 2002]. In cases of widespread disintegration, disturbing hypersensitivity and/or increasing dental fear and anxiety, extraction may be a treatment option.
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PhD position Implementing smart energy grids in Europe and beyond (V39.3625)
Within this EU project, your focus will be on four inter-connected topics:
You will contribute to ongoing research on Responsible Innovation, focusing on issues that occur in the practical implementation of innovations in the private sector.
You will analyze the role of local energy communities in the transition towards new (smart) energy systems; including questions of engagement and co-creation.
You will critically evaluate the socio-technical aspects that emerge with the development and implementation of MUSE grids/technologies; including the development of indicators for measuring these aspects.
You will explore and identify finance and business models/approaches relevant to Responsible Innovations.
Partners of the MUSE Grids project will demonstrate and research the functioning of the technologies in two demo-sites, one situated in Belgium, the other in Italy. In order to facilitate comparison and learning, the MUSE Grids project also foresees the implementation of selected technologies in a non-European context, namely India. Your work will thus go beyond a purely European focus and will explore local energy communities and emerging socio-technical aspects of MUSE grids in Europe and in India. With your work you will contribute to a growing body of work on responsible innovation in the private sector context.
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Within this EU project, your focus will be on four inter-connected topics:
You will contribute to ongoing research on Responsible Innovation, focusing on issues that occur in the practical implementation of innovations in the private sector.
You will analyze the role of local energy communities in the transition towards new (smart) energy systems; including questions of engagement and co-creation.
You will critically evaluate the socio-technical aspects that emerge with the development and implementation of MUSE grids/technologies; including the development of indicators for measuring these aspects.
You will explore and identify finance and business models/approaches relevant to Responsible Innovations.
Partners of the MUSE Grids project will demonstrate and research the functioning of the technologies in two demo-sites, one situated in Belgium, the other in Italy. In order to facilitate comparison and learning, the MUSE Grids project also foresees the implementation of selected technologies in a non-European context, namely India. Your work will thus go beyond a purely European focus and will explore local energy communities and emerging socio-technical aspects of MUSE grids in Europe and in India. With your work you will contribute to a growing body of work on responsible innovation in the private sector context.
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PhD position: Impact of energy transition on voltage quality (V36.3623)
Voltage quality in each network is influenced by several aspects, including the load and generation mixtures and operating profiles as well as the network structure. In the recent years, and years to come, power systems are undergoing an “energy transition” – with the increase of renewable generation as one of the most significant aspects. Renewable generation is very often inverter-interfaced (with the exception of hydro generators), and behaves differently in comparison with conventional (directly coupled synchronous) generators.
The main question of this PhD project is: what is the expected influence of the reduction of conventional generation on the quality of voltage supply in the Netherlands? This question can further be divided into sub-questions:
Frequency and propagation of voltage dips,
Slow voltage variations, rapid voltage changes, flicker, waveform distortion and unbalance,
Influence of network contingencies (e.g. N-2), methodology for calculating the short-circuit levels,
Influence of fault-ride through characteristics of inverter-interfaced generators
Mitigation methods for possible problems
Considerations for adapting existing regulation (connection requirements, device requirements etc.).
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Voltage quality in each network is influenced by several aspects, including the load and generation mixtures and operating profiles as well as the network structure. In the recent years, and years to come, power systems are undergoing an “energy transition” – with the increase of renewable generation as one of the most significant aspects. Renewable generation is very often inverter-interfaced (with the exception of hydro generators), and behaves differently in comparison with conventional (directly coupled synchronous) generators.
The main question of this PhD project is: what is the expected influence of the reduction of conventional generation on the quality of voltage supply in the Netherlands? This question can further be divided into sub-questions:
Frequency and propagation of voltage dips,
Slow voltage variations, rapid voltage changes, flicker, waveform distortion and unbalance,
Influence of network contingencies (e.g. N-2), methodology for calculating the short-circuit levels,
Influence of fault-ride through characteristics of inverter-interfaced generators
Mitigation methods for possible problems
Considerations for adapting existing regulation (connection requirements, device requirements etc.).
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✔️ @ApplyTime
PhD or MPhil - High temperature thermodynamics & phase equilibria for metallurgical, recycling & advanced materials industries
The School of Chemical Engineering is an international leader in the chemical engineering field and has an excellent reputation, built over many decades at The University of Queensland. We deliver quality programs and leadership in chemical engineering education, research and development, and expert consulting to support the process industries. Undergraduate teaching within the School focuses on the disciplines of chemical, biological, environmental and metallurgical engineering and postgraduate programs are available in growing fields including water, sustainable energy and petroleum engineering. For more Information about the Centre, please visit: www.uq.edu.au/chemeng
The Pyrometallurgy Innovation Centre at The University of Queensland has an outstanding international reputation for the high quality of research output. The Centre undertakes fundamental and applied research, funded through competitive Government grants and by world-wide consortia of leading international metallurgical, recycling and advanced materials (including Li batteris) industrial companies. We are seeking enthusiastic candidates interested in cutting edge fundamental as well as applied research in the field of high temperature process metallurgy, metal extraction, recycling and advanced materials manufacturing. The research involves advanced experimental studies integrated with thermodynamic modelling. The research outcomes are essential for modern knowledge-based circular economy including recovery of valuable metals, recycling of electronics and batteries, reduction of energy consumption, CO2 emissions and overall environmental footprint of developed society.
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The School of Chemical Engineering is an international leader in the chemical engineering field and has an excellent reputation, built over many decades at The University of Queensland. We deliver quality programs and leadership in chemical engineering education, research and development, and expert consulting to support the process industries. Undergraduate teaching within the School focuses on the disciplines of chemical, biological, environmental and metallurgical engineering and postgraduate programs are available in growing fields including water, sustainable energy and petroleum engineering. For more Information about the Centre, please visit: www.uq.edu.au/chemeng
The Pyrometallurgy Innovation Centre at The University of Queensland has an outstanding international reputation for the high quality of research output. The Centre undertakes fundamental and applied research, funded through competitive Government grants and by world-wide consortia of leading international metallurgical, recycling and advanced materials (including Li batteris) industrial companies. We are seeking enthusiastic candidates interested in cutting edge fundamental as well as applied research in the field of high temperature process metallurgy, metal extraction, recycling and advanced materials manufacturing. The research involves advanced experimental studies integrated with thermodynamic modelling. The research outcomes are essential for modern knowledge-based circular economy including recovery of valuable metals, recycling of electronics and batteries, reduction of energy consumption, CO2 emissions and overall environmental footprint of developed society.
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Biozentrum PhD Fellowships Program
The Biozentrum encourages talented, ambitious and highly motivated young scientists from all over the world to apply for the prestigious and sought after fellowships offered by the Biozentrum Basel International PhD Program. In contrast to many other PhD student programs that aim at a broad recruitment of many candidates, the “Biozentrum PhD Fellowships” are awarded on a competitive basis to a maximum of 10 successful candidates per open call. Recipients are offered a unique rotation-based selection of a research group of choice and a number of other incentives that foster the scientific excellence and the career prospects of these PhD candidates.
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The Biozentrum encourages talented, ambitious and highly motivated young scientists from all over the world to apply for the prestigious and sought after fellowships offered by the Biozentrum Basel International PhD Program. In contrast to many other PhD student programs that aim at a broad recruitment of many candidates, the “Biozentrum PhD Fellowships” are awarded on a competitive basis to a maximum of 10 successful candidates per open call. Recipients are offered a unique rotation-based selection of a research group of choice and a number of other incentives that foster the scientific excellence and the career prospects of these PhD candidates.
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Postdoc position - Design and control methods for adaptive structures, EPFL
Swiss Federal Institute of Technology (EPFL) | School of Architecture, Civil and Environmental Engineering (ENAC) | Applied Computing and Mechanics Laboratory (IMAC) | Station 18, CH-1015 Lausanne, Switzerland
The Applied Computing and Mechanics Laboratory (IMAC) invites applications for a Postdoc position in the field of design and control methods for adaptive structures.
Background Adaptive structures are equipped with sensors and actuators in order to counteract actively the effect of external actions. Structural adaptation is employed to redistribute the internal flow of forces through controlled shape changes so that the design is not governed by peak loads that occur very rarely. For this reason, adaptation enables a structure to operate closer to design limits in service. Previous work has shown that state-of-the-art adaptive design strategies [1, 2] can be employed to significantly reduce the energetic and material impact of structures, while improving structural performance, such as increasing the slenderness of tall buildings, spans of bridges and reducing the depth of roof systems [3, 4]. In addition, adaptation enables structures to improve their performance under loading through reusing experience (learning) [5, 6], performing diagnosis following damage and through adapting in the damaged state [7, 8]. For further information see www.gennarosenatore.com and IMAC.
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Swiss Federal Institute of Technology (EPFL) | School of Architecture, Civil and Environmental Engineering (ENAC) | Applied Computing and Mechanics Laboratory (IMAC) | Station 18, CH-1015 Lausanne, Switzerland
The Applied Computing and Mechanics Laboratory (IMAC) invites applications for a Postdoc position in the field of design and control methods for adaptive structures.
Background Adaptive structures are equipped with sensors and actuators in order to counteract actively the effect of external actions. Structural adaptation is employed to redistribute the internal flow of forces through controlled shape changes so that the design is not governed by peak loads that occur very rarely. For this reason, adaptation enables a structure to operate closer to design limits in service. Previous work has shown that state-of-the-art adaptive design strategies [1, 2] can be employed to significantly reduce the energetic and material impact of structures, while improving structural performance, such as increasing the slenderness of tall buildings, spans of bridges and reducing the depth of roof systems [3, 4]. In addition, adaptation enables structures to improve their performance under loading through reusing experience (learning) [5, 6], performing diagnosis following damage and through adapting in the damaged state [7, 8]. For further information see www.gennarosenatore.com and IMAC.
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Postdoc/ Fellowship Position in Law & Tech, ETHZ
The postdoc will have the opportunity to develop a course containing 14 distinct lectures in Spring 2020 that explore and showcase the legal implications of cutting-edge developments in engineering and the sciences. In the process, the postdoc/ fellow will forge ties with research groups, sit in lab meetings at different departments at ETH and explore the possibility of common research projects. The course will be a co-taught course, in which the postdoc/ fellow would have significant input and would also do some lecturing. Our offices are located in downtown Zurich, and the working language is English. The appointment will be for at least one year and up to three years (contingent on satisfactory performance) with a flexible starting date. Part-time appointments are also possible in order to accommodate the needs of highly competitive candidates. Salaries are internationally competitive, paid according to ETH standards .
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The postdoc will have the opportunity to develop a course containing 14 distinct lectures in Spring 2020 that explore and showcase the legal implications of cutting-edge developments in engineering and the sciences. In the process, the postdoc/ fellow will forge ties with research groups, sit in lab meetings at different departments at ETH and explore the possibility of common research projects. The course will be a co-taught course, in which the postdoc/ fellow would have significant input and would also do some lecturing. Our offices are located in downtown Zurich, and the working language is English. The appointment will be for at least one year and up to three years (contingent on satisfactory performance) with a flexible starting date. Part-time appointments are also possible in order to accommodate the needs of highly competitive candidates. Salaries are internationally competitive, paid according to ETH standards .
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laweconbusiness.ethz.ch
Postdoc / Fellowship Position in Law & Tech
Dear all,
To be a member of this channel you are not obliged to share these positions with others. But, to keep the channel alive, we need to grow. So, if you would like to receive new positions to make your future, let's try to grow together.
We would really appreciate if you could share those positions that you yourself do not want to apply for.
Best regards,
Your @ApplyTime Team
To be a member of this channel you are not obliged to share these positions with others. But, to keep the channel alive, we need to grow. So, if you would like to receive new positions to make your future, let's try to grow together.
We would really appreciate if you could share those positions that you yourself do not want to apply for.
Best regards,
Your @ApplyTime Team