PhD scholarships at the Department of Economics, University of Copenhagen
Applications are invited for PhD scholarships at the Department of Economics, UCPH. The chosen candidates will enrol at the Faculty of Social Sciences under Copenhagen Graduate School of Social Sciences. Employment is to begin on 1 February 2019.
Deadline for applications: 1 November 2018.
The PhD programme provides PhD students with strong research training which opens up a window of opportunity to research careers, and a variety of careers within the private and public sectors. The programme includes the drafting of a PhD thesis, active participation in research networks, PhD courses, teaching, and other forms of knowledge dissemination. The PhD programme can be undertaken as a three year full-time study within the framework of the 5+3 study programme, or as a four year full-time study programme within the framework of the 4+4 study programme.
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Applications are invited for PhD scholarships at the Department of Economics, UCPH. The chosen candidates will enrol at the Faculty of Social Sciences under Copenhagen Graduate School of Social Sciences. Employment is to begin on 1 February 2019.
Deadline for applications: 1 November 2018.
The PhD programme provides PhD students with strong research training which opens up a window of opportunity to research careers, and a variety of careers within the private and public sectors. The programme includes the drafting of a PhD thesis, active participation in research networks, PhD courses, teaching, and other forms of knowledge dissemination. The PhD programme can be undertaken as a three year full-time study within the framework of the 5+3 study programme, or as a four year full-time study programme within the framework of the 4+4 study programme.
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PhD scholarship in Methane Production and Carbon Capture through Hydrate Swapping
DTU Chemical Engineering invites applications for a 3-year PhD position in Methane production and carbon capture through hydrate swapping.
This project considers the problem of using carbon dioxide to produce the vast resources of natural gas locked up as solid gas hydrates in permafrost and oceanic margin zones. The natural gas hydrates are converted to CO2 hydrates, thereby storing CO2 (the major greenhouse gas) while simultaneously releasing natural gas. This so-called “swapping” process, whereby methane (the major component in natural gas) in the hydrate is replaced by CO2, allows for production of natural gas from hydrate without adversely affecting the stability of the solid hydrate.
Responsibilities and tasks
The project will involve thermodynamic and kinetic modeling of gas hydrate systems and processes as well as molecular simulation, for example to probe the formation of CO2 hydrate and dissociation of CH4 hydrate in a production/storage scenario.
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DTU Chemical Engineering invites applications for a 3-year PhD position in Methane production and carbon capture through hydrate swapping.
This project considers the problem of using carbon dioxide to produce the vast resources of natural gas locked up as solid gas hydrates in permafrost and oceanic margin zones. The natural gas hydrates are converted to CO2 hydrates, thereby storing CO2 (the major greenhouse gas) while simultaneously releasing natural gas. This so-called “swapping” process, whereby methane (the major component in natural gas) in the hydrate is replaced by CO2, allows for production of natural gas from hydrate without adversely affecting the stability of the solid hydrate.
Responsibilities and tasks
The project will involve thermodynamic and kinetic modeling of gas hydrate systems and processes as well as molecular simulation, for example to probe the formation of CO2 hydrate and dissociation of CH4 hydrate in a production/storage scenario.
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Post-doctoral position available within the NanoBeam Group of the Max Planck Institute for Solid State Research, Stuttgart, Germany.
NanoBeam is an independent group headed by Dr. Nahid Talebi, funded by the European Research Council and the Max Planck Society. We seek researchers with an outstanding background in physics, physical chemistry, or electrical engineering, to help the PI to control the interaction of electron beams and light with functional materials. The ambition of the NanoBeam group is to develop a novel spectral interferometry technique with electron beams to characterize and control the mechanisms of charge and energy transfer in functional materials.
Eligibility
Applications are invited from highly qualified scientists with a proven track record. Applicants must hold a PhD degree in physics or related fields and have experience in working with scanning electron microscopes. Previous experience with in-situ experimental setups and a cathodoluminescence system is highly beneficial.
Job description
The experimental work involves design and realization of a nanorobotic system for the purpose of loading and positioning an electron-driven photon source and performing experiments using the developed system, in collaboration with other members of the group.
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NanoBeam is an independent group headed by Dr. Nahid Talebi, funded by the European Research Council and the Max Planck Society. We seek researchers with an outstanding background in physics, physical chemistry, or electrical engineering, to help the PI to control the interaction of electron beams and light with functional materials. The ambition of the NanoBeam group is to develop a novel spectral interferometry technique with electron beams to characterize and control the mechanisms of charge and energy transfer in functional materials.
Eligibility
Applications are invited from highly qualified scientists with a proven track record. Applicants must hold a PhD degree in physics or related fields and have experience in working with scanning electron microscopes. Previous experience with in-situ experimental setups and a cathodoluminescence system is highly beneficial.
Job description
The experimental work involves design and realization of a nanorobotic system for the purpose of loading and positioning an electron-driven photon source and performing experiments using the developed system, in collaboration with other members of the group.
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Post Doc Research Scientist in Material Science & Eng Dept, Boise State University
Position Overview:
The Nucleic Acid Memory Institute, within the Micron School of Materials Science and Engineering (MSMSE) at Boise State University, is seeking multiple postdoctoral research scientists with strong experimental, analytical, and/or computational skills in the area of DNA nanotechnology. The postdoctoral research scientists will be integral members of a multidisciplinary research team dedicated to becoming global leaders in the research, development, and education of nucleic acid memory (NAM).
Our vision is to pioneer a digital data storage paradigm by designing, building, and testing accessible, editable, and non-volatile NAM technologies that are inspired by DNA circuits and made possible by our innovations in DNA nanotechnology, optical physics, as well as the materials, biological, and computational sciences. This nationally competitive funded research (NSF Award ECCS-1807809), will focus on designing, synthesizing, and characterizing functional DNA nanostructures for applications in nucleic acid memory. The nanostructures will form the foundation for two NAM storage prototypes: digital NAM (dNAM) and sequence NAM (seqNAM).
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Position Overview:
The Nucleic Acid Memory Institute, within the Micron School of Materials Science and Engineering (MSMSE) at Boise State University, is seeking multiple postdoctoral research scientists with strong experimental, analytical, and/or computational skills in the area of DNA nanotechnology. The postdoctoral research scientists will be integral members of a multidisciplinary research team dedicated to becoming global leaders in the research, development, and education of nucleic acid memory (NAM).
Our vision is to pioneer a digital data storage paradigm by designing, building, and testing accessible, editable, and non-volatile NAM technologies that are inspired by DNA circuits and made possible by our innovations in DNA nanotechnology, optical physics, as well as the materials, biological, and computational sciences. This nationally competitive funded research (NSF Award ECCS-1807809), will focus on designing, synthesizing, and characterizing functional DNA nanostructures for applications in nucleic acid memory. The nanostructures will form the foundation for two NAM storage prototypes: digital NAM (dNAM) and sequence NAM (seqNAM).
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Doctoral or postdoctoral researcher position: Modelling global economic and environmental
effects of policies and technological innovation in the Bioeconomy, University of Bonn
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effects of policies and technological innovation in the Bioeconomy, University of Bonn
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Postdoc Scholar - Department Surgery UH
We are a highly translational lab led by the Chief of Surgical Oncology, with NCI funding in place for the next 7 years. Pancreatic cancer is the most aggressive of the common cancers, with the worst survival and is expected to be the second leading cause of cancer death in the next decade. We are focused on helping to solve this problem, and eager to identify a post-doc with the same aspiration. Importantly, the post-doc must work well with others, and have a desire to help cancer patients as a principal motivation for their work. The post-doc position is a key one within the lab. The post-doc will work closely with the PI to lead these efforts, and will be responsible for planning and execution of experiments. The lab works closely with other PI's at the Case Comprehensive Cancer Center, as well as clinical departments at University Hospitals, including collaborations with a multidisciplinary team of biologists, statisticians, and clinicians. The qualified candidate will prepare manuscripts and contribute preliminary data, background and significance and experimental design for grant proposals. The work focuses more specifically on understanding how pancreatic cancer cells adapt to survive and thrive in a harsh metabolic milieu, and additionally how metabolic reprogramming confers resistance to both conventional chemotherapy and novel immunotherapies. Additional projects in the lab include the development of novel drug discovery platforms, and studying molecular mechanisms that underlie pancreatic cancer-associated depression. Lab work will involve tissue culture; DNA, RNA, and protein-related assays; drug-sensitivity assays, and small animal work. Additionally, studies will interface with experts in pathology, biostatistics, medicinal chemistry and other specialties. The candidate should be able to work independently, read and critically interpret the literature, assist with designing and planning of projects, oversee collaborations, supervise students, manage animal models, and to carry out research on the assigned project. They will also be encouraged to apply for grants to gain experience and support future projects.
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We are a highly translational lab led by the Chief of Surgical Oncology, with NCI funding in place for the next 7 years. Pancreatic cancer is the most aggressive of the common cancers, with the worst survival and is expected to be the second leading cause of cancer death in the next decade. We are focused on helping to solve this problem, and eager to identify a post-doc with the same aspiration. Importantly, the post-doc must work well with others, and have a desire to help cancer patients as a principal motivation for their work. The post-doc position is a key one within the lab. The post-doc will work closely with the PI to lead these efforts, and will be responsible for planning and execution of experiments. The lab works closely with other PI's at the Case Comprehensive Cancer Center, as well as clinical departments at University Hospitals, including collaborations with a multidisciplinary team of biologists, statisticians, and clinicians. The qualified candidate will prepare manuscripts and contribute preliminary data, background and significance and experimental design for grant proposals. The work focuses more specifically on understanding how pancreatic cancer cells adapt to survive and thrive in a harsh metabolic milieu, and additionally how metabolic reprogramming confers resistance to both conventional chemotherapy and novel immunotherapies. Additional projects in the lab include the development of novel drug discovery platforms, and studying molecular mechanisms that underlie pancreatic cancer-associated depression. Lab work will involve tissue culture; DNA, RNA, and protein-related assays; drug-sensitivity assays, and small animal work. Additionally, studies will interface with experts in pathology, biostatistics, medicinal chemistry and other specialties. The candidate should be able to work independently, read and critically interpret the literature, assist with designing and planning of projects, oversee collaborations, supervise students, manage animal models, and to carry out research on the assigned project. They will also be encouraged to apply for grants to gain experience and support future projects.
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Academic Careers | Case Western Reserve University
Postdoc Scholar - Department Surgery UH | Academic Careers | Case Western Reserve University
, , , , , POSITION OBJECTIVE We are a highly translational lab led by the Chief of Surgical Oncology, with NCI funding in place for the next 7 years....
PhD in machine learning and computer vision at ETS Montreal
*Efficient Deep Learning for Training and Inference**
Applications are invited for a funded PhD position in computer vision and machine learning at ETS
Montreal, Canada. The candidate will work under the supervision of Prof. Marco Pedersoli at ETS
Montreal and Prof. Hakan Bilen at University of Edinburgh. The position is available immediately after the
candidate passes ETS application requirements. Financial support is available for the project’s duration
(maximum of 3-4 years).
We are looking for highly motivated doctoral students, who are interested in performing cutting-edge
research in computationally efficient deep learning models, with a particular focus on problems regarding
networks training and optimization, compression and fast inference.
Prospective applicants should have:
● Strong academic record with an excellent M.Sc. degree in computer science, applied mathematics,
or electrical engineering, preferably with expertise in one or more of the following areas: machine
learning, deep learning, computer vision;
● A good mathematical background;
● Very good programming skills in languages such as Python, C, C++ and deep learning libraries
such as TensorFlow or Pytorch
A prior publication in one of the major conferences or journals in computer vision/machine learning is not
necessary but would be a very desirable.
Application process: For consideration, please send by October 15th a resume, names and contact details
of two references, transcripts for undergraduate and graduate studies, and a link to a Master thesis (as well
as relevant publications if any) with a title [Prospective PhD student] to
Marco Pedersoli (Marco.Pedersoli@etsmtl.ca) and Hakan Bilen (hbilen@ed.ac.uk)
✔️ @ApplyTime
*Efficient Deep Learning for Training and Inference**
Applications are invited for a funded PhD position in computer vision and machine learning at ETS
Montreal, Canada. The candidate will work under the supervision of Prof. Marco Pedersoli at ETS
Montreal and Prof. Hakan Bilen at University of Edinburgh. The position is available immediately after the
candidate passes ETS application requirements. Financial support is available for the project’s duration
(maximum of 3-4 years).
We are looking for highly motivated doctoral students, who are interested in performing cutting-edge
research in computationally efficient deep learning models, with a particular focus on problems regarding
networks training and optimization, compression and fast inference.
Prospective applicants should have:
● Strong academic record with an excellent M.Sc. degree in computer science, applied mathematics,
or electrical engineering, preferably with expertise in one or more of the following areas: machine
learning, deep learning, computer vision;
● A good mathematical background;
● Very good programming skills in languages such as Python, C, C++ and deep learning libraries
such as TensorFlow or Pytorch
A prior publication in one of the major conferences or journals in computer vision/machine learning is not
necessary but would be a very desirable.
Application process: For consideration, please send by October 15th a resume, names and contact details
of two references, transcripts for undergraduate and graduate studies, and a link to a Master thesis (as well
as relevant publications if any) with a title [Prospective PhD student] to
Marco Pedersoli (Marco.Pedersoli@etsmtl.ca) and Hakan Bilen (hbilen@ed.ac.uk)
✔️ @ApplyTime
Dear all,
We are offering two CSIRO top-up scholarships within LASC team/Data61 (https://research.csiro.au/lasc/) in two projects as listed below. For eligibility and more information on how to apply please refer to this page:
https://jobs.csiro.au/job/Various-CSIRO-Postgraduate-Scholarships-Data61/496689700/
* Project 1: Text-mining for Clinical Decision Support
Natural language processing and information retrieval techniques have long been explored in real-world applications such as healthcare. However, there are still many problems within the healthcare that are in need of text processing techniques to advance their current state. Clinical decision support for cancer patient is one of these applications. This project intends to extend on the recent tasks proposed by TREC Clinical Decision Support and TREC Precision Medicine (http://www.trec-cds.org/) to develop text search and processing techniques that extracts relevant information given a patients condition and history to the medical practitioners. This project will focus on extracting relevant to a patient given information such a clinical notes, disease or demographics background from the literature and clinical trials. The candidate will work on information extraction techniques, as well as search and information retrieval algorithms.
Students applying for this scholarship should have a background in computer science/engineering. Should be interested in one or more of the following:
1- Natural language processing especially information extraction or text summarisation,
2- Machine learning techniques, such as support vector machines, or neural networks
3- Search and Information retrieval techniques, such as different ranking models
The student is expected to have Python programming skills. Familiarity with Scikit-learn, PyTorch or Tensorflow and experience in running code in clusters is a plus.
Contact: Dr Sarvnaz Karimi (firstname.lastname@csiro.au)
* Project 2: Figurative Language Detection and interpretation for Public Health
Figurative language (such as metaphors or sarcasm) has proven to be challenging for natural language processing tasks such as sentiment analysis. Therefore, approaches that understand (detect/interpret) figurative language have been reported in the past. In the context of public health monitoring, figurative language detection and interpretation assumes importance because figurative language may reflect emotional states arising due to a health condition. The project aims to apply advances in machine learning to improve figurative language processing and public health monitoring using textual datasets.
Contact: Dr Aditya Joshi (firstname.lastname@csiro.au)
Please feel free to forward this to potential applicants.
Kind regards,
Dr Sarvnaz Karimi
Senior Research Scientist | Language and Social Computing Team
✔️ @ApplyTime
We are offering two CSIRO top-up scholarships within LASC team/Data61 (https://research.csiro.au/lasc/) in two projects as listed below. For eligibility and more information on how to apply please refer to this page:
https://jobs.csiro.au/job/Various-CSIRO-Postgraduate-Scholarships-Data61/496689700/
* Project 1: Text-mining for Clinical Decision Support
Natural language processing and information retrieval techniques have long been explored in real-world applications such as healthcare. However, there are still many problems within the healthcare that are in need of text processing techniques to advance their current state. Clinical decision support for cancer patient is one of these applications. This project intends to extend on the recent tasks proposed by TREC Clinical Decision Support and TREC Precision Medicine (http://www.trec-cds.org/) to develop text search and processing techniques that extracts relevant information given a patients condition and history to the medical practitioners. This project will focus on extracting relevant to a patient given information such a clinical notes, disease or demographics background from the literature and clinical trials. The candidate will work on information extraction techniques, as well as search and information retrieval algorithms.
Students applying for this scholarship should have a background in computer science/engineering. Should be interested in one or more of the following:
1- Natural language processing especially information extraction or text summarisation,
2- Machine learning techniques, such as support vector machines, or neural networks
3- Search and Information retrieval techniques, such as different ranking models
The student is expected to have Python programming skills. Familiarity with Scikit-learn, PyTorch or Tensorflow and experience in running code in clusters is a plus.
Contact: Dr Sarvnaz Karimi (firstname.lastname@csiro.au)
* Project 2: Figurative Language Detection and interpretation for Public Health
Figurative language (such as metaphors or sarcasm) has proven to be challenging for natural language processing tasks such as sentiment analysis. Therefore, approaches that understand (detect/interpret) figurative language have been reported in the past. In the context of public health monitoring, figurative language detection and interpretation assumes importance because figurative language may reflect emotional states arising due to a health condition. The project aims to apply advances in machine learning to improve figurative language processing and public health monitoring using textual datasets.
Contact: Dr Aditya Joshi (firstname.lastname@csiro.au)
Please feel free to forward this to potential applicants.
Kind regards,
Dr Sarvnaz Karimi
Senior Research Scientist | Language and Social Computing Team
✔️ @ApplyTime
The Bocconi PhD School provides 4 scholarships for the PhD in Statistics and a position with tuition waiver.
* Scholarship amount *
20.280 euro per annum in the 1st and 2nd year
15.343 euro per annum in the 3rd and 4th year
Further funding is available through teaching and research assistantship.
Visit www.unibocconi.eu/admissionphd for detailed information.
Applications are due by February 1, 2019.
Within the Bocconi PhD School, the four-year PhD program in Statistics provides a solid grounding for high level research in Statistics, Probability and Data Science.
The curriculum is organized over two years of courses and two years entirely devoted to research. Students gain a deep mathematical and methodological preparation through the first-year. The second-year courses provide students with a more specialized competence and focus on topics that may be the object of the doctoral dissertation. The third and forth years are entirely devoted to research. Both theoretical and applied research, including methods for Machine Learning and Data Science, are supported and pursued. Multidisciplinary interchange with other graduate programs in Bocconi’s PhD School, as well as research experience abroad, are encouraged.
Highly qualified and motivated students with M.Sc. degrees in Statistics, Mathematics, Economics, Engineering, as well as other quantitatively-oriented fields, are encouraged to apply for admission. Applicants should hold or be on their way to hold a graduate degree or equivalent.
For more information about the PhD program in Statistics at Bocconi, visit www.unibocconi.eu/phdstatistics and feel free to contact:
Antonio Lijoi (antonio.lijoi@unibocconi.it)
✔️ @ApplyTime
* Scholarship amount *
20.280 euro per annum in the 1st and 2nd year
15.343 euro per annum in the 3rd and 4th year
Further funding is available through teaching and research assistantship.
Visit www.unibocconi.eu/admissionphd for detailed information.
Applications are due by February 1, 2019.
Within the Bocconi PhD School, the four-year PhD program in Statistics provides a solid grounding for high level research in Statistics, Probability and Data Science.
The curriculum is organized over two years of courses and two years entirely devoted to research. Students gain a deep mathematical and methodological preparation through the first-year. The second-year courses provide students with a more specialized competence and focus on topics that may be the object of the doctoral dissertation. The third and forth years are entirely devoted to research. Both theoretical and applied research, including methods for Machine Learning and Data Science, are supported and pursued. Multidisciplinary interchange with other graduate programs in Bocconi’s PhD School, as well as research experience abroad, are encouraged.
Highly qualified and motivated students with M.Sc. degrees in Statistics, Mathematics, Economics, Engineering, as well as other quantitatively-oriented fields, are encouraged to apply for admission. Applicants should hold or be on their way to hold a graduate degree or equivalent.
For more information about the PhD program in Statistics at Bocconi, visit www.unibocconi.eu/phdstatistics and feel free to contact:
Antonio Lijoi (antonio.lijoi@unibocconi.it)
✔️ @ApplyTime
CIHR Postdoctoral Fellowship - Machine Learning, Health Research, Canada
CIHR’s Health Research Training Strategy aims to equip research trainees so that they emerge from their training as scientific, professional, or organizational leaders within and beyond the health research enterprise. Generating Research Leaders of tomorrow is a key objective for CIHR.
Fellowships provide support for highly qualified applicants in all areas of health research at the post-PhD degree or post-health professional degree stages to add to their experience by engaging in health research either in Canada or abroad.
Funds Available
CIHR and partner(s) financial contributions for this initiative are subject to availability of funds. Should CIHR or partner(s) funding levels not be available or are decreased due to unforeseen circumstances, CIHR and partner(s) reserve the right to reduce, defer or suspend financial contributions to awards received as a result of this funding opportunity.
The awards consist of a stipend and a research allowance and are valued in Canadian dollars. It is anticipated that approximately $21 million over five years will be available through this competition.
The maximum amount awarded for a single award is up to $60,000 per annum for up to 5 years. The value and duration of each award is determined by the degree(s) held, licensure (where applicable), location of tenure and experience of the applicant.
Stipend
The annual stipend level for:
Trainees with a PhD degree is $40,000 per annum.
Health Professionals who hold licensure (full or educational) in Canada and have less than 2 years of research or clinical training experience is $40,000 per annum. Upon completion of two years of postgraduate research training, the awardee may be eligible to receive a stipend increase to the higher level.
Health Professionals who hold licensure (full or educational) in Canada and have two or more years of research or clinical training experience is $50,000 per annum.
Health professionals who do not hold licensure in Canada is $21,000 per annum. Upon completion of two years of postgraduate research training, the stipend may increase to $40,000 per annum.
For awards physically held outside Canada, $5,000 is added to the annual stipend.
Research allowance: $5,000 per annum.
More Info
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CIHR’s Health Research Training Strategy aims to equip research trainees so that they emerge from their training as scientific, professional, or organizational leaders within and beyond the health research enterprise. Generating Research Leaders of tomorrow is a key objective for CIHR.
Fellowships provide support for highly qualified applicants in all areas of health research at the post-PhD degree or post-health professional degree stages to add to their experience by engaging in health research either in Canada or abroad.
Funds Available
CIHR and partner(s) financial contributions for this initiative are subject to availability of funds. Should CIHR or partner(s) funding levels not be available or are decreased due to unforeseen circumstances, CIHR and partner(s) reserve the right to reduce, defer or suspend financial contributions to awards received as a result of this funding opportunity.
The awards consist of a stipend and a research allowance and are valued in Canadian dollars. It is anticipated that approximately $21 million over five years will be available through this competition.
The maximum amount awarded for a single award is up to $60,000 per annum for up to 5 years. The value and duration of each award is determined by the degree(s) held, licensure (where applicable), location of tenure and experience of the applicant.
Stipend
The annual stipend level for:
Trainees with a PhD degree is $40,000 per annum.
Health Professionals who hold licensure (full or educational) in Canada and have less than 2 years of research or clinical training experience is $40,000 per annum. Upon completion of two years of postgraduate research training, the awardee may be eligible to receive a stipend increase to the higher level.
Health Professionals who hold licensure (full or educational) in Canada and have two or more years of research or clinical training experience is $50,000 per annum.
Health professionals who do not hold licensure in Canada is $21,000 per annum. Upon completion of two years of postgraduate research training, the stipend may increase to $40,000 per annum.
For awards physically held outside Canada, $5,000 is added to the annual stipend.
Research allowance: $5,000 per annum.
More Info
✔️ @ApplyTime
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Funded 4-year Athena SWAN PhD Scholarship, Intersectional Analysis of Gender Equality in Higher Education
Institutions, Maynooth University
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Institutions, Maynooth University
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PhD position: Bottom-up engineering of synthetic cells, Germany: Max Planck Institute
At the Max Planck Institute for Medical Research, one of the 83 institutes 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.
In the Department of Cellular Biophysics we are looking for a highly motivated and enthusiastic individual to join our lab at the Max Planck Institute for Medical Research, for a PhD position. The concerted effort in our lab is directed towards developing of highly innovative and creative approaches in bottom-up synthetic biology. The successful candidate will develop novel approaches for bottom-up reconstitution of dynamic actomyosin and microtubule cytoskeletal networks within the synthetic cells.
Candidates should have a Master’s or equivalent degree in Biophysics, Biochemistry, Molecular Cell Biology, Chemistry, or related fields. An experimental background in biophysics and microfluidics is preferable. Excellent verbal and written communication skills in English are required.
The payment is based on the TVöD guidelines (“Promotionsfördervertrag”). The PhD position is limited to three years with a possibility of extension.
More Info
✔️ @ApplyTime
At the Max Planck Institute for Medical Research, one of the 83 institutes 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.
In the Department of Cellular Biophysics we are looking for a highly motivated and enthusiastic individual to join our lab at the Max Planck Institute for Medical Research, for a PhD position. The concerted effort in our lab is directed towards developing of highly innovative and creative approaches in bottom-up synthetic biology. The successful candidate will develop novel approaches for bottom-up reconstitution of dynamic actomyosin and microtubule cytoskeletal networks within the synthetic cells.
Candidates should have a Master’s or equivalent degree in Biophysics, Biochemistry, Molecular Cell Biology, Chemistry, or related fields. An experimental background in biophysics and microfluidics is preferable. Excellent verbal and written communication skills in English are required.
The payment is based on the TVöD guidelines (“Promotionsfördervertrag”). The PhD position is limited to three years with a possibility of extension.
More Info
✔️ @ApplyTime
PHD STUDENTSHIPS IN COMPUTATIONAL LINGUISTICS, SPEECH TECHNOLOGY AND COGNITIVE SCIENCE
Institute for Language, Cognition and Computation
School of Informatics
University of Edinburgh
The Institute for Language, Cognition and Computation (ILCC) at the University of Edinburgh invites applications for three-year PhD studentships starting in September 2019. ILCC is dedicated to the pursuit of basic and applied research on computational approaches to language, communication and cognition.
Primary research areas include:
* Natural language processing and computational linguistics
* Speech technology
* Dialogue, multimodal interaction, language and vision
* Information retrieval and visualization, computational social science
* Computational models of human cognition and behavior, including language and speech processing
* Human-Computer interaction, design informatics, assistive and educational technology
* Psycholinguistics, language acquisition, language evolution, language variation and change
* Linguistic foundations of language and speech processing
Approximately 15 studentships from a variety of sources are available, covering both maintenance at the research council rate of GBP 14,777 per year and tuition fees. Studentships are available for UK, EU, and non-EU nationals.
Applicants should have a good honours degree or equivalent in computer science, cognitive science, AI, or a related discipline.
For a list of academic staff at ILCC with research areas, and for a list of indicative PhD topics, please consult:
http://web.inf.ed.ac.uk/ilcc/people/academic-senior-research-staff
http://www.ilcc.inf.ed.ac.uk/study/possible-phd-topics-in-ilcc
Details regarding the PhD programme and the application procedure can be found at:
http://www.ed.ac.uk/informatics/postgraduate/research-degrees/phd
In order to ensure full consideration for funding, applications (including all supporting documents) need to be received by 10 December 2018. Please direct inquiries to the PhD admissions team at ilcc-admissions@inf.ed.ac.uk.
✔️ @ApplyTime
Institute for Language, Cognition and Computation
School of Informatics
University of Edinburgh
The Institute for Language, Cognition and Computation (ILCC) at the University of Edinburgh invites applications for three-year PhD studentships starting in September 2019. ILCC is dedicated to the pursuit of basic and applied research on computational approaches to language, communication and cognition.
Primary research areas include:
* Natural language processing and computational linguistics
* Speech technology
* Dialogue, multimodal interaction, language and vision
* Information retrieval and visualization, computational social science
* Computational models of human cognition and behavior, including language and speech processing
* Human-Computer interaction, design informatics, assistive and educational technology
* Psycholinguistics, language acquisition, language evolution, language variation and change
* Linguistic foundations of language and speech processing
Approximately 15 studentships from a variety of sources are available, covering both maintenance at the research council rate of GBP 14,777 per year and tuition fees. Studentships are available for UK, EU, and non-EU nationals.
Applicants should have a good honours degree or equivalent in computer science, cognitive science, AI, or a related discipline.
For a list of academic staff at ILCC with research areas, and for a list of indicative PhD topics, please consult:
http://web.inf.ed.ac.uk/ilcc/people/academic-senior-research-staff
http://www.ilcc.inf.ed.ac.uk/study/possible-phd-topics-in-ilcc
Details regarding the PhD programme and the application procedure can be found at:
http://www.ed.ac.uk/informatics/postgraduate/research-degrees/phd
In order to ensure full consideration for funding, applications (including all supporting documents) need to be received by 10 December 2018. Please direct inquiries to the PhD admissions team at ilcc-admissions@inf.ed.ac.uk.
✔️ @ApplyTime
web.inf.ed.ac.uk
Academic & senior research staff | InfWeb
These are the staff members who are primarily responsible for supervising PhD students and overseeing research projects in ILCC. Academic staff also have teaching responsibilities.
Ph.D. position in Raman spectroscopy, Helmholtz Zentrum München
The mission
The successful candidate will lead advances within an innovative research program that develops a novel endoscope combining stimulated Raman spectroscopy and scattering. The goal is to shift the paradigm in cancer early diagnosis. The project is geared toward methods development to analyze the acquired multimodal data and to provide fast and accurate label-free in vivo biopsy. We expect this project to result in a substantial technology leap in cancer early detection, enabling rapid translation into clinical diagnostics and personalized surveillance intervals.
Your profile
The successful applicant must have the following:
An M.Sc. in Physics, Electrical Engineering, Computer Engineering, Biomedical Engineering or related discipline.
Excellent academic records.
Strong motivation, scientific curiosity and commitment to scientific excellence.
High knowledge of Raman data processing, analysis, and classification.
Knowledge of machine learning techniques and statistics is highly appreciated.
In-depth programming skills in MATLAB for data analysis. LabVIEW programming, C++ skills, robotics and/or other relevant experimental skills are an advantage.
Team player skills and enthusiasm to work in a multi-disciplinary, collaborative environment.
Excellent command of the English language.
More Info
✔️ @ApplyTime
The mission
The successful candidate will lead advances within an innovative research program that develops a novel endoscope combining stimulated Raman spectroscopy and scattering. The goal is to shift the paradigm in cancer early diagnosis. The project is geared toward methods development to analyze the acquired multimodal data and to provide fast and accurate label-free in vivo biopsy. We expect this project to result in a substantial technology leap in cancer early detection, enabling rapid translation into clinical diagnostics and personalized surveillance intervals.
Your profile
The successful applicant must have the following:
An M.Sc. in Physics, Electrical Engineering, Computer Engineering, Biomedical Engineering or related discipline.
Excellent academic records.
Strong motivation, scientific curiosity and commitment to scientific excellence.
High knowledge of Raman data processing, analysis, and classification.
Knowledge of machine learning techniques and statistics is highly appreciated.
In-depth programming skills in MATLAB for data analysis. LabVIEW programming, C++ skills, robotics and/or other relevant experimental skills are an advantage.
Team player skills and enthusiasm to work in a multi-disciplinary, collaborative environment.
Excellent command of the English language.
More Info
✔️ @ApplyTime
Two PhD positions: Understanding Pseudomonas aeruginosa pathogenicity using structural biology tools, Helmholtz Zentrum München
Project description:
The candidates will investigate the structural determinants of novel pathogenicity factors in Pseudomonas aeruginosa using X-ray technologies, electron microscopy and microbial multi-omics data. The project will involve establishment of new research protocols, identification of novel virulence factors, resolution of 3D protein structures and large-scale data processing. The two positions are oriented towards talented students with background in biophysics and/or molecular microbiology, who are willing to work in the wet lab handling infectious agents. This work is a collaborative project between the groups of Prof. M. Kolbe from the Helmholtz Centre for Structural Infection (HZI) and Prof. J. Labahn from Jülich Research Center (FZJ) under the umbrella of the CSSB in Hamburg.
Qualifications:
Master in Physics or Life Science (biophysics, molecular microbiology, biochemistry, cell biology or a related field) obtained with the grade of distinction.
Interest in crystallography and microbiology is a prerequisite, background in structural biology and microbiology is an advantage.
Strong analytical skills to solve complex project-related scientific problems.
Excellent experimental and organizational skills.
A good command of the English language (written and spoken) is an asset.
Ability to work independently and as part of an international team
A strong desire to do research with high self-motivation and enthusiasm
More Info
✔️ @ApplyTime
Project description:
The candidates will investigate the structural determinants of novel pathogenicity factors in Pseudomonas aeruginosa using X-ray technologies, electron microscopy and microbial multi-omics data. The project will involve establishment of new research protocols, identification of novel virulence factors, resolution of 3D protein structures and large-scale data processing. The two positions are oriented towards talented students with background in biophysics and/or molecular microbiology, who are willing to work in the wet lab handling infectious agents. This work is a collaborative project between the groups of Prof. M. Kolbe from the Helmholtz Centre for Structural Infection (HZI) and Prof. J. Labahn from Jülich Research Center (FZJ) under the umbrella of the CSSB in Hamburg.
Qualifications:
Master in Physics or Life Science (biophysics, molecular microbiology, biochemistry, cell biology or a related field) obtained with the grade of distinction.
Interest in crystallography and microbiology is a prerequisite, background in structural biology and microbiology is an advantage.
Strong analytical skills to solve complex project-related scientific problems.
Excellent experimental and organizational skills.
A good command of the English language (written and spoken) is an asset.
Ability to work independently and as part of an international team
A strong desire to do research with high self-motivation and enthusiasm
More Info
✔️ @ApplyTime
Fully-Funded Doctoral Studentships, The Department of Computer Science at the University of Oxford
The Department of Computer Science at the University of Oxford is delighted to invite applications for fully-funded DPhil (Oxford’s PhD) scholarships tenable from 1st October 2019. We will be considering students for Oxford-Google DeepMind Graduate Scholarships, EPSRC Scholarships, Clarendon Scholarships, departmental funding and joint funding with colleges.
The University of Oxford is consistently ranked amongst the very best Computer Science departments in the world, for both teaching and research. We are committed to attracting the world’s most talented students and working with them to continue the success of the department.
The topics for the studentships are open, but should relate to the interests of one of the Department’s research areas: Algorithms & Complexity Theory, Artificial Intelligence and Machine Learning, Automated Verification, Computational Biology and Health Informatics, Cyber Physical Systems, Foundations, Structures and Quantum, Information Systems, Human Centred Computing, Programming Languages and Security. We also encourage applications in cross disciplinary areas such as Linguistics, Biology, Medicine and Quantum Foundations & Quantum Computation.
The studentships are for three years and are open to students of any nationality. Each studentship will cover university and college fees with a stipend of at least £14,777 per year. Applicants are normally expected to have, or be predicted to achieve, a first-class or a strong upper second-class grade in either (i) a four-year undergraduate degree (with integrated masters) in a relevant subject (or equivalent international qualifications), or (ii) a three-year BSc/BA degree followed by excellent (distinction) performance in a master's degree in a relevant subject.
Informal enquiries may be addressed to graduate.admissions@cs.ox.ac.uk and for more information please see our webpages
Please apply online
Closing date for applications: 11th January 2019 (Applications need to be complete with transcripts and references by this date)
✔️ @ApplyTime
The Department of Computer Science at the University of Oxford is delighted to invite applications for fully-funded DPhil (Oxford’s PhD) scholarships tenable from 1st October 2019. We will be considering students for Oxford-Google DeepMind Graduate Scholarships, EPSRC Scholarships, Clarendon Scholarships, departmental funding and joint funding with colleges.
The University of Oxford is consistently ranked amongst the very best Computer Science departments in the world, for both teaching and research. We are committed to attracting the world’s most talented students and working with them to continue the success of the department.
The topics for the studentships are open, but should relate to the interests of one of the Department’s research areas: Algorithms & Complexity Theory, Artificial Intelligence and Machine Learning, Automated Verification, Computational Biology and Health Informatics, Cyber Physical Systems, Foundations, Structures and Quantum, Information Systems, Human Centred Computing, Programming Languages and Security. We also encourage applications in cross disciplinary areas such as Linguistics, Biology, Medicine and Quantum Foundations & Quantum Computation.
The studentships are for three years and are open to students of any nationality. Each studentship will cover university and college fees with a stipend of at least £14,777 per year. Applicants are normally expected to have, or be predicted to achieve, a first-class or a strong upper second-class grade in either (i) a four-year undergraduate degree (with integrated masters) in a relevant subject (or equivalent international qualifications), or (ii) a three-year BSc/BA degree followed by excellent (distinction) performance in a master's degree in a relevant subject.
Informal enquiries may be addressed to graduate.admissions@cs.ox.ac.uk and for more information please see our webpages
Please apply online
Closing date for applications: 11th January 2019 (Applications need to be complete with transcripts and references by this date)
✔️ @ApplyTime
Post-doctoral Researchers,
MODELLING TWO-DIMENSIONAL-BASED GAS SENSORS, Theoretical and Computational Nanoscience Group
Description of Group/Project: The host develops cutting-edge theoretical research on quantum transport phenomena in graphene and 2D materials and has a long experience in large-scale simulations of complex materials. In-house methodologies allow the simulation of disordered materials containing up to hundred millions atoms, enabling predictive modelling and collaboration with experimental and technology research. The group has been funded by company such as SAMSUNG, and is member of the Graphene Flagship project since 2014.
The project is connected to an EU-FET project in which European industries and engineering laboratories will develop novel generation of gas sensors, while the group will be in charge of the modelling tasks to guide the experimental towards optimisation of devices and support the interpretation of measurements.
More Info
✔️ @ApplyTime
MODELLING TWO-DIMENSIONAL-BASED GAS SENSORS, Theoretical and Computational Nanoscience Group
Description of Group/Project: The host develops cutting-edge theoretical research on quantum transport phenomena in graphene and 2D materials and has a long experience in large-scale simulations of complex materials. In-house methodologies allow the simulation of disordered materials containing up to hundred millions atoms, enabling predictive modelling and collaboration with experimental and technology research. The group has been funded by company such as SAMSUNG, and is member of the Graphene Flagship project since 2014.
The project is connected to an EU-FET project in which European industries and engineering laboratories will develop novel generation of gas sensors, while the group will be in charge of the modelling tasks to guide the experimental towards optimisation of devices and support the interpretation of measurements.
More Info
✔️ @ApplyTime
PhD scholarship in Methane Production and Carbon Capture through Hydrate Swapping, DTU Chemical Eng.
DTU Chemical Engineering invites applications for a 3-year PhD position in Methane production and carbon capture through hydrate swapping.
This project considers the problem of using carbon dioxide to produce the vast resources of natural gas locked up as solid gas hydrates in permafrost and oceanic margin zones. The natural gas hydrates are converted to CO2 hydrates, thereby storing CO2 (the major greenhouse gas) while simultaneously releasing natural gas. This so-called “swapping” process, whereby methane (the major component in natural gas) in the hydrate is replaced by CO2, allows for production of natural gas from hydrate without adversely affecting the stability of the solid hydrate.
More Info
✔️ @ApplyTime
DTU Chemical Engineering invites applications for a 3-year PhD position in Methane production and carbon capture through hydrate swapping.
This project considers the problem of using carbon dioxide to produce the vast resources of natural gas locked up as solid gas hydrates in permafrost and oceanic margin zones. The natural gas hydrates are converted to CO2 hydrates, thereby storing CO2 (the major greenhouse gas) while simultaneously releasing natural gas. This so-called “swapping” process, whereby methane (the major component in natural gas) in the hydrate is replaced by CO2, allows for production of natural gas from hydrate without adversely affecting the stability of the solid hydrate.
More Info
✔️ @ApplyTime
https://www.dtu.dk
PhD scholarship in Methane Production and Carbon Capture through Hydrate Swapping
Outstanding international students are invited to apply for a master scholarship in artificial intelligence at The University of Sydney. The initial contract for this position is two years. Applications are welcome before October 24, 2018.
The UBTECH Sydney Artificial Intelligence Centre within the Faculty of Engineering and Information Technologies is committed to contributing to the progress of artificial intelligence, to endow machines the capabilities of perceiving, learning, reasoning, and behaving. Funded by the UBTECH Sydney Artificial Intelligence Centre, an opportunity is available for an outstanding Masters by Research scholar to conduct research in artificial intelligence.
The Scholarship will provide an annual stipend allowance equivalent to the minimum RTP rate (indexed to the RTP rate on January One each year) for up to one year, subject to satisfactory academic performance. No extension is possible. The Student Services Amenities Fee is also provided for the same duration as the stipend allowance. Periods of study already undertaken towards the degree prior to the commencement of the Scholarship. The Scholarship is for commencement in relevant research period in which it is offered for and cannot be deferred or transferred to another area of research. No other amount is payable. The Scholarship will be offered subject to the availability of funding. Progression is subject to passing the annual progress review.
More Info
✔️ @ApplyTime
The UBTECH Sydney Artificial Intelligence Centre within the Faculty of Engineering and Information Technologies is committed to contributing to the progress of artificial intelligence, to endow machines the capabilities of perceiving, learning, reasoning, and behaving. Funded by the UBTECH Sydney Artificial Intelligence Centre, an opportunity is available for an outstanding Masters by Research scholar to conduct research in artificial intelligence.
The Scholarship will provide an annual stipend allowance equivalent to the minimum RTP rate (indexed to the RTP rate on January One each year) for up to one year, subject to satisfactory academic performance. No extension is possible. The Student Services Amenities Fee is also provided for the same duration as the stipend allowance. Periods of study already undertaken towards the degree prior to the commencement of the Scholarship. The Scholarship is for commencement in relevant research period in which it is offered for and cannot be deferred or transferred to another area of research. No other amount is payable. The Scholarship will be offered subject to the availability of funding. Progression is subject to passing the annual progress review.
More Info
✔️ @ApplyTime
Huntscholarship
Artificial Intelligence Masters By Research Scholarship
Research position in mathematics and artificial intelligence at The University of Sydney, Australia