Professor Stefano Ermon is seeking an outstanding researcher for a postdoctoral position at the Stanford SUSTAIN group (http://sustain.stanford.edu/). The postdoc will carry out Machine Learning research on a broad range of topics, including learning with limited supervision, spatio-temporal modeling, learning from multimodal data, and computer vision applications. The postdoc will have the opportunity to collaborate with other researchers across disciplines at Stanford, particularly those working on areas of sustainable development as part of a Data for Development Initiative. We welcome applications from candidates with diverse educational backgrounds.
Required qualifications:
A Ph.D. (completed by start of employment) in Computer Science, or an relevant area
Training in Machine Learning and Artificial Intelligence
Experience with programming (e.g., Python)
Desired qualifications:
Experience in interdisciplinary research, working in collaborative teams, and managing research assistants
Experience with deep learning tools (e.g., TensorFlow, PyTorch)
Experience with remote sensing data is a plus
Duration: This is a one-year position with the expectation of renewal for additional years conditional on performance.
To apply: Applicants should upload their C.V. and research statement, and arrange for at least two letters of reference to be submitted by email at stanfordcspostdocapplication@gmail.com. Review of applications will begin immediately and will continue until the position is filled.
Stanford University is an Equal Opportunity, Affirmative Action Educational Institution and Employer, Title IX University. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by the law. Stanford University is an E-Verify Employer.
✔️ @ApplyTime
Required qualifications:
A Ph.D. (completed by start of employment) in Computer Science, or an relevant area
Training in Machine Learning and Artificial Intelligence
Experience with programming (e.g., Python)
Desired qualifications:
Experience in interdisciplinary research, working in collaborative teams, and managing research assistants
Experience with deep learning tools (e.g., TensorFlow, PyTorch)
Experience with remote sensing data is a plus
Duration: This is a one-year position with the expectation of renewal for additional years conditional on performance.
To apply: Applicants should upload their C.V. and research statement, and arrange for at least two letters of reference to be submitted by email at stanfordcspostdocapplication@gmail.com. Review of applications will begin immediately and will continue until the position is filled.
Stanford University is an Equal Opportunity, Affirmative Action Educational Institution and Employer, Title IX University. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by the law. Stanford University is an E-Verify Employer.
✔️ @ApplyTime
Dear colleagues,
I am looking for a PhD student staring at Boston University in Fall 2019.
I currently have two projects:
In the first project we will determine whether the Mississippi delta is able to survive sea level rise. We will use the model Delft3D coupled to new remote sensing data collected by NASA. A large scale campaign organized by several universities will provide field data to inform the model. https://www.bu.edu/earth/2018/09/26/sergio-fagherazzi-and-cedric-fichot-join-the-newly-funded-nasa-delta-x-team-to-study-the-future-of-the-mississippi-delta/
The second project explores the conversion of coastal forests to salt marsh triggered by sea level rise. Together with a group of ecologists from different universities, we will carry out a large scale experiment by cutting pine trees near the marsh boundary at the Virginia Coast Reserve LTER ( https://www.vcrlter.virginia.edu/home2/ ). The goal is to determine whether removal of trees will trigger an ecological shift to salt marsh vegetation. Our group is in charge of the hydrological component: we will install a suite of instruments to measure groundwater level and salinity, soil moisture, precipitation, light availability, etc., for 5-10 years.
The PhD is fully funded for five years; the deadline for the application is December 19 2018. More information about the PhD program at Boston University can be found here https://www.bu.edu/earth/education/graduate/
For questions you can contact me at sergio@bu.edu
Sergio Fagherazzi
Department of Earth and Environment, Marine Program
Boston University
675 Commonwealth Avenue
Room 141H
Boston, MA 02215
sergio@bu.edu
people.bu.edu/sergio
✔️ @ApplyTime
I am looking for a PhD student staring at Boston University in Fall 2019.
I currently have two projects:
In the first project we will determine whether the Mississippi delta is able to survive sea level rise. We will use the model Delft3D coupled to new remote sensing data collected by NASA. A large scale campaign organized by several universities will provide field data to inform the model. https://www.bu.edu/earth/2018/09/26/sergio-fagherazzi-and-cedric-fichot-join-the-newly-funded-nasa-delta-x-team-to-study-the-future-of-the-mississippi-delta/
The second project explores the conversion of coastal forests to salt marsh triggered by sea level rise. Together with a group of ecologists from different universities, we will carry out a large scale experiment by cutting pine trees near the marsh boundary at the Virginia Coast Reserve LTER ( https://www.vcrlter.virginia.edu/home2/ ). The goal is to determine whether removal of trees will trigger an ecological shift to salt marsh vegetation. Our group is in charge of the hydrological component: we will install a suite of instruments to measure groundwater level and salinity, soil moisture, precipitation, light availability, etc., for 5-10 years.
The PhD is fully funded for five years; the deadline for the application is December 19 2018. More information about the PhD program at Boston University can be found here https://www.bu.edu/earth/education/graduate/
For questions you can contact me at sergio@bu.edu
Sergio Fagherazzi
Department of Earth and Environment, Marine Program
Boston University
675 Commonwealth Avenue
Room 141H
Boston, MA 02215
sergio@bu.edu
people.bu.edu/sergio
✔️ @ApplyTime
PhD Position in Biomedical Engineering
100 %
You are excited about how a cardiac catheter can treat a patient's heart during a minimal-invasive approach allowing the patient to recover within the following day? In close collaboration with our industrial and clinical partners, the Swiss Institute for Translational and Entrepreneurial Medicine (sitem-insel) at the University of Bern pursue a new approach for the development of a coronary balloon catheter. We are offering a funded PhD position with the possibility to work at the forefront of biomedical engineering on cutting-edge cardiovascular technologies.
Tasks
Current percutaneous transluminal coronary angioplasty (PTCA) catheters are highly sophisticated tools in the field of cardiovascular technologies. Constantly rising demands on the catheter's quality, reliability, performance and cost-effectiveness is increasingly challenging in the field of catheter development. To tackle these challenges, it is the goal to develop a new catheter design and investigate on new production methods within the next three years. In a scientific approach and in close collaboration with the industrial partner, the candidate will
conceptualize a catheter design with respect to given requirements
evaluate suitable manufacturing technologies and materials
perform in-silico experiments to support the design and manufacturing phase of the catheter
build physical prototypes
develop and utilize mock experiments to test the catheter's features, structural integrity and performance
Requirements
You have a master's degree in Biomedical Engineering, Mechanical Engineering, Plastics Engineering or Microtechnology. A strong mechanical background will be preferred. You should be enthusiastic for conducting research on cardiovascular technologies and micro mechanical systems. Knowledge in plastic materials and manufacturing methods is an advantage. Interest in analytical and practical experimental work in close collaboration with engineers and physicians is a prerequisite. You are fluent in spoken and written English. German knowledge will be an advantage. You have an independent and self-motivated work style, good communication skills and strong team-working abilities.
We offer
A PhD position in an interdisciplinary and dynamic team of engineers and physicians, where creative and innovative work is highly appreciated. The position provides the opportunity for the candidate to be involved in the development of cutting-edge cardiovascular device technology. The PhD candidate will have the opportunity to present results at international conferences and renowned peer-reviewed journals. The position is fully funded for three years. The salary is according to the terms of the Swiss National Science Foundation (www.snf.ch). The position is available immediately; the starting date is negotiable.
Contact
We are looking forward to receiving your application including cover letter, CV and certificates via e mail to Dr. Adrian Zurbuchen (University of Bern, Medical Faculty, sitem-insel, Schwarztorstrasse 56, 3007 Bern, adrian.zurbuchen@med.unibe.ch)
✔️ @ApplyTime
100 %
You are excited about how a cardiac catheter can treat a patient's heart during a minimal-invasive approach allowing the patient to recover within the following day? In close collaboration with our industrial and clinical partners, the Swiss Institute for Translational and Entrepreneurial Medicine (sitem-insel) at the University of Bern pursue a new approach for the development of a coronary balloon catheter. We are offering a funded PhD position with the possibility to work at the forefront of biomedical engineering on cutting-edge cardiovascular technologies.
Tasks
Current percutaneous transluminal coronary angioplasty (PTCA) catheters are highly sophisticated tools in the field of cardiovascular technologies. Constantly rising demands on the catheter's quality, reliability, performance and cost-effectiveness is increasingly challenging in the field of catheter development. To tackle these challenges, it is the goal to develop a new catheter design and investigate on new production methods within the next three years. In a scientific approach and in close collaboration with the industrial partner, the candidate will
conceptualize a catheter design with respect to given requirements
evaluate suitable manufacturing technologies and materials
perform in-silico experiments to support the design and manufacturing phase of the catheter
build physical prototypes
develop and utilize mock experiments to test the catheter's features, structural integrity and performance
Requirements
You have a master's degree in Biomedical Engineering, Mechanical Engineering, Plastics Engineering or Microtechnology. A strong mechanical background will be preferred. You should be enthusiastic for conducting research on cardiovascular technologies and micro mechanical systems. Knowledge in plastic materials and manufacturing methods is an advantage. Interest in analytical and practical experimental work in close collaboration with engineers and physicians is a prerequisite. You are fluent in spoken and written English. German knowledge will be an advantage. You have an independent and self-motivated work style, good communication skills and strong team-working abilities.
We offer
A PhD position in an interdisciplinary and dynamic team of engineers and physicians, where creative and innovative work is highly appreciated. The position provides the opportunity for the candidate to be involved in the development of cutting-edge cardiovascular device technology. The PhD candidate will have the opportunity to present results at international conferences and renowned peer-reviewed journals. The position is fully funded for three years. The salary is according to the terms of the Swiss National Science Foundation (www.snf.ch). The position is available immediately; the starting date is negotiable.
Contact
We are looking forward to receiving your application including cover letter, CV and certificates via e mail to Dr. Adrian Zurbuchen (University of Bern, Medical Faculty, sitem-insel, Schwarztorstrasse 56, 3007 Bern, adrian.zurbuchen@med.unibe.ch)
✔️ @ApplyTime
Research Fellow in Demography & Health at London School of Hygiene & Tropical Medicine
An exciting opportunity is available for an ambitious demographer, statistician, or epidemiologist with the Network for Analysing Longitudinal Population-based HIV data on Africa (ALPHA Network). The ALPHA network brings together ten collaborating African research institutes that conduct population-based HIV surveillance in eastern and southern Africa and is coordinated by the London School of Hygiene & Tropical Medicine (LSHTM). Among others, the ALPHA Network harmonizes diverse data sets into a common format so as to conduct comparative studies and meta-analyses on pooled data sets.
The Research Fellow in Demography & Health will join a team of analysts in London to work on a 3-year research project, funded by the Bill and Melinda Gates Foundation to estimate HIV incidence and mortality, and in the comparison of population-based estimates with those emanating from routinely collected data in health facilities.
The successful applicant must have a PhD in the relevant subject, including demography, medical statistics, epidemiology, or reproductive health (or equivalent working experience in these fields); expertise in the analysis of large and complex (longitudinal) datasets; proven ability to use statistical analysis software (preferably Stata or R); and strong quantitative skills, preferably in the area of demographic estimation. Further particulars are included in the job description.
This full-time position is available as soon as possible for the duration of one year, with the possibility of further extension. It will be based in London in the Faculty of EPH and in the Department of Population Health, at Keppel Street, Bloomsbury. The salary will be on the Academic pathways Grade 6 scale in the range £39,304 - £44,634 per annum (inclusive of London Weighting). The post will be subject to the LSHTM terms and conditions of service. Annual leave entitlement is 30 working days per year, pro rata for part time staff. In addition to this there are discretionary “Director’s Days”. Membership of the Pension Scheme is available.
The supporting statement section should set out how your qualifications, experience and training meet each of the selection criteria. Please provide one or more paragraphs addressing each criterion. The supporting statement is an essential part of the selection process and thus a failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as "Please see attached CV" will not be considered acceptable.
Please note that if you are shortlisted and are unable to attend on the interview date it may not be possible to offer you an alternative date.
Applications should be made on-line via the website. The reference for this post is EPH-DPH-2018-13. Applications should include the names and email contacts of two referees who can be contacted immediately if shortlisted. Any queries regarding the application process may be addressed to this Email. Inquiries about the position can be directed to Georges Reniers or Emma Slaymaker.
✔️ @ApplyTime
An exciting opportunity is available for an ambitious demographer, statistician, or epidemiologist with the Network for Analysing Longitudinal Population-based HIV data on Africa (ALPHA Network). The ALPHA network brings together ten collaborating African research institutes that conduct population-based HIV surveillance in eastern and southern Africa and is coordinated by the London School of Hygiene & Tropical Medicine (LSHTM). Among others, the ALPHA Network harmonizes diverse data sets into a common format so as to conduct comparative studies and meta-analyses on pooled data sets.
The Research Fellow in Demography & Health will join a team of analysts in London to work on a 3-year research project, funded by the Bill and Melinda Gates Foundation to estimate HIV incidence and mortality, and in the comparison of population-based estimates with those emanating from routinely collected data in health facilities.
The successful applicant must have a PhD in the relevant subject, including demography, medical statistics, epidemiology, or reproductive health (or equivalent working experience in these fields); expertise in the analysis of large and complex (longitudinal) datasets; proven ability to use statistical analysis software (preferably Stata or R); and strong quantitative skills, preferably in the area of demographic estimation. Further particulars are included in the job description.
This full-time position is available as soon as possible for the duration of one year, with the possibility of further extension. It will be based in London in the Faculty of EPH and in the Department of Population Health, at Keppel Street, Bloomsbury. The salary will be on the Academic pathways Grade 6 scale in the range £39,304 - £44,634 per annum (inclusive of London Weighting). The post will be subject to the LSHTM terms and conditions of service. Annual leave entitlement is 30 working days per year, pro rata for part time staff. In addition to this there are discretionary “Director’s Days”. Membership of the Pension Scheme is available.
The supporting statement section should set out how your qualifications, experience and training meet each of the selection criteria. Please provide one or more paragraphs addressing each criterion. The supporting statement is an essential part of the selection process and thus a failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as "Please see attached CV" will not be considered acceptable.
Please note that if you are shortlisted and are unable to attend on the interview date it may not be possible to offer you an alternative date.
Applications should be made on-line via the website. The reference for this post is EPH-DPH-2018-13. Applications should include the names and email contacts of two referees who can be contacted immediately if shortlisted. Any queries regarding the application process may be addressed to this Email. Inquiries about the position can be directed to Georges Reniers or Emma Slaymaker.
✔️ @ApplyTime
ALPHA Network
Home - ALPHA Network
ALPHA is a network of longitudinal population-based HIV studies in sub-Saharan Africa
Multiple Postdoctoral Positions @ University of Alabama
The Department of Civil and Environmental Engineering and the Center for Complex Hydrosystems Research (CCHR) at the University of Alabama seek outstanding applicants for multiple postdoctoral scholar positions. The successful candidates will support hydrologic modeling at local, regional and continental scales, state-of-the art data assimilation, machine learning, flood and drought monitoring and forecasting, flood inundation modeling, and the use of soil moisture and snow remote sensing data for the above. It is expected that candidates have strong statistical and quantitative background, strong programming skills in Python or Matlab, good command in using Linux and data management, and strong skills in written and oral communication of research results.
It is highly desirable that candidates have competence in data intensive research, high performance (parallel) computing and deep learning. Working knowledge with models such as Noah-MP, WRF-Hydro/ National Water Model, and VIC is viewed favorably.
The post-docs will be expected to write scientific papers, technical reports and present research results, and assist in developing proposals for external funding. The positions provide great opportunities for research, education, and professional development. This is a fixed-term position with opportunities for annual renewal based on satisfactory performance.
To be considered for these positions, applicants should upload a cover letter, curriculum vitae, two representative publications, and contact information for at least two references via this link https://facultyjobs.ua.edu/postings/44208.
Review of applications will begin immediately, and priority is given to applications received by November 30, 2018. The intention is to hire by end of this year, however, the search will continue until the positions are filled. For questions, please contact Dr. Hamid Moradkhani (hmoradkhani@ua.edu).
Please feel free to share these openings with interested applicants.
Hamid Moradkhani, PhD, PE, F.ASCE
Alton N. Scott Professor of Engineering
Director, Center for Complex Hydrosystems Research
Department of Civil, Construction and Environmental Engineering
The University of Alabama
✔️ @ApplyTime
The Department of Civil and Environmental Engineering and the Center for Complex Hydrosystems Research (CCHR) at the University of Alabama seek outstanding applicants for multiple postdoctoral scholar positions. The successful candidates will support hydrologic modeling at local, regional and continental scales, state-of-the art data assimilation, machine learning, flood and drought monitoring and forecasting, flood inundation modeling, and the use of soil moisture and snow remote sensing data for the above. It is expected that candidates have strong statistical and quantitative background, strong programming skills in Python or Matlab, good command in using Linux and data management, and strong skills in written and oral communication of research results.
It is highly desirable that candidates have competence in data intensive research, high performance (parallel) computing and deep learning. Working knowledge with models such as Noah-MP, WRF-Hydro/ National Water Model, and VIC is viewed favorably.
The post-docs will be expected to write scientific papers, technical reports and present research results, and assist in developing proposals for external funding. The positions provide great opportunities for research, education, and professional development. This is a fixed-term position with opportunities for annual renewal based on satisfactory performance.
To be considered for these positions, applicants should upload a cover letter, curriculum vitae, two representative publications, and contact information for at least two references via this link https://facultyjobs.ua.edu/postings/44208.
Review of applications will begin immediately, and priority is given to applications received by November 30, 2018. The intention is to hire by end of this year, however, the search will continue until the positions are filled. For questions, please contact Dr. Hamid Moradkhani (hmoradkhani@ua.edu).
Please feel free to share these openings with interested applicants.
Hamid Moradkhani, PhD, PE, F.ASCE
Alton N. Scott Professor of Engineering
Director, Center for Complex Hydrosystems Research
Department of Civil, Construction and Environmental Engineering
The University of Alabama
✔️ @ApplyTime
Post-doc in NLP and ML at Macquarie University/Data61 in Sydney, Australia
The NLP/ML group in the Dept of Computing at Macquarie University, Sydney, Australia is recruiting a post-doctoral researcher for a joint research project "Information Extraction and Parsing Methods for Government and Enterprise Applications" on information and relation extraction involving Macquarie University, CSIRO's Data61 and the University of Edinburgh. The project uses syntactic parsing and deep learning to extract "who did what to whom when" from a large corpus of texts. The research involves integrating information extracted from multiple texts and using this information in creative ways, e.g., building event time-lines for individuals, learning entailments between predicates and relations, etc.
The post-doc will report to Professor Mark Johnson in the Department of Computing, Macquarie University and Dr Stephen Wan of CSIRO's Data61, Marsfield, and will be collaborating with Professor Mark Steedman of Edinburgh University.
You will need to have a PhD and strong research record in NLP and ML, especially Deep Learning. You will need to show proficiency with Deep Learning toolkits such as TensorFlow and Pytorch. Applications close on the 5th December 2018. For further information and to make an application see the official advertisement on http://jobs.mq.edu.au/cw/en/job/504833/postdoctoral-research-fellow.
✔️ @ApplyTime
The NLP/ML group in the Dept of Computing at Macquarie University, Sydney, Australia is recruiting a post-doctoral researcher for a joint research project "Information Extraction and Parsing Methods for Government and Enterprise Applications" on information and relation extraction involving Macquarie University, CSIRO's Data61 and the University of Edinburgh. The project uses syntactic parsing and deep learning to extract "who did what to whom when" from a large corpus of texts. The research involves integrating information extracted from multiple texts and using this information in creative ways, e.g., building event time-lines for individuals, learning entailments between predicates and relations, etc.
The post-doc will report to Professor Mark Johnson in the Department of Computing, Macquarie University and Dr Stephen Wan of CSIRO's Data61, Marsfield, and will be collaborating with Professor Mark Steedman of Edinburgh University.
You will need to have a PhD and strong research record in NLP and ML, especially Deep Learning. You will need to show proficiency with Deep Learning toolkits such as TensorFlow and Pytorch. Applications close on the 5th December 2018. For further information and to make an application see the official advertisement on http://jobs.mq.edu.au/cw/en/job/504833/postdoctoral-research-fellow.
✔️ @ApplyTime
Job opportunities
Working at Macquarie
Employment opportunities at Macquarie University
Senior Researcher/ PostDoc at GESI, Data Archive for Social Sciences
The "Data Archive for Social Sciences" offers access to social science research data, including national (e.g. ALLBUS, GLES) and international (e.g. ISSP, EVS) survey programmes. As a central player in the social science infrastructures for research data, the department works with German (e.g. RatSWD) and European (e.g. CESSDA) partners to continuously improve the retrievability, documentation and usability of data in order to strengthen social science research.
Your area of responsibility:
Active promotion of data services (outreach) in the German and international social science community
Conception and implementation of training courses for researchers and data managers on techniques and tools of research data management
Research and publication activities at the highest academic level in the field of research data management or current social issues with quantitative methods
Acquisition and supervision of third-party funded projects
Your profile
Completed quantitative doctorate in a social science discipline (political science, sociology, etc.) or in a subject related to research data management. A focus in the field of Internet data / digital behavioral data is advantageous.
knowledge of the relevant data protection and copyright regulations
Relevant publication experience as well as experience in teaching and in acquiring third-party funding projects
Knowledge in archiving or managing social science research data, especially internet-based, administrative or georeferenced data, is an advantage.
Very good knowledge of German and English as well as experience in dealing with social media channels (Twitter, Blog)
Deadline: 20 November 2018
More Info
✔️ @ApplyTime
The "Data Archive for Social Sciences" offers access to social science research data, including national (e.g. ALLBUS, GLES) and international (e.g. ISSP, EVS) survey programmes. As a central player in the social science infrastructures for research data, the department works with German (e.g. RatSWD) and European (e.g. CESSDA) partners to continuously improve the retrievability, documentation and usability of data in order to strengthen social science research.
Your area of responsibility:
Active promotion of data services (outreach) in the German and international social science community
Conception and implementation of training courses for researchers and data managers on techniques and tools of research data management
Research and publication activities at the highest academic level in the field of research data management or current social issues with quantitative methods
Acquisition and supervision of third-party funded projects
Your profile
Completed quantitative doctorate in a social science discipline (political science, sociology, etc.) or in a subject related to research data management. A focus in the field of Internet data / digital behavioral data is advantageous.
knowledge of the relevant data protection and copyright regulations
Relevant publication experience as well as experience in teaching and in acquiring third-party funding projects
Knowledge in archiving or managing social science research data, especially internet-based, administrative or georeferenced data, is an advantage.
Very good knowledge of German and English as well as experience in dealing with social media channels (Twitter, Blog)
Deadline: 20 November 2018
More Info
✔️ @ApplyTime
PhD and Postdoc positions at MPI of Biochemistry
Developmental and Evolutionary Biology & Genetics Immunobiology and Infection Biology & Medicine Structural and Cell Biology
Job Code: 34.18
Job Offer from October 01, 2018
The Max Planck Institute of Biochemistry in Martinsried is a leading international research facility in the field of biochemistry, cell and structure biology and biomedical research and, with around 35 scientific Departments and Research Groups and 850 employees in total, ranks among the largest Institutes of the Max Planck Society for the Advancement of Science.
The Department of Molecular Medicine is seeking Biochemists (f/m) for a PhD position. The successful candidate for this position would take over an ambitious project where reconstituted adhesion complexes are used to understand the earliest molecular events of cell adhesion to integrin substrates. The project is funded by ERC for the next six years.
The candidate would join a successful and well-equipped laboratory with worldwide recognition in the field of adhesion biology consisting of biologist, biochemists and physicists. Besides an interesting and disease-relevant project, we offer the opportunity to connect to internationally renowned scientists.
We are seeking candidates with a strong background in biochemistry, with in depth experience in
Heterologous protein expression und purification
Characterization of proteins
Analysis of protein interactions (e.g. surface plasmon resonance, isothermal titration calorimetry, analytical ultracentrifugation, dynamic light scattering)
The salary level will be according to TVöD (Bund) (public salary scale).
The position is fixed term for three years with possible extension.
The Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply.
The Max Planck Society is committed to employing more disabled individuals and especially encourages them to apply.
Please send your application including references to Prof. Dr. Reinhard Fässler (Faessler@biochem.mpg.de) or Dr. Ralph Böttcher (rboettch@biochem.mpg.de).
✔️ @ApplyTime
Developmental and Evolutionary Biology & Genetics Immunobiology and Infection Biology & Medicine Structural and Cell Biology
Job Code: 34.18
Job Offer from October 01, 2018
The Max Planck Institute of Biochemistry in Martinsried is a leading international research facility in the field of biochemistry, cell and structure biology and biomedical research and, with around 35 scientific Departments and Research Groups and 850 employees in total, ranks among the largest Institutes of the Max Planck Society for the Advancement of Science.
The Department of Molecular Medicine is seeking Biochemists (f/m) for a PhD position. The successful candidate for this position would take over an ambitious project where reconstituted adhesion complexes are used to understand the earliest molecular events of cell adhesion to integrin substrates. The project is funded by ERC for the next six years.
The candidate would join a successful and well-equipped laboratory with worldwide recognition in the field of adhesion biology consisting of biologist, biochemists and physicists. Besides an interesting and disease-relevant project, we offer the opportunity to connect to internationally renowned scientists.
We are seeking candidates with a strong background in biochemistry, with in depth experience in
Heterologous protein expression und purification
Characterization of proteins
Analysis of protein interactions (e.g. surface plasmon resonance, isothermal titration calorimetry, analytical ultracentrifugation, dynamic light scattering)
The salary level will be according to TVöD (Bund) (public salary scale).
The position is fixed term for three years with possible extension.
The Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply.
The Max Planck Society is committed to employing more disabled individuals and especially encourages them to apply.
Please send your application including references to Prof. Dr. Reinhard Fässler (Faessler@biochem.mpg.de) or Dr. Ralph Böttcher (rboettch@biochem.mpg.de).
✔️ @ApplyTime
Postdoctoral fellowship (2 years) in Marine Ecology: Carbon cycling in Arctic benthos
A two-year postdoc fellowship in Marin Ecology: Carbon cycling in Arctic benthos is available at the Faculty of Biosciences and Aquaculture, Nord University (Bodø, Norway) from March 1th, 2019.
FBA invites applications from outstanding candidates for a two-year Post-doctoral position within a research project on carbon cycling in Arctic benthic ecosystems. The position is affiliated with the Research Group Ecology and the successful candidate will join the Benthos Ecology research unit.
A significant portion of the position involves studying carbon cycling pathways in Arctic marine benthic communities in conjunction with the Nansen Legacy project. The candidate will design and conduct benthic-process experiments during a series of research cruises in 2019-2020 in collaboration with Akvaplan-Niva and other project partners. The postdoc is supposed to contribute to the planning and design of the field studies.
The post-doc project aims to improve the knowledge of carbon and nutrient cycling through the food web of arctic communities in the northern Barents Sea and adjacent slope, which is the study area of this project. Here, climate change effects were observed and predicted to occur rapidly, while the biological consequences are poorly understood. In collaboration with the Nansen legacy project we will focus on how climate change might affect the seasonal cycles and in consequence the linked biological processes in the northern Barents Sea.
The candidate is expected to work independently in an international and interdisciplinary project team and will supervise master and PhD students.
More Info
✔️ @ApplyTime
A two-year postdoc fellowship in Marin Ecology: Carbon cycling in Arctic benthos is available at the Faculty of Biosciences and Aquaculture, Nord University (Bodø, Norway) from March 1th, 2019.
FBA invites applications from outstanding candidates for a two-year Post-doctoral position within a research project on carbon cycling in Arctic benthic ecosystems. The position is affiliated with the Research Group Ecology and the successful candidate will join the Benthos Ecology research unit.
A significant portion of the position involves studying carbon cycling pathways in Arctic marine benthic communities in conjunction with the Nansen Legacy project. The candidate will design and conduct benthic-process experiments during a series of research cruises in 2019-2020 in collaboration with Akvaplan-Niva and other project partners. The postdoc is supposed to contribute to the planning and design of the field studies.
The post-doc project aims to improve the knowledge of carbon and nutrient cycling through the food web of arctic communities in the northern Barents Sea and adjacent slope, which is the study area of this project. Here, climate change effects were observed and predicted to occur rapidly, while the biological consequences are poorly understood. In collaboration with the Nansen legacy project we will focus on how climate change might affect the seasonal cycles and in consequence the linked biological processes in the northern Barents Sea.
The candidate is expected to work independently in an international and interdisciplinary project team and will supervise master and PhD students.
More Info
✔️ @ApplyTime
Jobbnorge.no
Postdoctoral fellowship (2 years) in Marine Ecology: Carbon cycling in Arctic benthos (158813) | Nord University
Job title: Postdoctoral fellowship (2 years) in Marine Ecology: Carbon cycling in Arctic benthos (158813), Employer: Nord University, Deadline: Tuesday, November 20, 2018
Government of Ireland Postdoctoral Fellowship Programme
This programme aims to support suitably qualified applicants in any discipline to pursue a postdoctoral fellowship at an eligible higher education institution in Ireland. Fellows will hold a Government of Ireland Postdoctoral Fellowship. These fellowships can be held for either one or two years.
Eligibility
An applicant must have either graduated or have been certified as having fulfilled all the requirements for the award of a doctoral degree, including the submission of the hardbound corrected thesis, within the five year period between 31 May 2014 and 31 May 2019.
What we offer
a salary of €31,275 per annum
employer’s PRSI contribution of €3,395 per annum (10.85% of salary)
employer’s pension contribution, where applicable, of €6,255 per annum (20% of salary)
eligible direct research expenses of €5,000 per annum
More Info
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This programme aims to support suitably qualified applicants in any discipline to pursue a postdoctoral fellowship at an eligible higher education institution in Ireland. Fellows will hold a Government of Ireland Postdoctoral Fellowship. These fellowships can be held for either one or two years.
Eligibility
An applicant must have either graduated or have been certified as having fulfilled all the requirements for the award of a doctoral degree, including the submission of the hardbound corrected thesis, within the five year period between 31 May 2014 and 31 May 2019.
What we offer
a salary of €31,275 per annum
employer’s PRSI contribution of €3,395 per annum (10.85% of salary)
employer’s pension contribution, where applicable, of €6,255 per annum (20% of salary)
eligible direct research expenses of €5,000 per annum
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Irish Research Council
Government of Ireland Postdoctoral Fellowship Programme | Irish Research Council
Background The Government of Ireland Postdoctoral Fellowship Programme is an established national initiative, funded by the Department of Further and Higher Education, Research, Innovation and →
PhD Position on nutrient cycling by plants and microorganisms
Qualifications and skills:
M.Sc. degree in Geoecology, Environmental Sciences, Soil Science, Physical Geography, Landscape Ecology, Microbiology, Biology, Environmental Chemistry, or similar.
Excellent knowledge of and laboratory experience is required.
Ability to independently conduct sampling campaigns and experiments in Chile is required.
A driving license (equivalent to the German Class B) is required
Very good English and Spanish communication and writing skills are highly desirable.
Extended knowledge of stable isotopes in the environment is desirable.
High motivation and commitment to participate in an interdisciplinary research program.
More Info
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Qualifications and skills:
M.Sc. degree in Geoecology, Environmental Sciences, Soil Science, Physical Geography, Landscape Ecology, Microbiology, Biology, Environmental Chemistry, or similar.
Excellent knowledge of and laboratory experience is required.
Ability to independently conduct sampling campaigns and experiments in Chile is required.
A driving license (equivalent to the German Class B) is required
Very good English and Spanish communication and writing skills are highly desirable.
Extended knowledge of stable isotopes in the environment is desirable.
High motivation and commitment to participate in an interdisciplinary research program.
More Info
✔️ @ApplyTime
Postdoctoral fellow in Computational Genomics at EMBL
A Postdoctoral position in machine learning and computational single-cell genomics is available in the Statistical Genomics and Systems Genetics group at our laboratory in the Genome Biology Unit at EMBL Heidelberg in Germany. Our research group is relocating from Cambridge to Heidelberg, where we bridge the excellence in molecular biology and biotechnology at EMBL Heidelberg with disease models and access to large biomedical datasets at the German Cancer Research Center Heidelberg. The position is funded via the recently awarded BMBF project MechML, which we are coordinating.The position will be jointly located at EMBL Heidelberg and DKFZ.
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A Postdoctoral position in machine learning and computational single-cell genomics is available in the Statistical Genomics and Systems Genetics group at our laboratory in the Genome Biology Unit at EMBL Heidelberg in Germany. Our research group is relocating from Cambridge to Heidelberg, where we bridge the excellence in molecular biology and biotechnology at EMBL Heidelberg with disease models and access to large biomedical datasets at the German Cancer Research Center Heidelberg. The position is funded via the recently awarded BMBF project MechML, which we are coordinating.The position will be jointly located at EMBL Heidelberg and DKFZ.
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www.embl.de
EMBL Job Opportunities - EMBL
2 Scientists (f/m/diverse) at Beamline P11, PETRA III
DESY
DESY is one of the world’s leading research centres for photon science, particle and astroparticle physics as well as accelerator physics. More than 2400 employees work at our two locations Hamburg and Zeuthen in science, technology and administration.
Looking back on a long tradition in research with synchrotron radiation, DESY is one of the leading centres in the field of photon science worldwide. With the storage ring PETRA III and the Free-Electron-Laser FLASH, DESY offers a unique combination of photon sources to the scientific community. PETRA III, one of the most brilliant hard X-ray facilities worldwide, currently provides 20 undulator beamlines for experiments utilizing the extreme source brilliance. The 'Bioimaging and Diffraction Beamline P11' provides extremely high flux denisities allowing for ultra fast 3D structure determination of biological samples. We are seeking two highly motivated scientists (f/m/diverse) to enhance our macromolecular crystallography research team at this state-of-the-art beamline.
More Info
✔️ @ApplyTime
DESY
DESY is one of the world’s leading research centres for photon science, particle and astroparticle physics as well as accelerator physics. More than 2400 employees work at our two locations Hamburg and Zeuthen in science, technology and administration.
Looking back on a long tradition in research with synchrotron radiation, DESY is one of the leading centres in the field of photon science worldwide. With the storage ring PETRA III and the Free-Electron-Laser FLASH, DESY offers a unique combination of photon sources to the scientific community. PETRA III, one of the most brilliant hard X-ray facilities worldwide, currently provides 20 undulator beamlines for experiments utilizing the extreme source brilliance. The 'Bioimaging and Diffraction Beamline P11' provides extremely high flux denisities allowing for ultra fast 3D structure determination of biological samples. We are seeking two highly motivated scientists (f/m/diverse) to enhance our macromolecular crystallography research team at this state-of-the-art beamline.
More Info
✔️ @ApplyTime
Postdoc in computational, machine, mathematics at Microsoft
Application deadline: Dec 11, 2018.
The machine learning team at Microsoft Research NYC is seeking a qualified postdoctoral researcher to join us in advancing the state-of-the-art in ML and AI. If your research background is in machine learning, artificial intelligence or a related field, we would like to hear from you!
Microsoft Research offers an exhilarating and supportive environment for cutting-edge, multidisciplinary research, both theoretical and applied, with access to an extraordinary diversity of big and small data sources, an open publications policy, and close links to top academic institutions around the world. We seek applicants with the passion and ability to craft and pursue an independent research program, including a strong publication record at top research venues.
The Microsoft Research machine learning group in New York includes the following researchers (click on each link to view their respective projects and publications): Hal Daumé III, Miroslav Dudík, Akshay Krishnamurthy, John Langford, Robert Schapire, Alex Slivkins, Jenn Wortman Vaughan, and Hanna Wallach. We collaborate extensively with the other groups at MSR NYC (fairness/accountability/transparency/ethics in AI, computational economics, computational social science, and computer systems) and with groups across Microsoft Research.
More Info
✔️ @ApplyTime
Application deadline: Dec 11, 2018.
The machine learning team at Microsoft Research NYC is seeking a qualified postdoctoral researcher to join us in advancing the state-of-the-art in ML and AI. If your research background is in machine learning, artificial intelligence or a related field, we would like to hear from you!
Microsoft Research offers an exhilarating and supportive environment for cutting-edge, multidisciplinary research, both theoretical and applied, with access to an extraordinary diversity of big and small data sources, an open publications policy, and close links to top academic institutions around the world. We seek applicants with the passion and ability to craft and pursue an independent research program, including a strong publication record at top research venues.
The Microsoft Research machine learning group in New York includes the following researchers (click on each link to view their respective projects and publications): Hal Daumé III, Miroslav Dudík, Akshay Krishnamurthy, John Langford, Robert Schapire, Alex Slivkins, Jenn Wortman Vaughan, and Hanna Wallach. We collaborate extensively with the other groups at MSR NYC (fairness/accountability/transparency/ethics in AI, computational economics, computational social science, and computer systems) and with groups across Microsoft Research.
More Info
✔️ @ApplyTime
Microsoft
Postdoctoral Researcher - ML/AI in New York, New York, United States | Research at Microsoft
Apply for Postdoctoral Researcher - ML/AI job with Microsoft in New York, New York, United States. Research at Microsoft
10 fully funded PhD positions: Plant Sciences 127 views
Timeline
The final deadline for application is January 4, 2019 and the selection process will take about four weeks. Selected applicants will receive invitations to our Selection Symposium early in February. The Selection Symposium runs from March 18-21, 2019 at the Max Planck Institute for Plant Breeding Research in Cologne, Germany. Successful applicants will typically start their PhD projects in autumn 2019.
Requirements
As an international program, we encourage students from all countries to apply. Successful applicants will be enrolled at a German University which is typically the University of Cologne (UoC) or the Heinrich-Heine University (HHU) located in Düsseldorf near Cologne. The Max Planck Institute for Plant Breeding Research (MPIPZ) and the Universities of Cologne and Düsseldorf are equal opportunity employers.
To be considered for selection, you must hold a Master’s degree or comparable and have completed 4 to 5 years of university studies in subjects relevant to the individual projects. While it is not necessary to hold the degree at the time of application, it must be awarded before PhD projects start. The quality of the degrees (i.e. eligibility) will be checked by the University of Cologne or Düsseldorf on a case-by-case basis.
Solid knowledge of the English language is necessary to succeed in our program. We thus encourage you to support your application with the result(s) of internationally accepted language exams such as TOEFL or IELTS, which are however not mandatory.
What we offer
The MPIPZ and the Universities in Cologne and Düsseldorf form an outstanding cluster for basic research in the plant sciences. Supported through the Excellence Strategy of the German federal and state governments (see CEPLAS homepage), we offer a truly interdisciplinary training of young researchers who will work in a supportive international environment designed to harness creativity.
PhD positions are fully funded for 3 years and PhD students will benefit from a structured supportive programme with shared supervision and training in a wide range of transferable and applicable skills.
Apply Now
✔️ @ApplyTime
Timeline
The final deadline for application is January 4, 2019 and the selection process will take about four weeks. Selected applicants will receive invitations to our Selection Symposium early in February. The Selection Symposium runs from March 18-21, 2019 at the Max Planck Institute for Plant Breeding Research in Cologne, Germany. Successful applicants will typically start their PhD projects in autumn 2019.
Requirements
As an international program, we encourage students from all countries to apply. Successful applicants will be enrolled at a German University which is typically the University of Cologne (UoC) or the Heinrich-Heine University (HHU) located in Düsseldorf near Cologne. The Max Planck Institute for Plant Breeding Research (MPIPZ) and the Universities of Cologne and Düsseldorf are equal opportunity employers.
To be considered for selection, you must hold a Master’s degree or comparable and have completed 4 to 5 years of university studies in subjects relevant to the individual projects. While it is not necessary to hold the degree at the time of application, it must be awarded before PhD projects start. The quality of the degrees (i.e. eligibility) will be checked by the University of Cologne or Düsseldorf on a case-by-case basis.
Solid knowledge of the English language is necessary to succeed in our program. We thus encourage you to support your application with the result(s) of internationally accepted language exams such as TOEFL or IELTS, which are however not mandatory.
What we offer
The MPIPZ and the Universities in Cologne and Düsseldorf form an outstanding cluster for basic research in the plant sciences. Supported through the Excellence Strategy of the German federal and state governments (see CEPLAS homepage), we offer a truly interdisciplinary training of young researchers who will work in a supportive international environment designed to harness creativity.
PhD positions are fully funded for 3 years and PhD students will benefit from a structured supportive programme with shared supervision and training in a wide range of transferable and applicable skills.
Apply Now
✔️ @ApplyTime
Postdoc in addiction & decision neuroscience at Rutgers University
The Addiction & Decision Neuroscience Lab (www.konovalab.com) at Rutgers University—New Brunswick invites applicants for a postdoc position to begin in Summer/Fall 2019.
Description: The ADN Lab conducts decision neuroscience work in health and drug addiction that borrows heavily on methods from psychology, experimental economics, clinical neuroscience, and computational psychiatry. Projects span clinical studies of risk and resilience factors in opioid addiction recovery to experimental studies of value construction, subjective states (craving, stress), and dietary choice in health, and use a variety of techniques including behavior, functional MRI, psychophysiology, and clinical assessment and phenotyping. The successful candidate will have an opportunity to develop their own research questions within the broader aims of the lab as well as contribute to ongoing projects and collaborations.
Rutgers University offers an ideal environment to conduct clinically-oriented computational and cognitive neuroscience research including access to the Rutgers-Princeton Center for Computational Cognitive Neuro-Psychiatry, the Rutgers Brain Imaging Center, the Brain Health Institute, and a large network of university-affiliated clinics and treatment centers. Added bonus: we are located an hour train ride from wonderful New York City.
Qualifications: PhD, MD or MD/PhD in psychology, cognitive neuroscience, or a related field is required. Previous experience working with functional neuroimaging, computational modeling, and/or patient populations is strongly desired but not required. The ideal candidate will be enthusiastic, curious, and will have excellent communication skills.
To apply: Please send a letter of interest describing your background, skills, and research interests, along with your CV and contact information for two references to Anna Konova, PhD (anna.konova@rutgers.edu). Informal inquiries are also welcome. Applicants with a commitment to research and teaching particularly of traditionally underserved students can also apply for the 3-year NIH-funded INSPIRE fellowship to work in the lab.
✔️ @ApplyTime
The Addiction & Decision Neuroscience Lab (www.konovalab.com) at Rutgers University—New Brunswick invites applicants for a postdoc position to begin in Summer/Fall 2019.
Description: The ADN Lab conducts decision neuroscience work in health and drug addiction that borrows heavily on methods from psychology, experimental economics, clinical neuroscience, and computational psychiatry. Projects span clinical studies of risk and resilience factors in opioid addiction recovery to experimental studies of value construction, subjective states (craving, stress), and dietary choice in health, and use a variety of techniques including behavior, functional MRI, psychophysiology, and clinical assessment and phenotyping. The successful candidate will have an opportunity to develop their own research questions within the broader aims of the lab as well as contribute to ongoing projects and collaborations.
Rutgers University offers an ideal environment to conduct clinically-oriented computational and cognitive neuroscience research including access to the Rutgers-Princeton Center for Computational Cognitive Neuro-Psychiatry, the Rutgers Brain Imaging Center, the Brain Health Institute, and a large network of university-affiliated clinics and treatment centers. Added bonus: we are located an hour train ride from wonderful New York City.
Qualifications: PhD, MD or MD/PhD in psychology, cognitive neuroscience, or a related field is required. Previous experience working with functional neuroimaging, computational modeling, and/or patient populations is strongly desired but not required. The ideal candidate will be enthusiastic, curious, and will have excellent communication skills.
To apply: Please send a letter of interest describing your background, skills, and research interests, along with your CV and contact information for two references to Anna Konova, PhD (anna.konova@rutgers.edu). Informal inquiries are also welcome. Applicants with a commitment to research and teaching particularly of traditionally underserved students can also apply for the 3-year NIH-funded INSPIRE fellowship to work in the lab.
✔️ @ApplyTime
Ph.D. position in deep learning for signal processing at University of Oldenburg
The Computational Audition Group at the Department of Medical Physics and
Acoustics, University of Oldenburg, Germany, seeks a highly motivated
PhD student
(75 % of full time, TV-L E13, 3 years, with possibility of extension)
in the field of Deep Learning for Signal Processing
Our group investigates audio signal recognition with multi-channel microphone
arrays, identifying important sound sources in real-world acoustic scenes, and
performing source separation to enhance e.g. an attended speech signal.
Applicants for the position must hold an academic university degree (master or
equivalent) in physics, engineering, computer science or a related discipline
and should have knowledge in at least one of the following fields:
- machine learning,
- speech recognition,
- acoustic event detection,
- speech and audio processing.
Excellent knowledge of scientific programming languages such as Python or
MATLAB, as well as excellent English language skills are required.
The position is funded by the newly established DFG collaborative research
centre CRC 1330 "Hearing Acoustics", which aims at improving human communication
in real-world acoustic scenes and is a long-term collaboration of researchers
from Oldenburg, Aachen and Munich. For more information about the CRC see
https://www.uni-oldenburg.de/sfb1330.
The Computational Audition Group is part of the Department of Medical Physics
and Acoustics at University of Oldenburg. We offer an international scientific
environment and world-class research facilities. For more information about the
group and the department see https://uol.de/computational-audition/ and
https://uol.de.de/en/mediphysics-acoustics/.
The University of Oldenburg is dedicated to increase the percentage of women in
science. Therefore, female candidates are strongly encouraged to apply. In
accordance to § 21 Section 3 NHG, female candidates with equal qualifications
will be preferentially considered. Applicants with disabilities will be given
preference in case of equal qualification.
Applications including a CV, a motivation letter, copies of relevant
certificates and the name and contact details of two references should be sent
as single pdf-file to joern.anemueller@uni-oldenburg.de or to
Dr. Jörn Anemüller
Faculty VI
Department of Medical Physics and Acoustics
Universität Oldenburg
D - 26111 Oldenburg
Tel. (+49) 441 798 3610
The application deadline is 28th of November 2018.
✔️ @ApplyTime
The Computational Audition Group at the Department of Medical Physics and
Acoustics, University of Oldenburg, Germany, seeks a highly motivated
PhD student
(75 % of full time, TV-L E13, 3 years, with possibility of extension)
in the field of Deep Learning for Signal Processing
Our group investigates audio signal recognition with multi-channel microphone
arrays, identifying important sound sources in real-world acoustic scenes, and
performing source separation to enhance e.g. an attended speech signal.
Applicants for the position must hold an academic university degree (master or
equivalent) in physics, engineering, computer science or a related discipline
and should have knowledge in at least one of the following fields:
- machine learning,
- speech recognition,
- acoustic event detection,
- speech and audio processing.
Excellent knowledge of scientific programming languages such as Python or
MATLAB, as well as excellent English language skills are required.
The position is funded by the newly established DFG collaborative research
centre CRC 1330 "Hearing Acoustics", which aims at improving human communication
in real-world acoustic scenes and is a long-term collaboration of researchers
from Oldenburg, Aachen and Munich. For more information about the CRC see
https://www.uni-oldenburg.de/sfb1330.
The Computational Audition Group is part of the Department of Medical Physics
and Acoustics at University of Oldenburg. We offer an international scientific
environment and world-class research facilities. For more information about the
group and the department see https://uol.de/computational-audition/ and
https://uol.de.de/en/mediphysics-acoustics/.
The University of Oldenburg is dedicated to increase the percentage of women in
science. Therefore, female candidates are strongly encouraged to apply. In
accordance to § 21 Section 3 NHG, female candidates with equal qualifications
will be preferentially considered. Applicants with disabilities will be given
preference in case of equal qualification.
Applications including a CV, a motivation letter, copies of relevant
certificates and the name and contact details of two references should be sent
as single pdf-file to joern.anemueller@uni-oldenburg.de or to
Dr. Jörn Anemüller
Faculty VI
Department of Medical Physics and Acoustics
Universität Oldenburg
D - 26111 Oldenburg
Tel. (+49) 441 798 3610
The application deadline is 28th of November 2018.
✔️ @ApplyTime
uol.de
Computational Audition
PhD stipends for 2019
STIPENDS A number of attractive PhD stipends in mathematics are available. The starting date for the stipends is the spring or fall of 2019. Candidates are expected to have obtained a Master´s degree, or equivalence thereof, before starting.
The stipends run for 3 years, which is the duration of the PhD program. You can find more information about the PhD program on the homepage https://www.math.ku.dk/english/programmes/ph.d/
The PhD stipends include full tuition and a salary of approximately 3,350 EUR per month before taxes (DKK 300,174 per year) plus pension contributions of 17% of the salary (DKK 41,013 per year). Salary, pension and terms of employment are in accordance with the agreement between the Ministry of Finance and The Academics Central organization.
More Info
✔️ @ApplyTime
STIPENDS A number of attractive PhD stipends in mathematics are available. The starting date for the stipends is the spring or fall of 2019. Candidates are expected to have obtained a Master´s degree, or equivalence thereof, before starting.
The stipends run for 3 years, which is the duration of the PhD program. You can find more information about the PhD program on the homepage https://www.math.ku.dk/english/programmes/ph.d/
The PhD stipends include full tuition and a salary of approximately 3,350 EUR per month before taxes (DKK 300,174 per year) plus pension contributions of 17% of the salary (DKK 41,013 per year). Salary, pension and terms of employment are in accordance with the agreement between the Ministry of Finance and The Academics Central organization.
More Info
✔️ @ApplyTime
www.math.ku.dk
PhD program
The Department of Mathematical Sciences has PhD programs in both Pure and Applied Mathematics, and in Statistics and Actuarial Mathematics.