Applicants are invited to apply for a postdoctoral associate position in applied mathematics at Australian National University. Candidates are welcome before January 14, 2019.
Position overview
The Research School of Earth Sciences (RSES) at the Australian National University (ANU) invites applications for a Postdoctoral Fellow/ Research Fellow in inverse geodynamics. The goal is a reconstruction of the thermo-chemical state of Earth’s mantle, in space and time. The position will focus upon the computational development, validation and application of inverse methods that allow present-day and time-dependent observations to be propagated backward through geological history, together with their uncertainties.
The position will be based at RSES, under the supervision of Dr Rhodri Davies. The successful applicant will also work closely with Prof. Malcolm Sambridge and Dr Andrew Valentine, and will interact with the National Computational Infrastructure (NCI), based at the ANU.
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Position overview
The Research School of Earth Sciences (RSES) at the Australian National University (ANU) invites applications for a Postdoctoral Fellow/ Research Fellow in inverse geodynamics. The goal is a reconstruction of the thermo-chemical state of Earth’s mantle, in space and time. The position will focus upon the computational development, validation and application of inverse methods that allow present-day and time-dependent observations to be propagated backward through geological history, together with their uncertainties.
The position will be based at RSES, under the supervision of Dr Rhodri Davies. The successful applicant will also work closely with Prof. Malcolm Sambridge and Dr Andrew Valentine, and will interact with the National Computational Infrastructure (NCI), based at the ANU.
More Info
✔️ @ApplyTime
jobs.anu.edu.au
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Post-doctoral Fellowship in ML and Lung Imaging, University of British Columbia, Vancouver, Canada
Post-doctoral Fellowship at the Centre for Heart and Lung Innovation at St Paul’s Hospital, University of British Columbia, and the Department of Radiology and School of Biomedical Engineering, University of British Columbia
Salary: Commensurate with qualifications and experience
Program: Machine Learning for Image Analysis in Lung Disease
A post-doctoral position with one-year term and extendable for another year with satisfactory progress is available immediately for a highly motivated recent PhD graduate to join an interdisciplinary collaborative research team at the UBC Center for Heart Lung Innovation (HLI). The position will be focused on machine learning for the characterization of imaging biomarkers in chronic obstructive pulmonary disease (COPD) and associated diseases.
The research fellow will work under the supervision of James Hogg, MD, PhD, an Emeritus Professor in the Department of Pathology at the University of British Columbia, Senior Investigator at the HLI located at St Paul’s Hospital, and member of the Canadian Medical Hall of Fame, and Roger Tam, PhD, an Associate Professor in the Department of Radiology and School of Biomedical Engineering, University of British Columbia.
The research will involve the development and application of machine learning methods to the analysis of structural and histopathological images of the lung to enhance the biological understanding of COPD and associated diseases. Machine learning approaches will be used to discover and link imaging biomarkers across multiple scales and imaging modalities.
Eligibility: Highly motivated individuals with a recent PhD in computer science, biomedical engineering, or related field, a strong publication record, and excellent academic credentials are encouraged to apply. Demonstrated familiarity with a range of machine learning methods, including ensemble learning methods such as random forests and feature learning methods such as deep learning, and expertise in the application of such methods to image analysis are required. Experience with biomedical imaging data is preferred. UBC hires on the basis of merit and is committed to employment equity. We encourage all qualified persons to apply. However, Canadians and permanent residents of Canada will be given priority.
Duration: 1 year with possible extension for a second year.
Contact: Please submit a cover letter, curriculum vitae, transcripts from formal post-secondary school education, and the names and full contact information for three professional references. The cover letter should include a description of your previous research experience and long-term career goals. Send electronic applications by December 21, 2018 to roger.tam@ubc.ca.
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Post-doctoral Fellowship at the Centre for Heart and Lung Innovation at St Paul’s Hospital, University of British Columbia, and the Department of Radiology and School of Biomedical Engineering, University of British Columbia
Salary: Commensurate with qualifications and experience
Program: Machine Learning for Image Analysis in Lung Disease
A post-doctoral position with one-year term and extendable for another year with satisfactory progress is available immediately for a highly motivated recent PhD graduate to join an interdisciplinary collaborative research team at the UBC Center for Heart Lung Innovation (HLI). The position will be focused on machine learning for the characterization of imaging biomarkers in chronic obstructive pulmonary disease (COPD) and associated diseases.
The research fellow will work under the supervision of James Hogg, MD, PhD, an Emeritus Professor in the Department of Pathology at the University of British Columbia, Senior Investigator at the HLI located at St Paul’s Hospital, and member of the Canadian Medical Hall of Fame, and Roger Tam, PhD, an Associate Professor in the Department of Radiology and School of Biomedical Engineering, University of British Columbia.
The research will involve the development and application of machine learning methods to the analysis of structural and histopathological images of the lung to enhance the biological understanding of COPD and associated diseases. Machine learning approaches will be used to discover and link imaging biomarkers across multiple scales and imaging modalities.
Eligibility: Highly motivated individuals with a recent PhD in computer science, biomedical engineering, or related field, a strong publication record, and excellent academic credentials are encouraged to apply. Demonstrated familiarity with a range of machine learning methods, including ensemble learning methods such as random forests and feature learning methods such as deep learning, and expertise in the application of such methods to image analysis are required. Experience with biomedical imaging data is preferred. UBC hires on the basis of merit and is committed to employment equity. We encourage all qualified persons to apply. However, Canadians and permanent residents of Canada will be given priority.
Duration: 1 year with possible extension for a second year.
Contact: Please submit a cover letter, curriculum vitae, transcripts from formal post-secondary school education, and the names and full contact information for three professional references. The cover letter should include a description of your previous research experience and long-term career goals. Send electronic applications by December 21, 2018 to roger.tam@ubc.ca.
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Postdocs and Research Engineers: DBL Lab – TU Delft
Delft Blockchain-lab
DBL has been established in 2017, and is funded by the Executive Board of the university as a strategic investment in research and valorization in blockchain technology. DBL involves researchers in the Faculties of Electrical Engineering, Mathematics and Computer Science (EEMCS), Technology, Policy and Management (TPM), and Applied Sciences (AS) of TU Delft.
The Delft Blockchain Lab is one of the largest blockchain labs in Europe, combining the work of 8 professors. Its mission is to lay the foundation for a long-term research line in blockchain and trust in the Internet.
DBL actively pursues collaborations with partners in society and industry, and outreach to the general public. For instance, it collaborates with the Port of Rotterdam, the Ministry of the Interior, ING Bank, and the Authority Financial Markets. Similarly as DBL, these are all members of the Dutch Blockchain Coalition (https://www.dutchdigitaldelta.nl/blockchain), which has its home base on the campus of TU Delft.
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Delft Blockchain-lab
DBL has been established in 2017, and is funded by the Executive Board of the university as a strategic investment in research and valorization in blockchain technology. DBL involves researchers in the Faculties of Electrical Engineering, Mathematics and Computer Science (EEMCS), Technology, Policy and Management (TPM), and Applied Sciences (AS) of TU Delft.
The Delft Blockchain Lab is one of the largest blockchain labs in Europe, combining the work of 8 professors. Its mission is to lay the foundation for a long-term research line in blockchain and trust in the Internet.
DBL actively pursues collaborations with partners in society and industry, and outreach to the general public. For instance, it collaborates with the Port of Rotterdam, the Ministry of the Interior, ING Bank, and the Authority Financial Markets. Similarly as DBL, these are all members of the Dutch Blockchain Coalition (https://www.dutchdigitaldelta.nl/blockchain), which has its home base on the campus of TU Delft.
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Postdoctoral Student in Biology at Lund University
Project description
Ecosystem-based climate adaptations involve sustainable management of ecosystems to help humans adapt to climate change. To mitigate coastal erosion by using green infrastructure we will study the effects of two green actions in this project; beach nourishment and re-implantation of eelgrass meadows at four case study sites in southern Sweden. We look to understand how the effects of these measures contribute to increased biodiversity, decreased wave energy and increased cultural ecosystem services at these locations.
Southern Sweden is particularly vulnerable to rising sea levels. As winds from the west are becoming more common and pushing water towards the coast, Skåne and Halland will be further exposed to floods, as storms and precipitation will increase. However, in Denmark and Netherlands where they experience the same problems – beach nourishment and introducing eelgrass meadows has proven to be a successful method. The Swedish Geotechnical Institute, Sweden's national coordinator on coastal erosion, proposes combining beach nourishment with introducing vegetation on land and sea. The proposed project on how we can protect our coastal areas with green infrastructure, has a clear link with citizens and actors involved in spatial planning processes. The project is multidisciplinary and involves partnership between natural science, social science, geotechnology, engineers, the citizens and public administration on all levels.
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Project description
Ecosystem-based climate adaptations involve sustainable management of ecosystems to help humans adapt to climate change. To mitigate coastal erosion by using green infrastructure we will study the effects of two green actions in this project; beach nourishment and re-implantation of eelgrass meadows at four case study sites in southern Sweden. We look to understand how the effects of these measures contribute to increased biodiversity, decreased wave energy and increased cultural ecosystem services at these locations.
Southern Sweden is particularly vulnerable to rising sea levels. As winds from the west are becoming more common and pushing water towards the coast, Skåne and Halland will be further exposed to floods, as storms and precipitation will increase. However, in Denmark and Netherlands where they experience the same problems – beach nourishment and introducing eelgrass meadows has proven to be a successful method. The Swedish Geotechnical Institute, Sweden's national coordinator on coastal erosion, proposes combining beach nourishment with introducing vegetation on land and sea. The proposed project on how we can protect our coastal areas with green infrastructure, has a clear link with citizens and actors involved in spatial planning processes. The project is multidisciplinary and involves partnership between natural science, social science, geotechnology, engineers, the citizens and public administration on all levels.
More Info
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Mynetworkglobal
PhD Student in Biology
Project description Ecosystem-based climate adaptations involve sustainable management of ecosystems to help humans adapt to climate change. To mitigate coastal erosion by using green infrastructure we will study the effects of two green actions in this project;…
Postdoc Position in Human Regulatory T Cell Immunology, Imperial College London
The purpose of the post is to recruit a passionate, self-motivated and dynamic postdoctoral Research Associate to join Dr. Dominguez-Villar’s laboratory at Imperial College London, UK. Our research focuses on understanding the molecular mechanisms that maintain human regulatory T cell identity and plasticity and the regulation of CD4+ T cell responses in autoimmune and infectious disease settings. We have recently defined key signalling...
Job listing information
Reference MED00940
Date posted 7 December 2018
Closing date 18 January 2019
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The purpose of the post is to recruit a passionate, self-motivated and dynamic postdoctoral Research Associate to join Dr. Dominguez-Villar’s laboratory at Imperial College London, UK. Our research focuses on understanding the molecular mechanisms that maintain human regulatory T cell identity and plasticity and the regulation of CD4+ T cell responses in autoimmune and infectious disease settings. We have recently defined key signalling...
Job listing information
Reference MED00940
Date posted 7 December 2018
Closing date 18 January 2019
More Info
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Imperial College London
Research Associate in Human Regulatory T Cell Immunology
The purpose of the post is to recruit a passionate, self-motivated and dynamic postdoctoral Research Associate to join Dr. Dominguez-Villar’s laboratory at Imperial College London, UK. Our research focuses on understanding the molecular mechanisms that maintain…
PhD Studentship in Multiscale Modelling of Interacting Particle Systems (Fixed Term)
Applications are invited for a three-year PhD student position in Applied Mathematics to work with Dr Maria Bruna at the Department of Applied Mathematics and Theoretical Physics (DAMTP). The studentship is funded by Dr Bruna's Royal Society Research Fellow Enhancement Award. The project involves the derivation of kinetic models of stochastic systems of interacting particles, with specific focus on accounting for excluded-volume interactions between particles.
The post is available from October 2019 and is open to EU and UK nationals. The PhD Studentship offered is fully funded for three years (to include University Composition Fees and maintenance for the duration of your course to RCUK minimum level).
Applicants should hold or be about to achieve a First or Upper-Second (2.i) class degree in mathematics or related field. The candidate must be capable of performing independent research and have good communication skills.
This project will involve stochastic modelling of particle-based models, asymptotic methods and numerical solution of partial differential equations (PDEs). Knowledge of probability theory, PDEs, and C++ and Python programming is desired.
Scientific enquiries apart from the formal application should be directed to Dr Maria Bruna at LE17628@maths.cam.ac.uk.
To apply please submit:
(i) a formal PhD application to DAMTP via the Cambridge Graduate Admissions Office, with Dr Bruna identified as the prospective supervisor. Further details on how to apply are available online: http://www.graduate.study.cam.ac.uk/how-do-i-apply.
(ii) a supporting statement explaining why you are interested in this studentship to be sent to LE17628@maths.cam.ac.uk.
Deadline: The deadline for submission for both the formal application and expression of interest is 31 January 2019.
Please quote reference LE17628 on your application and in any correspondence about this vacancy.
The University values diversity and is committed to equality of opportunity. The Department would particularly welcome applications from women, since women are, and have historically been, underrepresented on our student cohort.
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Applications are invited for a three-year PhD student position in Applied Mathematics to work with Dr Maria Bruna at the Department of Applied Mathematics and Theoretical Physics (DAMTP). The studentship is funded by Dr Bruna's Royal Society Research Fellow Enhancement Award. The project involves the derivation of kinetic models of stochastic systems of interacting particles, with specific focus on accounting for excluded-volume interactions between particles.
The post is available from October 2019 and is open to EU and UK nationals. The PhD Studentship offered is fully funded for three years (to include University Composition Fees and maintenance for the duration of your course to RCUK minimum level).
Applicants should hold or be about to achieve a First or Upper-Second (2.i) class degree in mathematics or related field. The candidate must be capable of performing independent research and have good communication skills.
This project will involve stochastic modelling of particle-based models, asymptotic methods and numerical solution of partial differential equations (PDEs). Knowledge of probability theory, PDEs, and C++ and Python programming is desired.
Scientific enquiries apart from the formal application should be directed to Dr Maria Bruna at LE17628@maths.cam.ac.uk.
To apply please submit:
(i) a formal PhD application to DAMTP via the Cambridge Graduate Admissions Office, with Dr Bruna identified as the prospective supervisor. Further details on how to apply are available online: http://www.graduate.study.cam.ac.uk/how-do-i-apply.
(ii) a supporting statement explaining why you are interested in this studentship to be sent to LE17628@maths.cam.ac.uk.
Deadline: The deadline for submission for both the formal application and expression of interest is 31 January 2019.
Please quote reference LE17628 on your application and in any correspondence about this vacancy.
The University values diversity and is committed to equality of opportunity. The Department would particularly welcome applications from women, since women are, and have historically been, underrepresented on our student cohort.
✔️ @ApplyTime
www.postgraduate.study.cam.ac.uk
Applying for postgraduate courses at Cambridge | Postgraduate Study
How to apply for postgraduate study at Cambridge, including PhD and Masters courses. Find out more about the graduate application process.
PhD Scholarship on Data-driven E-commerce Order Fulfillment, Eindhoven University of Technology
The School of Industrial Engineering is one of the longest-established IE Schools in Europe, with a strong presence in the international research and education community, especially in the field of Operations Management and Operations Research. OM and OR are part of the core of the undergraduate IE program. The graduate programs (MSc and PhD) in Operations Management & Logistics attract top-level students from all over the world. Researchers in the school are member of the Beta research school and participate in industrial activities with members of the European Supply Chain Forum and consortia of research projects.
The group Operations, Planning, Accounting and Control (OPAC) conducts research in the area of Operations Management, with specific emphasis on
Inventory control/Supply chain management
Design and control of manufacturing networks
Transportation management
Maintenance optimization and reliability engineering
Sustainable operations management
More Info
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The School of Industrial Engineering is one of the longest-established IE Schools in Europe, with a strong presence in the international research and education community, especially in the field of Operations Management and Operations Research. OM and OR are part of the core of the undergraduate IE program. The graduate programs (MSc and PhD) in Operations Management & Logistics attract top-level students from all over the world. Researchers in the school are member of the Beta research school and participate in industrial activities with members of the European Supply Chain Forum and consortia of research projects.
The group Operations, Planning, Accounting and Control (OPAC) conducts research in the area of Operations Management, with specific emphasis on
Inventory control/Supply chain management
Design and control of manufacturing networks
Transportation management
Maintenance optimization and reliability engineering
Sustainable operations management
More Info
✔️ @ApplyTime
jobs.tue.nl
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The TU/e is constantly looking for scientific and non-scientific staff further its ambitions. View here our current vacancies.
Apply Time Positions pinned «Dear all, To be a member of this channel you are not obliged to share these positions with others. But, to keep the channel alive, we need to grow. So, if you would like to receive new positions to make your future, let's try to grow together. We would…»
5 Doctoral Researcher Positions - DYNAMICS
The Research Training Group 2458 "The Dynamics of Demography, Democratic Processes and Public Policy" (DYNAMICS) invites applications for 5 Doctoral Researcher Positions. DYNAMICS provides doctoral researchers with a unique and internationally competitive three-year PhD programme in cutting-edge quantitative methods and advanced theories of demography, democracy and public policy. It is a joint endeavour of the Department of Social Sciences at Humboldt-Universität zu Berlin and the Hertie School of Governance and funded by the German Research Foundation. Doctoral positions will start in September 2019 and remuneration is based on Grade E13 TVL (65%) of the German Public Salary Scale.
DYNAMICS studies how demographic changes transform democratic processes, how policy decisions are made to address demographic challenges and how public policies influence demographic developments. Dissertation projects should fall into at least one of the three Research Pillars of the Research Training Group:
1. Demography and democratic processes
2. Demography and public policy
3. Public policy and its effect on demographic behaviour
Qualification and requirements
Applications by highly qualified graduates from the fields of Political Science, Sociology, Demography, Public Policy or other related Social Sciences who already have a high level of quantitative methods training, are welcome. Candidates must hold a Master’s degree (or equivalent) in one of the aforementioned subjects or be very close to completion.
Application
Please submit your application including the following materials until 7 January 2019 in one PDF file to this Email in the following order:
Application materials
Letter of motivation (maximum 1 page)
10-page dissertation proposal
Certificates and transcripts of grades from each academic programme attended so far. MA degree (or equivalent) has to be completed before 31 August.
Statement of methods skills (maximum 1 page)
CV
TOEFL Test with score of at least 250 (computer-based) or 600 (paper-based) or 100 (internet-based)
Two letters of recommendation (must be sent separately as PDF files to this Email by the referees)
Two writing samples
The name(s) of two potential dissertation advisors
All files must be merged into one single PDF file. The maximum file size is 6 MB.
The Call for Applications can be downloaded here.
More Info
✔️ @ApplyTime
The Research Training Group 2458 "The Dynamics of Demography, Democratic Processes and Public Policy" (DYNAMICS) invites applications for 5 Doctoral Researcher Positions. DYNAMICS provides doctoral researchers with a unique and internationally competitive three-year PhD programme in cutting-edge quantitative methods and advanced theories of demography, democracy and public policy. It is a joint endeavour of the Department of Social Sciences at Humboldt-Universität zu Berlin and the Hertie School of Governance and funded by the German Research Foundation. Doctoral positions will start in September 2019 and remuneration is based on Grade E13 TVL (65%) of the German Public Salary Scale.
DYNAMICS studies how demographic changes transform democratic processes, how policy decisions are made to address demographic challenges and how public policies influence demographic developments. Dissertation projects should fall into at least one of the three Research Pillars of the Research Training Group:
1. Demography and democratic processes
2. Demography and public policy
3. Public policy and its effect on demographic behaviour
Qualification and requirements
Applications by highly qualified graduates from the fields of Political Science, Sociology, Demography, Public Policy or other related Social Sciences who already have a high level of quantitative methods training, are welcome. Candidates must hold a Master’s degree (or equivalent) in one of the aforementioned subjects or be very close to completion.
Application
Please submit your application including the following materials until 7 January 2019 in one PDF file to this Email in the following order:
Application materials
Letter of motivation (maximum 1 page)
10-page dissertation proposal
Certificates and transcripts of grades from each academic programme attended so far. MA degree (or equivalent) has to be completed before 31 August.
Statement of methods skills (maximum 1 page)
CV
TOEFL Test with score of at least 250 (computer-based) or 600 (paper-based) or 100 (internet-based)
Two letters of recommendation (must be sent separately as PDF files to this Email by the referees)
Two writing samples
The name(s) of two potential dissertation advisors
All files must be merged into one single PDF file. The maximum file size is 6 MB.
The Call for Applications can be downloaded here.
More Info
✔️ @ApplyTime
The Swedish Institute Scholarships for Global Professionals (SISGP) programme provides a number of full scholarships for master’s programmes in Sweden. The programme is open to applicants from selected countries on the OECD/DAC list who have work and leadership experience. The programme offers a unique opportunity for global leaders to develop professionally and academically, to experience Swedish society and culture and to build a long-lasting relationship with Sweden and each other.
Read more about the scholarship, eligibility and how to apply at the Swedish Institute’s website.
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Read more about the scholarship, eligibility and how to apply at the Swedish Institute’s website.
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Study in Sweden
Swedish Institute Scholarships for Global Professionals | Study in Sweden
The Swedish Institute Scholarships for Global Professionals (SISGP) is awarded to ambitious global professionals for full-time master's studies in Sweden.
Marie Curie PhD on Mathematics for Big Data
OPEN POSITIONS for two early-career creative mathematicians, who should have strong theoretical and practical skills, to carry out research with ISR (http://welcome.isr.tecnico.ulisboa.pt/), IST's Mathematics Department (https://math.tecnico.ulisboa.pt), and industrial partners.
The candidates will be enrolled in the Doctoral Programme in Statistics and Stochastic Processes and will study and develop advanced algorithms for bigdata processing, in the frame of the BIGMATH project (Marie Curie ITN H2020, http://itn-bigmath.unimi.it/), with emphasis on the following topics:
Distributed optimization of biokinetic models based on large 4D sequences with 3Lateral Studio which produces biokinetic models of the human form in computer graphics. 3Lateral is also building a database of such models through 3D and 4D scanning for statistical modelling and machine learning.
Credit scoring and statistical prediction of credit default with SDG Group a global consulting firm with a broad focus on data analytics, and Center for Investments and Finance a leading developer of risk management and compliance solutions for commercial and governmental solutions.
Read more about the conditions and required qualifications to apply, until December 31st, here: https://bit.ly/2DMa2jQ
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OPEN POSITIONS for two early-career creative mathematicians, who should have strong theoretical and practical skills, to carry out research with ISR (http://welcome.isr.tecnico.ulisboa.pt/), IST's Mathematics Department (https://math.tecnico.ulisboa.pt), and industrial partners.
The candidates will be enrolled in the Doctoral Programme in Statistics and Stochastic Processes and will study and develop advanced algorithms for bigdata processing, in the frame of the BIGMATH project (Marie Curie ITN H2020, http://itn-bigmath.unimi.it/), with emphasis on the following topics:
Distributed optimization of biokinetic models based on large 4D sequences with 3Lateral Studio which produces biokinetic models of the human form in computer graphics. 3Lateral is also building a database of such models through 3D and 4D scanning for statistical modelling and machine learning.
Credit scoring and statistical prediction of credit default with SDG Group a global consulting firm with a broad focus on data analytics, and Center for Investments and Finance a leading developer of risk management and compliance solutions for commercial and governmental solutions.
Read more about the conditions and required qualifications to apply, until December 31st, here: https://bit.ly/2DMa2jQ
✔️ @ApplyTime
Institute For Systems and Robotics
A dynamic hub of interdisciplinary research.
Specialists in Robotics and Information Processing, with applications in a broad spectrum of domains, including neurosciences, big data, marine, terrestrial, aerial & space robotics.
Specialists in Robotics and Information Processing, with applications in a broad spectrum of domains, including neurosciences, big data, marine, terrestrial, aerial & space robotics.
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⚠️ همانطوری که قبلا هم تاکید شد، پیشنهاد میکنیم برای بالابردن امنیت گوشی خود از نسخههای رسمی تگلرام که در لینک زیر معرفی شدند استفاده کنید.
⚠️⚠️ کاربرانی تصویر زیر رو برای ما فرستادن که گویی خود تلگرام به کاربرانی که از نسخههای غیر رسمی استفاده میکنند امروز هشدار امنیتی داده است!
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https://xn--r1a.website/ApplyTime/4427
🔗 لینک دانلود نسخههای رسمی تلگرام:
https://xn--r1a.website/ApplyTime/4418
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⚠️⚠️ کاربرانی تصویر زیر رو برای ما فرستادن که گویی خود تلگرام به کاربرانی که از نسخههای غیر رسمی استفاده میکنند امروز هشدار امنیتی داده است!
🔗 لینک تصویر:
https://xn--r1a.website/ApplyTime/4427
🔗 لینک دانلود نسخههای رسمی تلگرام:
https://xn--r1a.website/ApplyTime/4418
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⚠️ هشدار امروز تلگرام به کاربرانی که از نسخههای غیر رسمی تلگرام استفاده میکنند!
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The Digital Life Initiative (DLI) is accepting applications for postdoctoral fellows whose work aligns with DLI’s focus on societal perspectives on digital technologies, focusing on key ethical and political issues, such as privacy, accountability, access, security, and fairness
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My university is hiring in AI & ML this year. Please apply! The link and ad are below.
The School of Computer Science in the Gallogly College of Engineering at the University of Oklahoma is entering an exciting period of growth opportunities in various research areas combined with its large undergraduate and graduate programs. We invite applications for two tenure-track faculty positions at the rank of assistant professor in the areas of artificial intelligence, machine learning, high-performance computing, and/or network science. Candidates must hold a Ph.D. degree in computer science or related fields and have the ability to teach courses at all levels, including advising M.S. and Ph.D. students. Our school offers B.S., M.S., and Ph.D. degrees in computer science, and M.S. degrees in data science and analytics in conjunction with the School of Industrial & Systems Engineering.
Qualifications
• A doctoral degree in computer science or any related discipline.
• Proven research record and potential to attract funding in areas of AI/ML, High-Performance Computing, and/or Network Science
• Candidates should also have the ability to teach courses at all levels and advice M.S. and Ph.D. students.
Application Instructions
Apply at: http://apply.interfolio.com/58861
The application package should include 1) a single-page cover letter explaining your interest in this program, 2) a curriculum vitae, 3) teaching and research statements, 4) 1-2 papers that best represent research contributions and scholarship, and 5) a list of at least three references.
Review of applications will begin January 30, 2019, and continue until the position is filled.
Equal Employment Opportunity Statement
The University of Oklahoma, in compliance with all applicable federal and state laws and regulations does not discriminate on the basis of race, color, national origin, sex, sexual orientation, genetic information, gender identity, gender expression, age, religion, disability, political beliefs, or status as a veteran in any of its policies, practices, or procedures. This includes, but is not limited to: admissions, employment, financial aid, housing, services in educational programs or activities, or health care services that the University operates or provides.
--------------------------------------------------------
Dr. Amy McGovern
Professor, School of Computer Science
Adjunct Professor, School of Meteorology
University of Oklahoma
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The School of Computer Science in the Gallogly College of Engineering at the University of Oklahoma is entering an exciting period of growth opportunities in various research areas combined with its large undergraduate and graduate programs. We invite applications for two tenure-track faculty positions at the rank of assistant professor in the areas of artificial intelligence, machine learning, high-performance computing, and/or network science. Candidates must hold a Ph.D. degree in computer science or related fields and have the ability to teach courses at all levels, including advising M.S. and Ph.D. students. Our school offers B.S., M.S., and Ph.D. degrees in computer science, and M.S. degrees in data science and analytics in conjunction with the School of Industrial & Systems Engineering.
Qualifications
• A doctoral degree in computer science or any related discipline.
• Proven research record and potential to attract funding in areas of AI/ML, High-Performance Computing, and/or Network Science
• Candidates should also have the ability to teach courses at all levels and advice M.S. and Ph.D. students.
Application Instructions
Apply at: http://apply.interfolio.com/58861
The application package should include 1) a single-page cover letter explaining your interest in this program, 2) a curriculum vitae, 3) teaching and research statements, 4) 1-2 papers that best represent research contributions and scholarship, and 5) a list of at least three references.
Review of applications will begin January 30, 2019, and continue until the position is filled.
Equal Employment Opportunity Statement
The University of Oklahoma, in compliance with all applicable federal and state laws and regulations does not discriminate on the basis of race, color, national origin, sex, sexual orientation, genetic information, gender identity, gender expression, age, religion, disability, political beliefs, or status as a veteran in any of its policies, practices, or procedures. This includes, but is not limited to: admissions, employment, financial aid, housing, services in educational programs or activities, or health care services that the University operates or provides.
--------------------------------------------------------
Dr. Amy McGovern
Professor, School of Computer Science
Adjunct Professor, School of Meteorology
University of Oklahoma
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University Health Network, Canada is looking for an experienced Postdoctoral Fellow in Biomedical Engineering at Toronto Rehabilitation Research Institute. Machine learning expertise is preferred for this position.
Please refer to the following job advertisement for more details: https://www.recruitingsite.com/csbsites/uhncareers/JobDescription.asp?SiteID=10031&JobNumber=835089
Apply directly to Dr. Andrea Iaboni (andrea.iaboni@uhn.ca) or from the above website.
regards
Shehroz Khan
Scientist,
Toronto Rehabilitation Institute,
University Health Network,
Canada
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Please refer to the following job advertisement for more details: https://www.recruitingsite.com/csbsites/uhncareers/JobDescription.asp?SiteID=10031&JobNumber=835089
Apply directly to Dr. Andrea Iaboni (andrea.iaboni@uhn.ca) or from the above website.
regards
Shehroz Khan
Scientist,
Toronto Rehabilitation Institute,
University Health Network,
Canada
✔️ @ApplyTime
Applications are invited for a three-year postdoctoral fellowship at Leiden University (the Netherlands) under the mentorship of Dr Lotte van Dillen and Dr Henk van Steenbergen as part of a larger collaboration with Prof. Wilhelm Hofmann (University of Bochum). The project “Work hard, play hard. Neuropsychological correlates and behavioral implications of hedonic compensation” is funded under the Open Research Area scheme and aims to advance a new framework to understand the phenomenon of hedonic compensation. We are looking for an enthusiastic researcher who would like to build her/his career in the field of experimental psychology and affective neuroscience. Please consult the following link for further infomation: https://www.universiteitleidennl/vacatures/2018/wk41-52/8-530-5990-postdoc-on-the-neural-mechanisms-of-hedonic-compensation-1
Dr. Henk van Steenbergen
Assistant Professor
Institute of Psychology - Leiden University
✔️ @ApplyTime
Dr. Henk van Steenbergen
Assistant Professor
Institute of Psychology - Leiden University
✔️ @ApplyTime
Postdoc Position in Artificial Intelligence/machine Learning for Medical Imaging
We are seeking to appoint a Research Associate to develop scalable and robust artificial intelligence and machine learning techniques for the analysis and interpretation of medical images and related clinical data. The development of the artificial intelligence (AI) and machine learning (ML) will enable faster and early diagnosis, automation of expensive and time-consuming manual reporting, enhanced patient screening and stratification for optimal treatment. Ultimately, this will support a major redesign of clinical pathways to improve outcomes and efficiency.
The successful candidate will work as part of the newly-established London Medical Imaging & Artificial Intelligence Centre, a new network funded by Innovate UK and the EPSRC. The London Medical Imaging & Artificial Intelligence Centre has been established to improve NHS patient care and health outcomes, reduce healthcare costs and support the growth of companies, supporting the economy. Its aim is to apply artificial intelligence technologies to medical imaging (for example, MRI scans, CT scans, PET scans and ultrasound). The Centre is a collaboration between three excellent universities (King's, Imperial and QMUL), four leading NHS trusts as well as companies (Siemens, NVIDIA, IBM, GSK) as well as a number of UK-based SMEs in the area healthcare-based AI.
You will be part of the Biomedical Image Analysis Group based at the South Kensington campus. The mission of the group is to develop novel, computational techniques for the analysis of biomedical images. For further information on the group see: http://biomedic.doc.ic.ac.uk/. The Group is part of the Department of Computing at Imperial College London which is a leading department of Computer Science in the UK.
More Info
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We are seeking to appoint a Research Associate to develop scalable and robust artificial intelligence and machine learning techniques for the analysis and interpretation of medical images and related clinical data. The development of the artificial intelligence (AI) and machine learning (ML) will enable faster and early diagnosis, automation of expensive and time-consuming manual reporting, enhanced patient screening and stratification for optimal treatment. Ultimately, this will support a major redesign of clinical pathways to improve outcomes and efficiency.
The successful candidate will work as part of the newly-established London Medical Imaging & Artificial Intelligence Centre, a new network funded by Innovate UK and the EPSRC. The London Medical Imaging & Artificial Intelligence Centre has been established to improve NHS patient care and health outcomes, reduce healthcare costs and support the growth of companies, supporting the economy. Its aim is to apply artificial intelligence technologies to medical imaging (for example, MRI scans, CT scans, PET scans and ultrasound). The Centre is a collaboration between three excellent universities (King's, Imperial and QMUL), four leading NHS trusts as well as companies (Siemens, NVIDIA, IBM, GSK) as well as a number of UK-based SMEs in the area healthcare-based AI.
You will be part of the Biomedical Image Analysis Group based at the South Kensington campus. The mission of the group is to develop novel, computational techniques for the analysis of biomedical images. For further information on the group see: http://biomedic.doc.ic.ac.uk/. The Group is part of the Department of Computing at Imperial College London which is a leading department of Computer Science in the UK.
More Info
✔️ @ApplyTime
Imperial College London
Research Associate in Artificial Intelligence/Machine Learning for Medical Imaging
We are seeking to appoint a Research Associate to develop scalable and robust artificial intelligence and machine learning techniques for the analysis and interpretation of medical images and related clinical data. The development of the artificial intelligence…
Dear all,
We are looking for 2 researchers to join the Music and Audio Research Laboratory (MARL) at New York University:
1 postdoctoral research associate to work on machine listening for urban sound analysis as part of the Sounds of New York City (SONYC) project, a large NSF-funded project that aims to monitor, analyze, and mitigate urban noise pollution. For details and applications instructions, visit https://apply.interfolio.com/58662
1 postdoctoral associate / research engineer to work on two new urban sensing platforms (acoustic and multi-modal) in New York City as part of both the Sounds of New York City (SONYC) and the Reconfigurable Environmental Intelligence Platform (REIP) projects. Both MS and PhD are encouraged to apply. For details and application instructions, visit https://apply.interfolio.com/58665
Both positions are for 2 years with $70K starting salaries plus benefits. The successful candidates for both positions will join the Music and Audio Research Laboratory (MARL) and the Center for Urban Science and Progress (CUSP) at New York University, working as part of a team led by Juan Pablo Bello.
MARL is concerned by the lack of diversity in our field, and would like to strongly encourage applications from women and others from communities traditionally underrepresented in computer science and engineering research.
The deadline for applications is January 31, 2019, but we will continue to accept applications until the position is filled.
Questions should be directed to:
Mark Cartwright (mark.cartwright@nyu.edu) for the machine listening position
Charlie Mydlarz (cmydlarz@nyu.edu) for the sensing position
✔️ @ApplyTime
We are looking for 2 researchers to join the Music and Audio Research Laboratory (MARL) at New York University:
1 postdoctoral research associate to work on machine listening for urban sound analysis as part of the Sounds of New York City (SONYC) project, a large NSF-funded project that aims to monitor, analyze, and mitigate urban noise pollution. For details and applications instructions, visit https://apply.interfolio.com/58662
1 postdoctoral associate / research engineer to work on two new urban sensing platforms (acoustic and multi-modal) in New York City as part of both the Sounds of New York City (SONYC) and the Reconfigurable Environmental Intelligence Platform (REIP) projects. Both MS and PhD are encouraged to apply. For details and application instructions, visit https://apply.interfolio.com/58665
Both positions are for 2 years with $70K starting salaries plus benefits. The successful candidates for both positions will join the Music and Audio Research Laboratory (MARL) and the Center for Urban Science and Progress (CUSP) at New York University, working as part of a team led by Juan Pablo Bello.
MARL is concerned by the lack of diversity in our field, and would like to strongly encourage applications from women and others from communities traditionally underrepresented in computer science and engineering research.
The deadline for applications is January 31, 2019, but we will continue to accept applications until the position is filled.
Questions should be directed to:
Mark Cartwright (mark.cartwright@nyu.edu) for the machine listening position
Charlie Mydlarz (cmydlarz@nyu.edu) for the sensing position
✔️ @ApplyTime
Post-doc position in Causal Inference for Geosciences
We are looking for outstanding postdoc candidates with a strong interest in machine learning and geosciences to cover a post-doc position in the Image and Signal Processing (ISP) group in the Universitat de Valencia, Spain, http://isp.uv.es. The position is fully funded by an ERC Consolidator Grant 2015-2020 entitled "Statistical Learning for Earth Observation Data Analysis" (SEDAL), http://isp.uv.es/sedal.html, under the direction of Prof. Gustau Camps-Valls.
*** The project and job description
This particular position is focused on learning causal models to explain complex interactions in essential climate variables and remote sensing observations, and discover hidden essential drivers and confounding factors in Climate/Geo Sciences applications.
*** Who
Highly motivated researchers with a PhD degree in computer science, statistics, machine learning, electrical engineering, physics, or mathematics are encouraged to apply. All candidates should have a solid understanding and knowledge of machine learning and statistics, and being particularly interested in remote sensing and/or geoscience problems. Good programming skills (Matlab/Python/R/C++), a critical and organized sense for data analysis, as well as commitment, strong communication, presentation and writing skills are a big plus.
*** Application details
- Deadline: Send your application as soon as possible. Positions will be filled as soon as we have the right candidate!
- How? Send me: 2-pages CV, and a list of your 3 most representative papers
- Who: PhD in maths, physics, machine learning, or related disciplines. Also, we care about the gender issue!
- How long? 1+1 years contract
- How much? Salary according to UV scales including social security, health insurance benefits, and travel money
- Where? Valencia, Spain, Mediterranean city, nice weather, hike and beach. Excellent cost-of-living index = 55
-------------------------------------------
Prof. Gustau Camps-Valls
Image Processing Laboratory (IPL)
Universitat de València
Tlf: +34 963 544 064
http://isp.uv.es
✔️ @ApplyTime
We are looking for outstanding postdoc candidates with a strong interest in machine learning and geosciences to cover a post-doc position in the Image and Signal Processing (ISP) group in the Universitat de Valencia, Spain, http://isp.uv.es. The position is fully funded by an ERC Consolidator Grant 2015-2020 entitled "Statistical Learning for Earth Observation Data Analysis" (SEDAL), http://isp.uv.es/sedal.html, under the direction of Prof. Gustau Camps-Valls.
*** The project and job description
This particular position is focused on learning causal models to explain complex interactions in essential climate variables and remote sensing observations, and discover hidden essential drivers and confounding factors in Climate/Geo Sciences applications.
*** Who
Highly motivated researchers with a PhD degree in computer science, statistics, machine learning, electrical engineering, physics, or mathematics are encouraged to apply. All candidates should have a solid understanding and knowledge of machine learning and statistics, and being particularly interested in remote sensing and/or geoscience problems. Good programming skills (Matlab/Python/R/C++), a critical and organized sense for data analysis, as well as commitment, strong communication, presentation and writing skills are a big plus.
*** Application details
- Deadline: Send your application as soon as possible. Positions will be filled as soon as we have the right candidate!
- How? Send me: 2-pages CV, and a list of your 3 most representative papers
- Who: PhD in maths, physics, machine learning, or related disciplines. Also, we care about the gender issue!
- How long? 1+1 years contract
- How much? Salary according to UV scales including social security, health insurance benefits, and travel money
- Where? Valencia, Spain, Mediterranean city, nice weather, hike and beach. Excellent cost-of-living index = 55
-------------------------------------------
Prof. Gustau Camps-Valls
Image Processing Laboratory (IPL)
Universitat de València
Tlf: +34 963 544 064
http://isp.uv.es
✔️ @ApplyTime