fully funded phd position

PostDoc position in Computer Science, Human Visual System and Medical Imaging

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PostDoc position in Geophysics/Petrophysics

You should have a PhD in geosciences, physics or a related discipline. A solid background in geophysics and petrophysics is required. Knowledge of wave physics and mathematical methods are advantageous. Programming skills in Matlab/Python are beneficial but not mandatory, as training will be offered as necessary. Experience in large scale numerical modeling as well as knowledge of Python/C++ programming language would also be advantageous. The project will be carried out at the GFZ Potsdam (Germany).

The candidate should have a solid background in geophysics and petrophysics. Knowledge of wave physics and mathematical methods are advantageous; programming skills in Matlab/Python are beneficial but not mandatory, as training will be offered as necessary. Experience in large-scale numerical modeling is also required, along with knowledge of Python/C++ programming language.

Postdoc Position-Deep Learning and Neural Computation

This position is for research in the area of deep learning and neural computation. You will be involved in building new models that can learn associations between the brain and body, predict behaviour from neural signals, and predict brain activity from behavioural data. The position will allow you to interact with other deep learning experts at UNSW, as well as neuroscientists and psychologists.

Research Assistantship – PhD position in Computer Science, Human Visual System and Medical Imaging

Qualified candidates are invited to apply for a fully funded PhD position in Computer Science, Human Visual System and Medical Imaging for research on the evolution of medical imaging data visualization algorithms that more closely mimics the mechanisms of the human visual system. This is an exciting opportunity to join a dynamic research team at The University of Texas at Austin, with employment starting from August 2020. Funding will be guaranteed on an annual basis contingent upon satisfactory performance.

This research project aims to advance fundamental understanding of image perception and cognition as impacted by various types of visual noise in medical images. A better understanding of this process could lead to improved acquisition and reconstruction methods that could reduce or eliminate unnecessary radiation exposure, which is particularly important for pediatric patients. The novel computational models developed through this work will provide unprecedented insight into the mathematics involved in generating medical images that efficiently convey diagnostic information while minimizing patient risk from radiation exposure.

The deadline for applications is March 31, 2020; however, we will continue considering applicants until all positions are filled. To apply, please send your CV and brief description of your research interests to Dr. Rongjie Lai (rongjie@utexas.edu). https://www1.cs.utexas.edu/~rongjie/

Research Assistant/Associateship Positions – Network Science Laboratory (NetSciLab)

Description

A 2-year fully funded PhD position is available within the Network Science Laboratory (NetSciLab) directed by Dr. Scott White in the Department of Computer Science at the University of Saskatchewan, Canada. The NetSciLab is an interdisciplinary research group that focuses on developing and applying network science techniques to better understand information and communication processes within, among and across social, biological and technological systems.

Project background

The NetSciLab is looking for a highly motivated candidate with exceptional research skills to work on a project focused on modeling team behavior in complex collaborative environments. Candidates working on this project will have access to data being collected from multi-disciplinary teams working together in simulated disaster events over a 3 year period as part of a larger natural sciences and engineering research council (NSERC) funded grant (PI: Kaber) with additional collaborators based at the Artificial Intelligence Laboratory at Louisiana State University (LSU). This work builds upon preliminary results obtained during two previous NSERC grants (PI: Kaber) where observations were made regarding patterned emergence of leadership networks during collaboration between multiple teams comprised of students from different disciplines that were tasked with solving real world problems in simulated disaster scenarios. The purpose of this grant is to obtain a deeper understanding of the behavioral mechanics associated with leadership emergence through analysis of interaction patterns between members within and between teams using network science concepts such as centrality measures including eigenvector, degree and betweenness centrality for mapping changes in leadership structure over time both within-team and across-team boundaries. Additionally, we are interested in how these emergent structures impact knowledge transfer processes among groups participating in these complex collaborations. Moroever, we are also interested in uncovering what optimal conditions might be required for maximizing leader emergence during collaboration since our previous work showed that team membership diversity impacted leader emergence rates when participants came from different academic backgrounds while minimizing participant heterogeneity resulted in polarizing effects where some participants dominated discussion while others remained largely silent or disengaged from collaboration activities

Research Associate Positions

A PhD Candidate, who will be supervised by Dr. Gang Xu and co-supervised by other faculty members in the Department of Geosciences at Stony Brook University, is sought to work on an interdisciplinary research project focused on understanding climate change impacts on water resources. The successful applicant should have a strong background in hydrology and/or environmental sciences. The candidate is expected to have experience programming in R or python, be able to use GIS software and advanced computing facilities (clusters). Previous experience with remote sensing data analysis is desirable but not required.

“Postdoc in Earthquake Dynamics and Nonlinear Dynamics of the Solid Earth”, University of Cambridge, UK

The candidate will be joining the Earthquake Dynamics and Nonlinear Dynamics of the Solid Earth research group in Cambridge. This position is for a fixed-term duration of three years. The salary range for this position is £32,236 – £39,609 per annum.

To apply for this role and for further details, please go to https://www.jobs.cam.ac.uk/job/20795/.

Informal enquiries about the post can be directed to Dr Salvatore Stramondo (ss793@cam.ac.uk).

The closing date is 17th December 2019, however applications may close earlier should there be a large response or if a suitable candidate has been found before this time so early application is encouraged to avoid disappointment

PhD position in computational medicine

This PhD position is within the Department of Medicine, in the Division of Reproductive and Child Health. The student will be registered at the University of Ghana and will be supervised by Dr. William Amponsah (University of Ghana), Professor John Fraser (University of Edinburgh) and Professor Hannah Blencowe (University of Oxford).

Fully Funded PhD Studentships at Manchester Metropolitan University, UK.

• Application deadline: January 31, 2020
• How to apply: Please submit the following documents via email to [the contact email address] with the subject “Application for PhD Studentships”. Applications sent in any other way will not be considered.
• A cover letter outlining your research experience and interests (maximum one page)
• CV, including a list of publications (if applicable) and contact details of two academic referees
• A copy of your transcripts and degree certificates, including English translations if applicable

It is vital that you also indicate clearly on your application form which position you are applying for. Failure to do so may result in non-consideration of your application. Any queries should be directed to [contact person], including general enquiries about the project or PhD application process.

Many PhD opportunities for students with backgrounds in computer science, geophysics and medicine

Many PhD opportunities are available for students with backgrounds in computer science, geophysics and medicine. These positions offer the chance to pursue your dream career and future at several different universities. With plenty of options to choose from, you’re sure to find a program that matches your interests.

• University of Edinburgh – Opportunities available across a range of disciplines.
• University College London – Many different programs offered with varying deadlines.
• University of Manchester – Offers excellent training opportunities for doctoral students pursuing careers in academia, industry or governmental roles.