PhD Fellow: Probabilistic Programming and Protein Structure Prediction 970 views

PhD fellow in probabilistic programming & protein structure prediction at the Department of Computer Science, Faculty of Science, University of Copenhagen.

Overview

The supervisor, Thomas Hamelryck, has a joint position at the Departments of Computer Science (DIKU) and Biology (BIO). The selected candidate will work multidisciplinary research environment spanning two departments.

Research Areas: Machine learning, deep learning and computational biology

Project description

The project entails using cutting-edge machine learning methods, including probabilistic programming, to the problem of protein structure prediction.

The position is available for a 3-year period and your key tasks as a PhD student at SCIENCE are:

1. To manage and carry through your research project
2. Attend PhD courses
3. Write scientific articles and your PhD thesis
4. Teach and disseminate your research
5. To stay at an external research institution for a few months, preferably abroad
6. Work for the department

Position requirements

1. An MSc degree in Computer Science, Bioinformatics, Physics or Statistics with good results and good English skills.
2. The candidate should have relevant training and experience in machine learning and/or statistics.
3. As criteria for the assessment of your qualifications emphasis will also be laid on previous publications (if any) and relevant work experience.

Fellowship: The starting salary is currently at a minimum DKK 317.459 including annual supplement (+ pension up to DKK 43.852).

Application Procedure

The application, in English, must be submitted electronically (See below).

Documents required:

1. Cover Letter, stating which PhD project you are applying for and detailing your motivation and background for applying for the specific PhD project.
2. CV
3. Diploma and transcripts of records (BSc and MSc)
4. Acceptance Letter for the relevant MSc Program at SCIENCE, if any
5. Other information for consideration, e.g. list of publications (if any),
6. Full contact details (Name, address, telephone & email) of 1-3 professional referees

Contact Person:

Principal supervisor is Assoc. Prof., Thomas Hamelryck, Department of Computer Science, thamelry@binf.ku.dk

Deadline: 31 July 2018