The Center for Basic Machine Learning Research in Life Science (MLLS) gathers machine learning researchers from the Departments of Biology and Computer Science, University of Copenhagen (UCPH) and DTU Compute, the Technical University of Denmark (DTU). It is funded by the Novo Nordisk Foundation (NNF) through their Data Science Initiative. The Center aims to conduct world class research in machine learning methodology that simultaneously addresses important problems for applications in life science and has a wider relevance for machine learning.
The PhD scholarships will start on November 1st 2021 or as soon as possible thereafter. Enrollment and employment will be at one of the three involved departments with joint co-supervision across the departments.
Description of the scientific environment
More information about MLLS can be found here. All PhD students and postdocs of the participating PIs will take part in joint Center group meetings, seminar series and workshops. PhD candidates will have the opportunity to spend time within both machine learning and life science research groups as well as participate in activities within ELLIS and the NNF Data Science Academy.
The PhD programme
Qualifications needed for the PhD programme
To be eligible for the regular PhD programme, you must have completed a degree programme, equivalent to a Danish master’s degree (180 ECTS/3 FTE BSc + 120 ECTS/2 FTE MSc) related to the subject area of the project, e.g. biology with specialization in molecular biology, biochemistry, molecular biomedicine. For information of eligibility of completed programmes, see General assessments for specific countries and Assessment database.
Terms of employment in the regular programme
Employment as PhD fellow is full time and for maximum 3 years.
Employment is conditional upon your successful enrolment as a PhD student at the PhD School at the Faculty of SCIENCE, University of Copenhagen. This requires submission and acceptance of an application for the specific project formulated by the applicant.
The terms of employment and salary are in accordance to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State (AC). The position is covered by the Protocol on Job Structure.
Salary range starts at DKK 27,788.69 per month incl. PhD supplement (1 April 2021 level).
The employment area will be the University of Copenhagen or at the Technical University of Denmark
Responsibilities and tasks in the PhD programme
- Carry through an independent research project under supervision
- Complete PhD courses corresponding to approx. 30 ECTS/ ½ FTE
- Carry out dissemination and teaching activities
- Participate in active research environments, including a stay at another research institution, preferably abroad
- Teaching and knowledge dissemination activities
- Write scientific papers aimed at high-impact journals
- Write and defend a PhD thesis on the basis of your project
We are looking for the following qualifications:
- The grade point average achieved
- Professional qualifications relevant to the PhD project
- Relevant publications
- Relevant work experience
- Other relevant professional activities
- Language skills
The master’s degree should preferably be in computational science and engineering (CSE), computer science, statistics, pure/applied mathematics, physics, bioinformatics or equivalent academic qualifications. Preference will be given to candidates who are excited about basic research, have an interest in the mathematical foundations of machine learning and have experience with mathematical modelling and the programming and tools (e.g., PyTorch/TensorFlow) needed to apply these models to real data. Furthermore, good command of the English language is essential.
Deadline: 31 August 2021.