University of Copenhagen, Denmark offers Fully Funded PhD programs

The programs include PhD position in Trustworthy Machine Learning, PhD Position in Ancient DNA and Palaeoecology of Arctic Marine Mammals, and others.

Study in Denmark: The University of Copenhagen offers cutting-edge research in an international atmosphere. Every year, the university enrols more than 700 new PhD students and these students get a chance to advance their international careers as part of a world-class research team.

There are various fully funded PhD programs available on the official website of the university. Following are some of these programs:

PhD position in Trustworthy Machine Learning

The PhD fellowship in Machine Learning will focus on Trustworthy Machine Learning or learning with imperfect data. The start date is (expected to be) on 1 November 2024, or as soon as possible thereafter. For this, the university is seeking exceptional candidates with expertise in Machine Learning and Statistics. Applicants can be from a diverse range of areas related to machine learning including robust and private machine learning, learning theory, and semi-supervised or self-supervised learning approaches. 

To apply, the candidates 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. Computer Science, Maths, or Statistics. The application deadline is May 13, 2024.

PhD fellowship in Ancient DNA and Palaeoecology of Arctic Marine Mammals at the Globe Institute

The candidates must have qualifications corresponding to a master’s degree related to the subject area of the project, e.g. ancient DNA, palaeoecology, evolutionary ecology, population genomics, or a related field. Please note that your master’s degree must be equivalent to a Danish master’s degree (two-year duration). The last date to apply is May 13, 2024.

Computational researcher / PhD trainee wanted at the Center for Health Data Science

The ideal candidate will be someone who wants to conduct innovative and impactful work at the crossroads of clinical data science, bioinformatics and deep generative modelling – HeaDS has a history of success with such interdisciplinary research projects and they must be excited to take on this challenge.

The Desirable skills/interests include - Programming skills in R, Cloud computing and HPC, Code sharing and collaboration using git/github, Experience with large biomedical/health record datasets, and Experience with deep learning approaches. The application deadline is May 12, 2024.

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