PhD Scholarship in Bioinformatics

University of Copenhagen
Copenhagen, Hovedstaden, Denmark
Job Type:
  • PhD
Degree Level Required:
Bachelor's, Masters
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PhD Scholarship in Bioinformatics

Current bioinformatics algorithms and software are often ill-equipped to deal with DNA extracted from fossils. This ancient DNA shows high levels of fragmentation and accumulated chemical damage. Furthermore, recently developed computational methodologies applied to ancient DNA do not scale to hundreds of samples. Fortunately, several problems pertaining to ancient DNA can be described in a maximum-likelihood framework and computer science techniques can help us to solve such numerical problems efficiently via machine learning, numerical algorithms and data structures. The overall aim of this project is to develop the next generation of algorithms and software applied to DNA extract from fossils and forensic samples.

Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU.

We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.

Further information Further information may be obtained from Prof. Gabriel Renaud at: gabre [at]


The candidate will develop algorithms and computational methods to deal with the analysis of large datasets from modern and ancient sources. The bioinformatics section of DTU Health Tech performs research in the areas of different metagenomics, machine learning, cancer genomics and population genomics. Additional information should be obtained by contacting the potential main supervisor directly.


Qualifications In terms of education, candidates should have a two-year master’s degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master’s degree, ideally in computer science, mathematics or biological science with a focus on quantitative and mathematical aspects.

More specifically the candidate should ideally have the following qualifications:

Proficiency in C/C++ or Java or similar (C/C++ is preferred) Knowledge of a scripting language like Python or Perl or similar Ability to work in a UNIX environment, ideally in a high-performance computing environment Thorough understanding of basic algorithms and data structures used in computer science Knowledge of probabilities and statistics Firm grasp of first-year university mathematics (differential calculus/linear algebra) Experience in bioinformatics and knowledge of genomics are a plus Expertise in next-generation sequencing data generation and processing are also a plus The language of communication at DTU is English.