2 PhD Scholarships in Bioinformatics

Technical University of Denmark (DTU)
Copenhagen, Hovedstaden, Denmark
Job Type:
  • PhD
Degree Level Required:
Masters, Bachelor's
Apply Now

2 PhD Scholarships in Bioinformatics

DTU Health Tech is looking for 2 qualified candidates for 2 vacant PhD positions in bioinformatics. In these positions, you will develop algorithms and computational methods to deal with the analysis of large datasets from modern and ancient sources. More specifically, these algorithms will be aimed at analyzing sedimentary DNA and microbial DNA. The bioinformatics section of DTU Health Tech performs research in the areas of different metagenomics, machine learning, cancer genomics and population genomics.

Current bioinformatics algorithms and software are often ill-equipped to deal with DNA extracted from ancient soil samples. This ancient DNA shows high levels of fragmentation and accumulated chemical damage. Furthermore, ancient sediments often contain DNA from multiple species and often multiple individuals. 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 numerical algorithms and data structures. You will work in collaboration with other partners including the University of Copenhagen and McMaster University in order to develop the next generation of algorithms and software applied to DNA extract from fossils, ancient soils and sediments.

Given the COVID19 pandemic, we will happily accommodate requests for remote work until in-person work is deemed safe.

Applicable for all scholarships


Develop algorithms and computational methods to deal with the analysis of large datasets from modern and ancient sources.


Qualifications You must 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, your degree should be in computer science, mathematics or biological science with a focus on quantitative and mathematical aspects.

More specifically you should ideally have the following qualifications:

  • Knowledge of a programming language like Python, Perl, C++ and/or Java (C/C++ is preferred)
  • 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 metagenomics are a plus
  • Expertise in next-generation sequencing data generation and processing are also a plus

The language of communication at DTU is English.