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Job - PhD Scholarship in Bioinformatics of Human Adaptation, University of Copenhagen, Denmark

University of Copenhagen


June 08, 2020

Opportunity Cover Image - Job - PhD Scholarship in Bioinformatics of Human Adaptation, University of Copenhagen, Denmark

PhD Scholarship in Bioinformatics of Human Adaptation

Department of Biology, Faculty of Science at University of Copenhagen is offering a PhD scholarship in bioinformatics of human adaptation using high throughput sequencing commencing 01.08.2020 or as soon as possible thereafter. The 3-year PhD scholarship is available with Associate Professor Anders Albrechtsen in the Section for Computational and RNA Biology, Department of Biology, University of Copenhagen and in collaboration with Carsten Wiuf, Department of mathematics, University of Copenhagen. The successful candidate is expected to work on method development with a focus on graphical models for analysis of genome wide genetic data.

Description of the scientific environment

The position is in the group of Associate Professor Anders Albrechtsen. The group is working in statistical and computational approaches for analysis of genomic data including methods for multi-loci association studies, methods for detecting and correcting for population stratification, detecting selection on disease susceptibility genes, loci dependent methods for modeling identity by descent and various topics for analysis of second generation sequencing.

Job description

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

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

Formal requirements
Requirements for the applicants are:

  • MSc degree in bioinformatics, statistical genetics or a related quantitative field
  • Proficiency in spoken and written English
  • Completed formal courses in basic programming
  • Completed formal courses in analysis of large genetic data sets including NGS data

In addition to these formal requirements, we are looking for a candidate that:

  • has experience and a strong interest in population genetics and statistical genetics 
  • has experience with the programming languages R and C/C++
  • has experience with working in Linux
  • has experience in working with large-scale genetic data, including low depth sequencing data
  • has experience with development of mathematical  methods or algorithms
  • is highly motivated, responsible, and able to work independently in a structured manner
  • has good interpersonal and communication skills

For more information click "LINK TO ORIGINAL" below.

Eligible Countries
Host Country
Study Levels
Job Type
Publish Date
June 04, 2020


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