PhD position in Bioinformatics (fully funded)

Institution/Company:
University of Oslo
Location:
Oslo, -, Norway
Job Type:
  • PhD
Degree Level Required:
Masters
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PhD position in Bioinformatics (fully funded)

In Norway, PhD students are treated as university employees and have regular work contracts. There is no tuition fee. The contract includes insurance, attractive welfare benefits and a generous pension agreement. The starting salary is NOK 491 200 – 534 400 per year (equivalent to ~72,000 CAD, or ~50000 EUR per year).

More about the project: The DNA in the nucleus is folded in three dimensions (3D). This folding is critical for the orchestration of gene expression during development, differentiation and tissue homeostasis, and for the balance between healthy and pathological states. However, most genomic information is only represented linearly on the chromosomes, limiting our ability to understand and ultimately treat diseases like cancer.

The URGE-3D project aims at unraveling new links between 3D genome reorganization and cancer development and progression. Specifically, the successful candidate will develop new computational tools to study 3D genome organization at unforeseen resolution and accuracy. Further, the candidate will analyze already generated in-house datasets from Hi-C and related high-throughput genomics experiments to shed new light on how the 3D genome is altered and reorganized in cancer cells.

The candidate will be supervised within the recently established research group of Associate Professor Jonas Paulsen, the group consists of a postdoc, two PhD students, and three master students. An additional postdoc will also be recruited as part of the same project. The candidate will take part in further developing the bioinformatics software developed in the group [Nature Protoc. 2018; Nature Genetics 2019]. The focus of the group is to understand how the 3D organization of DNA inside the nucleus relates to critical functions in the eukaryotic cell, such as gene expression regulation and the cell cycle. We use computational modeling, statistical analyses and machine learning to elucidate evolutionary trajectories and functional relationships across cell-types, tissues and species.

Responsibilities:

Research

Qualifications:

We seek a highly motivated candidate, with the following formal qualifications:

  • Master’s degree (or equivalent) in bioinformatics, computational biology, genomics or a related field
  • Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
  • Proficiency in performing bioinformatics analyses
  • Proficiency in programming (Preferably Python and/or C++)
  • Experience with analysis of genomics and multiomics data, including data from high-throughput sequencing techniques
  • Excellent English written and verbal communication skills

The following qualifications will be considered desirable:

  • Experience with Hi-C, ChIP-seq and/or ATAC-seq data analysis
  • Experience with UNIX/Linux and Bash/Shell scripting
  • Knowledge of statistical data analysis and/or machine learning, including the use of R
  • Experience with the use of high-performance computing (HPC) systems