Job:Postdoctoral position in computational genomics and transcriptional regulation, Copenhagen, Denmark
Entering edit mode
9.2 years ago

A 2-years postdoctoral position in Computational Genomics and Transcriptional Regulation is available for a highly motivated candidate in the lab of Robin Andersson in the Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Denmark. The successful candidate is expected to start on July/August 2015 or shortly thereafter.


The Andersson lab is a newly started research group funded by the European Research Council (Horizon 2020). The group focuses on genomics and computational/statistical modeling of transcriptional regulation based on large-scale sequencing data, including experimental data generated from within the lab and data from the FANTOM consortium. We aim to characterize and better understand the architectures and complexities of transcriptional regulation (see e.g. Andersson et al. 2014, Nature) and gain insights into the mechanisms of regulation. We further focus on the fundamental properties of enhancers and promoters (see Andersson 2015, BioEssays) as well as the biogenesis and characteristics of enhancer RNAs (see e.g. Andersson et al. 2014, Nat Comms). For more information, see

The lab is based in a highly collaborative environment in the Bioinformatics Centre in the Section for Computational and RNA Biology, which is currently composed of 11 strong research groups. The Department of Biology is located at the Biocenter in central Copenhagen, Denmark.


The successful candidate is expected to work on projects related, but not limited, to 1) computational modeling of enhancer regulation and genome-wide mapping of enhancer architectures; 2) systematical characterization of these architectures based on large-sale sequencing data and sequence analysis in order to understand what determines their spatio-temporal activity; and 3) assessment of the extent and impact of individual variation and genetic variants in regulatory architectures in order to understand their importance, stochasticity and robustness.


The successful postdoc candidate should have a strong computational and/or statistical background and be capable of analyzing large-scale data. Experiences with DNA or RNA sequencing data, computational modeling, machine learning and/or statistical learning techniques are considered a major plus. Importantly, the candidate should have a strong interest in transcription and transcriptional regulation.

Specifically, the candidate should meet the following requirements:

  • a PhD in Bioinformatics, Computational Biology or in a related quantitative field to be able to quickly acquire Bioinformatics computational skills
  • strong programming and data analytical skills
  • fluent English

The following are not required but considered a plus:

  • documented experience in analyzing high-throughput sequencing data
  • documented expertise in statistical learning and/or machine learning techniques


The application, in English, must be submitted electronically online.

Your application should include the following documents:

  1. A cover letter, including a brief synopsis on research experience and results (max two pages)
  2. Curriculum vitae, including a complete list of publications and the names and contact details of two references

Terms of salary and employment

Terms of appointment and payment in accordance with the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations (AC). The annual Postdoc salary is based on seniority and is currently between 383,400 and 403,670 DKK (plus pension contribution) with the possibility of salary negotiation.

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

The deadline for the application deadline is May 26, 2015.

Applications received after the deadline, or with insufficient documentation or otherwise not complying with the above requirements, may not be considered.

enhancers genomics transcriptomics promoters • 3.0k views

Login before adding your answer.

Traffic: 1902 users visited in the last hour
Help About
Access RSS

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6