The Andersson lab is looking to recruit up to two highly motivated and talented PhD students to join our group working on computational biology with a strong focus on enhancers and transcriptional regulation. The successful candidates are expected to start during spring 2017.
The lab of Robin Andersson focuses on genomics and computational/statistical modeling of transcriptional regulation based on large-scale sequencing data, including experimental data generated from within the lab. We aim to characterize and better understand the architectures and complexities of transcriptional regulation (see e.g. Andersson et al. 2014, Nature, http://dx.doi.org/10.1038/nature12787) and gain insights into the mechanisms of regulation. We further focus on the fundamental properties of enhancers and promoters (see e.g. Andersson et al. 2015, Trends Genet, http://dx.doi.org/10.1016/j.tig.2015.05.007) as well as the biogenesis and characteristics of enhancer RNAs (see e.g. Andersson et al. 2014, Nat Comms, http://dx.doi.org/10.1038/ncomms6336). For more information, see http://anderssonlab.org
The correct function of regulatory elements and their interplay are essential for the precisely coordinated transcriptional activities within a cell. Disrupted regulatory activities may therefore have detrimental effects leading to disease. However, most variants have no or an only weakly associated trait and, in general, the impact of genetic variants on regulation is not well understood. Therefore, using our established transcription-based method to assess activities of regulatory elements and the associations between them, we aim to systematically characterize human regulatory variation and its consequences. We further aim to infer models describing the function of a regulatory element and its importance, and thus the impact on regulation upon disruption.
The successful candidates are expected to work on projects related, but not limited, to 1) computational modeling of enhancer regulation and genome-wide mapping of enhancer architectures; and 2) 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 candidates should have a computational and/or statistical background and experience with analysis of large-scale data. Experiences with DNA or RNA sequencing data, genotyping data, statistical genetics, 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 candidates should meet the following requirements:
- A MSc in Bioinformatics, Computational Biology or in a related quantitative field to be able to quickly acquire Bioinformatics computational skills
- Excellent programming and data analytical skills
- Fluent English
The following are not required but considered a plus:
- Documented expertise in statistical learning and/or machine learning techniques
- Documented experience in the analysis of functional genetic variation
Place of employment
The Andersson 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, University of Copenhagen, is located at the Biocenter in central Copenhagen, Denmark. Read more about the Andersson lab at http://anderssonlab.org.
Applicants are requested to submit their application below including:
- A letter of motivation, including a brief synopsis on research experience and results (max two pages). Applications with generic cover letters will not be considered
- Curriculum vitae, including education, work/research experience, language skills and other skills relevant for the position as well as the names and contact details of two references (max two pages)
- Master thesis (final or in draft)
- A certified/signed copy of Master of Science certificate. If the MSc is not completed, a written statement from the supervisor will do
- Transcripts of grades
After the expiry of the deadline for application, the authorized recruitment manager selects applicants for assessment on the advice of the interview committee. All applicants are then immediately notified whether their application has been passed for assessment by an expert assessment committee. Selected applicants are notified of the composition of the committee and each applicant has the opportunity to comment on the part of the assessment that relates to the applicant himself/herself.
The final selection of successful candidates will be made by the Head of Department, based on the recommendations of the assessment committee. Successful candidates will then be requested to formally apply for enrolment as a PhD student at the PhD school of the Faculty of Science, University of Copenhagen. For more information see: http://www.science.ku.dk/english/research/phd
Terms of employment
Terms of appointment and payment are in accordance with the agreement between the Danish Ministry of Finance and the Danish Federation of Professional Associations (AC). The starting salary for candidates with an MSc degree will be a minimum of DKK 309,109 (April 2016 level) plus pension contribution, with the possibility of salary negotiation.
The University of Copenhagen wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background.
The scholarship require a Master's degree in Bioinformatics or a field providing equivalent qualifications (see above), at the time of taking up the position. The appointment is for a period of 3 years and is expected to lead to a PhD dissertation. More details about studying at University of Copenhagen may be found at www.science.ku.dk/english/research/phd/; information about studying in Denmark may be found at ism.ku.dk/
Deadline for applications is January 20, 2017 (Midnight GMT).
Applications received after the deadline, or with insufficient documentation or otherwise not complying with the above requirements, may not be considered.
For further information about the positions please contact Assistant Professor Robin Andersson at email email@example.com