A two-year fellowship is available in the Bioinformatics Group, Department of Molecular Medicine, Aarhus University, Denmark. The position is available to commence September 1, 2011.
On the one hand, next generation sequencing (
NGS) has made it possible to experimentally interrogate
RNA secondary structure transcriptome-wide. On the other, there is a dramatic increase in the amount of comparative data available for
RNA secondary structure prediction. As part of Centre for Applied Transcriptomics (
http://rna.binf.ku.dk/), the research focus of this position is to improve the annotation of human
RNA structure by integrating the analysis of
NGS-based experimental data and comparative genomics data. Computationally, the focus would likely be on extending existing locally developed phylo-
SCFG-based methods.
The Bioinformatics Group of Associate Professor Jakob Skou Pedersen uses computational methods to characterize non-coding RNAs and cis-regulatory
RNA structures in health and disease. This analysis is based on both comparative genomics data and in-house as well as externally produced
NGS data. The department houses an
NGS facility that includes both GA2 and HiSeq 2000 Illumina sequencers. The computational infrastructure includes an official mirror of the
UCSC Genome Browser and its underlying database (
http://moma.ki.au.dk/genome-mirror/). The group collaborates closely with experimental groups both on experimental genomic screens and validation of specific functional hypothesis on ncRNAs or cis-regulatory structures.
Qualifications
The successful candidate is expected to be involved in both the development of computational methods, their application, data analysis, and experimental collaborations. We seek a highly motivated person, capable of working fairly independently.
For consideration, applicants must:
- Have a PhD in bioinformatics, statistics or a similar field
- Be experienced in handling and analyzing genomic data
- Be experienced with programming and be familiar with LINUX/UNIX
- Have excellent English speaking, reading, and writing skills
- Have published in high-quality international peer-reviewed journals
Skills of additional interest include
- Experience in statistics and probabilistic models/machine learning
- Experience with RNA secondary structure modeling
- Ability to program in C++ and Python
Salary and terms of employment
The successful applicant will be hired as a postdoctoral fellow for an initial 2-year period. The possibility exists for extension of this initial period. While negotiation for salary supplement is possible, the starting salary level is currently
DKK 31.400 a month (approx. US $ 6000) plus contribution to a pension scheme. The conditions of employment are based on the agreement between The Ministry of Finance and The Federation of Graduate Employee Unions. Remuneration will include an additional pension-based bonus of
DKK 37.600 (october-97 level). Non-Danish and Danish applicants may be eligible for tax reductions, if they have not lived in Denmark the last 3 years.
Application procedure
The application should include a curriculum vitae, a full list of the applicant’s scientific publications showing which publications the applicant wishes to be included in the assessment, and information about teaching experience. The assessment committee can decide to include material which has not been in the evaluation. In this event, the applicant will be informed and asked to send the material, or else to withdraw the application.
Applications are encouraged regardless of age, gender, race, religion or ethnic background.
Besides, The Faculty of Health Sciences refers to the following guidelines and memorandums, which can be found at
www.health.au.dk at Nyheder og stillinger → vejledninger:
- Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation.
- Information on qualification requirements and job content is found in Memorandum of Jobstructure for Academic Staff at Danish Universities.
- Guidelines concerning writing an application.
For further details about the position, please contact Associate Professor Jakob Skou Pedersen (
jakob.skou@ki.au.dk).