The University of Bergen (UiB) is an internationally recognised research university with more than 14,000 students and close to 3,500 employees at six faculties. The university is located in the heart of Bergen. Our main contribution to society is excellent basic research and education across a wide range of disciplines.
The Department of Informatics (http://www.uib.no/ii/en) has a vacancy for a research fellow in the field of computational biology. The position is connected to the Computational Biology Unit and the Sea Lice Research Centre (SLRC).
Closing date for applications: 15 August 2014
Project Description
Sea lice such as the salmon louse (*Lepeophtheirus salmonis*) are copepod parasites of ray-finned fish, and as such pose a large challenge to world-wide aquaculture. Recently, the genome of the atlantic salmon louse has been sequenced. In addition, high-throughput sequencing of the transcriptome at different developmental stages and tissues has been carried out.
The project will involve development and application of methods for analysis of high-throughput sequencing data addressing genomic variation and gene expression in sea lice. A map will be made of which genes are expressed at each developmental stage. Also, analyses will be performed to identify genes involved in recognizing the host (salmon) and combating its defence system. The work will be done in tight collaboration with experimental groups within the SLRC.
About You
We are looking for you who has completed a master's degree or equivalent within the field of computational biology, bioinformatics or related fields, or you have just submitted your master's thesis for evaluation. You are proficient in at least one common programming language (e.g. Perl, Python, Java, C++, R). Formal training in computer science, background in statistics, and molecular biology are highly advantageous. Techniques required for this research project include analysis of high-throughput sequencing data to identify genetic variants. Prior experience from working with high-throughput data will be an asset. Competence and experience within statistics and multivariate data analysis will be highly advantageous.
You have the ability to efficiently learn new skills, are highly motivated, responsible, and enthusiastic about research. You are fluent in spoken English and possess excellent writing skills.
We Offer
We can offer a competitive and stimulating work environment mentored by experienced scientists and competitive salary and benefits. Starting salary on grade 50 (code 1017/pay framework 20.8) in the Civil Service pay grade table; currently NOK 421,100 gross p.a. (~EUR 50,000/ USD 68,000 ); following ordinary meriting regulations.
As a research fellow you will also take part in an approved study programme leading to a PhD degree to be completed within a time period of 3 years.
How to Apply
The application must contain a CV, relevant certificates, diplomas and transcripts for both bachelor's and master's degrees, or official confirmation that your master's thesis has been submitted as well as scientific works, including a list of publications. Please apply by clicking the button "Apply for this position", register and complete your application.
Closing date for applications: 15 August 2014
The application should include a brief statement of research interests and motivation, and the names and contact details of at least two referees.
If your diploma, grade transcripts and other documentation are in a language other than a Scandinavian language or English, you must upload certified translations of these.
Additional Information
Additional information on the position can be obtained by contacting Professor Inge Jonassen inge.jonassen@ii.uib.no
