Friday, October 18, 2013

Postdoctoral Research Fellow in Computational Biology at SciLifeLab Sweden


KTH is the largest technical university in Sweden. Education and research cover a broad spectrum within natural sciences and engineering, as well as architecture, industrial engineering and management, urban planning, work science and environmental engineering. KTH has 15000 under-graduate students, 1600 students at doctoral level (third) level and 4300 employees.

The School of Biotechnology at the Royal Institute of Technology offers a curriculum that reflects the multidisciplinary nature of Biotechnology, integrating theoretical and applied science in undergraduate and graduate courses. The school has six departments with about 300 employees, located at AlbaNova University Center, Stockholm and Science for Life Laboratory, Solna. The biotechnology research within the school is internationally well recognized.

About Science for Life Laboratory

SciLifeLab is a national resource center dedicated to large scale bioscientific research with focus on biomedicine, including genome and proteome profiling, bioimaging and bioinformatics. SciLifeLab Stockholm has been formed jointly by the three Stockholm universities, Royal Institute of Technology (KTH), Karolinska Institutet (KI) and Stockholm University (SU), and thus combines the profiles and strengths of these three institutions. Academic research as well as the Swedish health care system and the Swedish Life Science industry will benefit through active collaboration, access to advanced tools and active programs for knowledge transfer. The goal is to achieve critical mass for large-scale life sciences and translational medicine.

Our vision is to make SciLifeLab into a center for large-scale life sciences with an advanced technological infrastructure. The focus is on performing multidisciplinary research involving high throughput DNA sequencing, analysis of gene expression, protein profiling, cellular profiling, advanced bioinformatics, biostatistics and systems biology. SciLifeLab is aimed at enabling researchers to carry out extensive and comprehensive analysis of genes, transcripts and proteins in humans and relevant microbes, such as viruses and bacteria, and to cast light on the complex interplay between different molecular components in living cells, tissues and organs related to human diseases.

Job description

A postdoctoral positions is available in the group of Statististical Biotechnology at Science for Life Laboratory (SciLifeLab) at the Royal Institute of Technology in Stockholm, Sweden. Our lab develops machine learning methods and statistical techniques for interpreting high-throughput experiments. We are looking for an enthusiastic and talented postdoctoral researcher to join our team. The postdoctoral position will involve interpretation of high-throughput biology data by machine learning and statistics. Depending on the interest of the applicant the position may be centered around either (1) Time-series analysis for meta-genomics data (2) Promoter analysis of DNA-methylation data from Type 2 Diabetes patients, or (3) Interpretation of mass spectrometry data.

The successful candidate will have a PhD in statistics, computer science, bioinformatics or related field with a strong quantitative component. Experience with machine learning techniques, GPU programming, and/or the handling large datasets is desirable.

Application

Application should be e-mailed to: rekr@biotech.kth.se

Deadline for application: 2013-11-01
Reference number: B-2013-0328

The application must include following documents:

a letter stating your research experience and interests,
a curriculum vitae including list of publications, and
name and contact information for yourself and two or three references.
Employment

Form of employment: Time-limited
Scope: Full-time
Salary: Salary is available as a one year scholarship with the possibility of renewal.
Start date: Negotiable
Announced positions: 1

Contact

Lukas Käll Associate professor
E-mail: Lukas.Kall@scilifelab.se

Union Representative

Lars Abrahamsson, SACO
Phone: +46 8-790 70 58
E-mail: lars.abrahamsson@ee.kth.se

http://www.kth.se/en/om/work-at-kth/vacancies/postdoctoral-research-fellow-in-computational-biology-at-scilifelab-stockholm-sweden-1.417129