Postdoc in Prediction of T cell interactions

DTU Bioinformatics
Friday 09 Jun 17

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The Department of Bio and Health Informatics at the Technical University of Denmark (DTU) has its main research and teaching activities in bio-medical and bio-technological informatics, metagenomics, epidemiology, quantitative genomics, integrative systems biology and machine learning. Research involves the use of vast amount of phenotypic, clinical, environmental, biological and multi-omic information in humans, animals, plants and microbes.

A postdoctoral position is available in the Immunoinformatics and Machine Learning group headed by Professor Morten Nielsen at the Department of Bio and Health Informatics, DTU Lyngby.

T cells scrutinize the surface of cells for foreign peptides presented in complex with MHC (Major histocompatibility complex) molecules to check if the cell has been infected. T cells utilize a protein called T cell receptor (TCR) to detect foreign peptides. A huge number of TCR exist, each variant recognizing only a small number of peptides. Currently, the rules determining if a TCR reacts to a specific peptide are not well characterized.

Responsibilities and tasks
This project will seek to unravel the rules that determine if a TCR reacts to a specific peptide or not and arrive at a precise understanding of TCR specificity. Using pioneering technology, we will collect unprecedented data concerning binding between TCRs and peptides, and apply NGS sequencing and assembly, advanced machine learning and bioinformatics to this data in order to unravel the rules that dictate TCR specificity.

Qualifications
Candidates should have a PhD degree or equivalent.

Further qualifications:
The successful candidate will have a bioinformatics, biology, or computer science background and must have strong computational skills and prior experience with Unix/Linux command line environments, as well as either C, Perl, Python or a comparable scripting language. The applicant must have a strong background within machine learning, bioinformatics and structural biology. Knowledge of next generation sequence analysis including tools such as MiTCR, ViDJil, or similar and immunology is considered a plus.

We offer
We offer an interesting and challenging job in an international environment focusing on education, research, scientific advice and innovation, which contribute to enhancing the economy and improving social welfare. We strive for academic excellence, collegial respect and freedom tempered by responsibility. The Technical University of Denmark (DTU) is a leading technical university in northern Europe and benchmarks with the best universities in the world.

Salary and terms of employment
The appointment will be based on the collective agreement with the Confederation of Professional Associations. The allowance will be agreed with the relevant union.

Workplace and period of employment
The period of employment is 2 years and 6 months starting from 1 August 2017 or ASAP hereafter.

Further information
Further information may be obtained from Morten Nielsen; mniel@cbs.dtu.dk, tel.: +45 4525 2425.

You can read more about the Department of Bio and Health Informatics on www.bioinformatics.dtu.dk/english

Application procedure
Please submit your online application no later than 1 July 2017. Apply online at www.career.dtu.dk.

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill in the online application form, and attach all your materials in English in one PDF file. The file must include:
  • Application (cover letter)
  • CV
  • Diploma (MSc/PhD)
  • List of publications

Applications and enclosures received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.

DTU Bioinformatics is a new department at DTU formed by the bio and health informatic part of the former Department of Systems Biology. DTU Bioinformatics is operating at the highest level of research, teaching, innovation, and consultancy services within the areas of biotech and health informatics and systems genomics. The department’s activities in the fields of research, teaching, scientific advice, and innovation are centered on the following research areas: health and cancer, immunology, infectious diseases, proteins, molecular biology, and molecular mechanisms, animal health and production, plants and biotechnology and big data infrastructure.

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 5,800 advance science and technology to create innovative solutions that meet the demands of society; and our 10,300 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government, and public agencies.