PhD Student in Computational System Biology - Nextimmune DTU - LCSB AD

NEXTIMMUNE,standing for “Next Generation ImmunoScience: Advanced Concepts for DecipheringAcute and Chronic Inflammation”, is a competitive PhD training program, supported by the doctoralresearch funding scheme PRIDE of the Luxembourg NationalResearch Fund FNR. It aims to bridge classical immunology and big-data analysisscience in a structured doctoral training environment.
29, rue Henri Koch, Esch-sur-Alzette L-4354, Luxembourg
16/10/2018 15:01:48

with up to 4 years fixed-term contract, full-time. Start date flexible from now on until July 2018. Supervisor: Prof. Dr. Antonio del Sol, Computational Biology Group at the Luxembourg Centre for Systems Biomedicine (LCSB) of the University of Luxembourg.

The research-intensive program aims to respond to the unmet need of training the next generation of competent immunologists by tackling next generation immunology challenges from wet lab procedures to big data analyses. We offer an interdisciplinary environment that covers analysis of “omics” and clinical data, as well as basic and translational biomedical knowledge combined with its practical application to diagnosis and ultimately therapy. The program includes transferable skills training, support in career development, scientific lectures by international speakers and annual PhD retreats.

The Luxembourg Centre for Systems Biomedicine (LCSB) was created within the Health Technologies Initiative from the Government of Luxembourg as one of the research priorities of the University of Luxembourg. The LCSB is an Interdisciplinary Centre of the University, independent of the faculties and it combines experimental and computational approaches to analyse complex biological systems and disease processes from a systems biology perspective. The Computational Biology Group (CBG) provides the LCSB with a solid infrastructure in developing theoretical framework for computational modelling on biomedical problems, especially in the area of network biology. The CBG group includes researchers with theoretical, computational and wet lab backgrounds, thereby providing an unusual interdisciplinary environment.

The Computational Biology Group seeks a highly skilled and motivated Ph.D. student to work on an exciting project that aims to combine epigenetics, transcriptomics and phosphoproteomics data to integrate different layers of regulation for understanding cellular disease-related dysregulations in the context of the immune system. In particular, the selected candidate shall develop a computational integrative model of gene regulatory and signalling networks to identify disease-related genes and signalling pathways. This is a collaborative project with the RIKEN institute in Japan, where computational predictions will be experimentally validated in animal models.

Requirements of the ideal candidate:

·         Master degree in computer science, engineering, physics or a related discipline.

·         Strong computational skills.

·         Prior experience in mathematical modelling of biological networks is desired.

·         Experience with computing environments such as R and/or Matlab is an advantage.

·         Excellent working knowledge of English.

 

We offer:

·         Opportunity to do research into biomedical problems within a highly dynamic research institution (LCSB) and in collaboration with internationally recognized partners.

·         An exciting international environment.

·         A very competitive salary

Applications including a motivation letter describing past research experience and future interests, at least two confidential references letters, a full curriculum vitae and a copy of the relevant diplomas showing marks should be sent through the "apply" button before 1 May 2018. Only complete applications will be considered.


Contacts

More specific information on NEXTIMMUNE can be obtained from the program coordinator, Prof Markus Ollert, Director of LIH’s Department of Infection and Immunity: nextimmune.office@lih.lu. For more information on the Research Project, please contact Prof. Dr. Antonio Del Sol : Antonio.delsol@uni.lu