PhD Student in Computational Immunology - Nextimmune DTU - LCSB JG
29, rue Henri Koch, Esch-sur-Alzette L-4354, Luxembourg
NEXTIMMUNE, standing for “Next Generation
ImmunoScience: Advanced Concepts for Deciphering Acute and Chronic
Inflammation”, is a competitive PhD training program, supported by the doctoral research funding scheme PRIDE of the Luxembourg
National Research Fund FNR. It aims to bridge classical immunology and big-data
analysis science in a structured doctoral training environment. NEXTIMMUNE is opening.
One Phd Position is available in the Systems Control Group of the University of Luxembourg, in the framework of the NextImmune Doctoral Training. The PhD project will focus on “prediction of causal regulatory interaction networks based on large-scale time-series data”.
Fixed-term contract 14 months, renewable depending on thesis progress evaluation (Project funding available for up to 48 months with a competitive salary).
Start date : ASAP and before July 2019.
Student and employee status
Supervisor: Prof. Jorge Goncalves, Systems Control Group at the Luxembourg Centre for Systems Biomedicine (LCSB) of the University of Luxembourg.
“Prediction of causal regulatory interaction networks based on large-scale time-series data”
The Systems Control Group at the University of Luxembourg focuses on network inference, which means to address the inverse problem consisting in inferring from time-series data the topology and properties of the underlying network which generated the data. This project is inserted within the framework of the interdisciplinary Doctoral Training Unit NextImmune (https://www.lih.lu/page/nextimmune-dtu). Data will be obtained from another group at LIH, and the role of the PhD candidate is to use that data and established computational tools to identify potential regulatory causality between genes in Th2 cells. This will provide a directed network of cause-effect relationship between measurements (genes).
- Hold (or being about to obtain) a Master degree in Mathematics, Theoretical Physics, Control Systems Engineering, Theoretical Machine Learning or related fields.
- Strong mathematical background is a requirement. Biological knowledge is not essential.
- We will only consider students that graduate in their top 20% undergraduate and Master’s class rank (equivalent to a UK first class degree).
- Excellent working knowledge of English.
Applications (to be sent online only) should contain the following documents: Only complete applications will be considered. Review of applicants will begin immediately and will continue until the position is filled.
Applications (to be sent online only) should contain the following documents:
Only complete applications will be considered.
Review of applicants will begin immediately and will continue until the position is filled.