20 PhD Student Positions at i2TRON Program

i2TRON is a highly innovative PhD training programon “integrating immune strategies for Translational Research in Oncology and Neurology” and is supported by theLuxembourg National Research Fund (FNR) within their PRIDE program.

i2TRON aims to advance our mechanistic insight into failures of the immune system across diverse disease areas including cancer, neurodegeneration, autoimmunity and allergy. Such insights will lead to discoveries of new biomarkers and therapeutic targets of NCDs, and facilitate translation into novel treatment strategies to advance research innovations, and to turn new mechanistic insight into diagnostic and therapeutic strategies to improve patient care.

20 PhD STUDENT positions are available with up to 4 years fixed-term contracts, full-time.

Among these, 4 positions are available for medical doctors in an MD-PhD program that can also be filled part-time over 6.5 years to allow for a parallel specialty training.

Earliest start date will be January 1st, 2021 after a comprehensive and competitive selection process starting in September 2020. The program includes individualized transferable skills training, career development programs, opportunities for international conference visits, internships in partner institutions regular scientific lectures by leading international speakers and annual PhD retreats.

PhD candidates will conduct their research projects in a highly interdisciplinary environment at either LIH, the UL, the CHL or the LNS. All PhD candidates will be enrolled at the University of Luxembourg or – for a limited number of projects in collaboration with the Department of Clinical Research - at the University of Southern Denmark.

‍The program will allow the candidates to obtain a PhD degree in Systems and Molecular Biomedicine or Health Sciences with a focus on:

> Cancer Biology and Precision Medicine

> Immuno-Oncology

> Allergy Immunotherapy

> Anaphylaxis

> Neurodegeneration

> Microbiome/Metabolism

> Patient-based Disease Modelling