Doctoral candidate (Ph.D. student) in the field of metabolic modeling and machine-learning (M/F)
Université du Luxembourg
Alphonse Weicker, Luxembourg
il y a 4j

Your Role

The Ph.D. student will be a member of the Life Sciences Research Unit (LSRU) at the University of Luxembourg. He / she will work under the supervision of Prof. Dr. Thomas Sauter.

The Ph.D.student will develop tools and methods to integrate patient data suffering from glioblastoma in metabolic models, to stratify patients into disease outcome and to predict a patient-tailored treatment.


  • Write a thesis in the domain of personalized metabolic modeling and drug repositioning
  • Contribute to research in the field of metabolic modeling and machine learning
  • Participate in the research project described above
  • For further information please contact : Professor Thomas Sauter at thomas.sauter

    Your Profile

  • Master’s degree or diploma in biology, systems biology, computational biology or bioinformatics
  • Experience in programming, machine-learning and constraint-based modeling is required. Previous experience in the wet lab is an advantage
  • Knowledge of R and Matlab programming is required
  • Language knowledge : e.g : excellent communication skills in English are mandatory. German and French are an advantage
  • We offer

  • Personal work space at the University
  • Dynamic and multicultural environment
  • Further Information

    Candidates should submit the following documents :

  • Motivation letter
  • Curriculum vitae
  • List of publications (if available)
  • Copies of diplomas
  • 2 reference letters with telephone contacts
  • Please send your application online by 31 / 08 / 2019.

    The University of Luxembourg is an equal opportunity employer.

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