Doctoral Candidate - Machine Learning

School/Institution:University of Luxembourg, Luxembourg, Esch-sur-Alzette

Discipline: Machine Learning

Employment Type:Full-time

Posted:2019-08-05

Contact Person:If you wish to apply for this position, please specify that you saw it on AKATECH.tech

Doctoral candidate (Ph.D. student) in the field of metabolic modeling and machine-learning

The University of Luxembourg is a multilingual, international research university.

The University of Luxembourg invites applications for its Faculty of Science, Technology and Communication (FSTC) the following vacancy in the Life Sciences Research Unit:

Doctoral candidate (Ph.D. student) in the field of metabolic modeling and machine-learning (M/F)

Ref. F1-070019

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.

Activities

  • 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@uni.lu

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

Contact Person: If you wish to apply for this position, please specify that you saw it on AKATECH.tech

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