Within an European H2020 project the Koeppl Lab at the Department of Electrical
Engineering and Information Technology of Technische Universität Darmstadt,
Germany invites applications for a
PhD position – Machine Learning & Causal Inference,
initially limited for 3 years.
The multi-partner project is concerned with the assembly of high-quality
medical and molecular data on paediatric cancers in order to perform
ML/AI-based predictions on patient outcome and drug efficacy. The Koeppl lab
has the lead in this project for the development of algorithms for the
reconstruction of molecular interaction networks from high-throughput
multi-omics data. Emphasis will be placed on probabilistic graphical models and
their use in causal inference. Moreover methods for the inference in larger,
relational networks comprising cell-type information, patient and drug data
should be developed. This will provide the formal basis of the virtual patient
modelling efforts in the consortium.
The PhD student will work on mathematical analysis and method development with
the particular focus on utilizing recent high-dimensional single-cell data.
Moreover, the student will work on algorithms for the incorporation and mining
of structured and unstructured data related to cancer biology into a relational
graph.
Opportunity for further qualification (doctoral dissertation) is given. The
fulfillment of the duties likewise enables the scientific qualifications of the
candidate.
The Technische Universität Darmstadt provides the environment and support for
publishing and presenting original research results at leading international
conferences and in scientific journals.
Your profile:
• M.Sc. in Statistics, Mathematics, Computer Science, Electrical
Engineering or Physics
• ideally, experience in the domain of bioinformatics, especially
analysis of high-throughput data
• appreciation for interdisciplinary work and proactive drive to
collaborate in a team
Application:
Your application must include a cover letter explaining succinctly why you are
interested in this position and why you believe you are the right candidate, a
list of passed courses and obtained grades, a CV and contact details of at
least two references (academic advisors) of yours.
The Technische Universität Darmstadt intends to increase the number of female
employees and encourages female candidates to apply. In case of equal
qualifications applicants with a degree of disability of at least 50 or equal
will be given preference. Wages and salaries are according to the collective
agreements on salary scales, which apply to the Technische Universität
Darmstadt (TV-TU Darmstadt). Part-time employment is generally possible.
Please send your application, incl. the above mentioned documents, as one
single PDF file to: off...@bcs.tu-darmstadt.de
<mailto:off...@bcs.tu-darmstadt.de> indicating the application code number
within the subject line. Incomplete applications and applications in different
file formats will be discarded.
Code No. 483
Application deadline: December 06, 2020_______________________________________________
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