PhD Position – Machine Learning & Causal Inference at TU Darmstadt

PhD Position – Machine Learning & Causal Inference at TU Darmstadt

Within an European H2020 project the Koeppl Lab at the Department of Electrical  
Engineering and Information Technology of Technische Universit?t 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 Universit?t Darmstadt provides the environment and support for  
publishing and presenting original research results at leading international  
conferences and in scientific journals.  
  
Your profile:
         o M.Sc. in Statistics, Mathematics, Computer Science, Electrical  
Engineering or Physics
         o ideally, experience in the domain of bioinformatics, especially  
analysis of high-throughput data  
         o 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 Universit?t 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 Universit?t  
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: office@bcs.tu-darmstadt.de  
<mailto:office@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: January 06, 2020

[ 本帖最后由 stephenyang 于 2020-12-8 18:48 编辑 ]

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