Jobs

We are always looking for outstanding individuals for Ph.D. and postdoctoral research.

Please send your application including motivation letter, CV and contact details of at least three references in one single PDF to

Also internships for a few months at our lab are possible.

Please understand that we cannot respond to all applications for open positions within BCS.

Detailed information about international affairs at TU Darmstadt you can find here

 
 
 

Postdoc Position – Statistical network inference

Within the EU project iPC “individualized Paediatric Cure: Cloud-based virtual-patient models for precision paediatric oncology” the Koeppl Lab at Technische Universität Darmstadt, Germany invites applications, starting as soon as possible, for a

Postdoc Position – Statistical network inference

initially limited for 2 years, with the possibility to extend.

The goal of the project iPC is the assembly and standardization of high-quality multi-disciplinary data on paediatric cancers that will be made accessible to researchers and clinicians through a cloud-based platform. The data will be used to construct predictive models for paediatric cancer patients, tumours, and treatments. To accomplish these goals, an interdisciplinary team consisting of basic, translational, and clinical researchers is working together on this H2020 funded project. The Koeppl lab has the lead in this EU project for the integration of multi-omics data, cell-type information, patient and drug data into a queryable data structure based on a relational graph. This will provide the basis of the virtual patient modelling efforts.

The postdoctoral fellow will work on method development for the inference of regulatory networks from high-throughput omics data, based on techniques from probabilistic graphical models and causality analysis. Moreover, algorithms for the incorporation and mining of structured and unstructured data related to cancer biology into knowledge graphs will be developed. The fellow will be given the opportunity to co-advise PhD students in the lab.

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:

  • Completed Ph.D. studies in Statistics, Mathematics, Computer Science, Electrical Engineering or Physics
  • Ideally, experience in the domain of bioinformatics, especially analysis of high-throughput data
  • A good publication record from Ph.D. studies
  • 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 CV
  • contact details of at least two references (academic advisors) of yours.

Technische Universität Darmstadt intends to increase the number of female researchers and encourages female candidates to apply. In case of equal qualifications applicants with a degree of disability of 50 or more 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.

Contact: Prof. Heinz Koeppl, Rundeturmstrasse 12, 64283 Darmstadt, heinz.koeppl@bcs.tu-darmstadt.de

Please send your documents as one single PDF file to: indicating the application code number within the subject line. Incomplete applications and applications in different file formats will be discarded.

Application code: iPC-Postdoc

Deadline: 30.10.2020

PhD position – Statistical network inference

Within the EU project iPC “individualized Paediatric Cure: Cloud-based virtual-patient models for precision paediatric oncology” the Koeppl Lab at Technische Universität Darmstadt, Germany invites applications, starting as soon as possible, for a

PhD position – Statistical network inference

limited for 3 years.

The goal of the project iPC is the assembly and standardization of high-quality multi-disciplinary data on paediatric cancers that will be made accessible to researchers and clinicians through a cloud-based platform. The data will be used to construct predictive models for paediatric cancer patients, tumours, and treatments. To accomplish these goals, an interdisciplinary team consisting of basic, translational, and clinical researchers is working together on this H2020 funded project. The Koeppl lab has the lead in this EU project for the integration of multi-omics data, cell-type information, patient and drug data into a queryable data structure based on a relational graph. This will provide the basis of the virtual patient modelling efforts.

The PhD student will work on method development for the inference of regulatory networks from high-throughput omics data, based on techniques from probabilistic graphical models and causality analysis. Moreover, algorithms for the incorporation and mining of structured and unstructured data related to cancer biology into knowledge graphs will be developed.

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
  • contact details of at least two references (academic advisors) of yours.

Technische Universität Darmstadt intends to increase the number of female researchers and encourages female candidates to apply. In case of equal qualifications applicants with a degree of disability of 50 or more 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.

Contact: Prof. Heinz Koeppl, Rundeturmstrasse 12, 64283 Darmstadt, heinz.koeppl@bcs.tu-darmstadt.de

Please send your documents as one single PDF file to: 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.

Application code: iPC PhD 2020

Deadline: 30.10.2020