PhD position "Computational Modeling of Radiation Oncology Data"

University of Duisburg-Essen
Bioinformatics and Computational Biophysics
GermanyNRWEssen
www.uni-due.de/zmb/bioinformatics-computational-biophysics/index.php

Description

The advertised position is located at the Center for Medical Biotechnology, Department of Bioinformatics and Computational Biophysics (principal investigator Prof. Daniel Hoffmann). The project is part of the GRK focus area Mathematical and Computational Modelling.

Deadline for applications: June 30, 2022.

The question asked in this project is: Can we develop computational methods that allow us to gain reliable knowledge from experimental or clinical data despite the high level of heterogeneity and complexity of cancers and their responses to radiation and other therapies? At its core, the answer that we envision is a computational toolbox that enables researchers to integrate complex data from our systems of interest in probabilistic models. Such probabilistic models can explicitly account for uncertainty and thus for heterogeneity. The models will be used to study our systems quantitatively by Bayesian inference. Around this central modelling component, further tools can be added for data processing and complementary analyses such as ordination or clustering, resulting in data analysis pipelines for reproducible research in radiation oncology
The Research Training Group GRK 2762 “Heterogeneity, plasticity and dynamics in cancer cell, tumour and normal tissue responses to cancer radiotherapy” offers outstanding internationally-oriented interdisciplinary scientific research and training opportunities for graduates of experimental or computational life sciences and (bio)medicine with interest in basic and translational cancer research and computational biology (www.uni-due.de/med/forschung/grk2762/index.shtml)

We offer

PhD position, paygrade E 13 TV-L, 65%, starting October 2022
Opportunities to conduct cutting-edge interdisciplinary research projects
A stimulating interdisciplinary and internationally-oriented academic environment
Innovative cross-disciplinary scientific training for PhD and MD students at the interface between radiation biology and oncology, precision medicine, and computational biology
Training in transferable academic and soft skills
Funding for active participation in workshops and conferences and international visits to collaboration partners
Regular supervision and mentoring
Excellent career opportunities


Qualifications

Talented and enthusiastic candidates with strong interest in the research topic of GRK 2762
Excellent Diploma/Master degree in Computational Biology, Biostatistics, or related field
Strong motivation and commitment to active cross-disciplinary collaboration
Ability to solve complex problems and to work independently, programming skills
Fluency in spoken and written English (knowledge of German is not a requirement)


Start date

October 01, 2022

How to Apply

Interested candidates should fill the application form available at www.uni-due.de/med/forschung/grk2762/jobs.php and send it together with a curriculum vitae, a copy of all university degrees and other certificates (e.g. on English language skills), together with contact data of two referees (university professors) in a single pdf-file by e-mail to bewerbung@uk-essen.de with subject line “tender number 1231, application GRK 2762/project M1” (or by mail to Universitätsklinikum Essen, Personaldezernat, Hufelandstraße 55, 45147 Essen, Germany).