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1 x 1,0 Postdoctoral Researcher (f/m/d)

The Center for Industrial Mathematics (ZeTeM) at the University of Bremen, Germany, is offering (under the condition of job release) a position for a

Postdoctoral Researcher (f/m/d)
in the framework of the BMBF-funded project

Digital Image Analysis and Imaging Mass Spectrometry to Differentiate Non-small Cell Lung Cancer - DIAMANT

Salary corresponds to 100% TV-L E 13, the position is suited for part-time work and will be limited until 31.12.2022.

We seek an excellent, open-minded and team-spirited researcher. We are looking for a scientist interested in mathematical and statistical data analysis and machine learning, as well as in interdisciplinary scientific work and in applying mathematical methods to real-world problems. The candidate will be part of the Center for Industrial mathematics and Faculty of Mathematics & Computer Sciences.

DIAMANT is an interdisciplinary research project at the interface between data science, mathematical modeling, and medical/pathological applications.
MALDI mass spectrometry imaging (MALDI MSI) is an analytical method for the investigation of chemical compounds and macromolecules in biological tissue samples, widely being used in systems biology, pharmacology, biomedical research, and clinical pathology. The project will focus on the differentiation of different tumor types (here lung cancer). The aim is to combine the molecular information provided by MALDI IMS with the detailed anatomical information obtained from stained digital microscopy images. A deep learning methodology will be used to extract information from these multimodal data and an application specific neural network architecture and tailored regularization schemes will be developed.

The DIAMANT consortium consists of the Center for Industrial Mathematics (ZeTeM) at the University of Bremen, the Department of Hematology, Oncology and Rheumatology at Heidelberg University and Proteopath GmbH.

Required skills and expertise

  • A completed PhD in the field of applied mathematics, computer science or a closely related field
  • Experience in mathematical data analysis and machine learning
  • General programming skills, preferably in Python, R, and Matlab
  • Strong interest in interdisciplinary scientific work, in particular affinity with applications in medicine, pathology
  • Ability to work independently and as part of a team
  • Command of English verbal and in writing, together with good academic writing and presentation skills

The University of Bremen follows a diversity strategy. It strives to increase the number of women in the academy and strongly encourages applications from suitably qualified female candidates. International applications and applications of academics with a migration background are explicitly welcome. Disabled persons with the same professional and personal qualifications will be given preference.

Deadline for the application is 31 January 2020. Please send your application (including a CV and certificates) to the contact given below, under the reference number 378/19. Applications and enquiries should be addressed to:

Prof. Dr. Dr. h.c. Peter Maaß
University of Bremen
Center for Industrial Mathematics
P.O. Box 330440
28334 Bremen
or via e-mail to: pmaassprotect me ?!uni-bremenprotect me ?!.de

 

Erstellt am 16.01.20 von Alexandra Gutherz