Job opportunities

At SCC you work in an innovative organisation with an excellent reputation; an organisation in the middle of international technological developments that helps accellerating science. If you wish to set ambitious goals, find freedom and flexibility in your work and continue to develop your personal strengths, then a job at SCC is just the thing for you. We are always happy to receive your application, even if currently no vacancies are listed, a job opening for researchers, administrators, scientific supporters is always around the corner.

Are you interested in working with us? Then send your speculative application to: personal∂scc.kit.edu

Students interested in working as a research assistant or looking for a topic for their master or bachelor thesis are also welcome. Theses can be supervised primarily in computer science or mathematics, but we also have good contacts to other KIT faculties.

SCC

The Scientific Computing Center (SCC) is the Information Technology Centre of KIT. We work in a wide variety of projects with universities, research institutions and companies, both nationally and internationally. Topics range from the analysis of large scale data to data-intensive computing and cloud computing to parallel and numerical methods. We develop and operate innovative IT services as well as large research facilities.

Overview

sprungmarken_marker_9436

Jobs at SCC

4 Doctoral Researchers (f/m/d) in Computational and Data Science
KIT Graduate School Computational and Data Science

Category

Job description

Are you interested in bridging the gap between mathematical sciences on the one side and natural sciences, engineering and economics on the other side?

In this unique doctoral program, you will be able to conduct an interdisciplinary research project that revolves around computational methods such as mathematical models, simulation methods and data science techniques, all the while building bridges between mathematical sciences and an applied discipline.

Addressing global challenges, the school provides a wide variety of topics, from logic in autonomous cyber-physical systems to machine learning in Earth System models.

You will have one supervisor from the mathematical sciences and one from the applied discipline. You will be part of a dynamic community and participate in the school’s interdisciplinary training program, including hands-on training in small groups, summer schools, networking events and hackathons/datathons.

Send your application if you can see the potential in thinking simulations and data together and if you are ready to conquer the data driven challenges of tomorrow!

We provide an inspiring, attractive, interdisciplinary, and internationally recognized scientific environment with access to excellent facilities of the KIT, an interdisciplinary training program and flexible working time models.

KIT aims at the implementation of equal opportunities, it promotes diversity and supports persons with childcare or eldercare responsibilities as well as persons with disabilities.

Personal qualification

The following qualifications are required:

  • Master or an equivalent degree in mathematical sciences or a SEE discipline (natural sciences, engineering, economics) received no later than the starting date of your doctoral studies
  • We expect good writing and oral communication skills in English.

 

More details Apply

Offers for students

Doctoral theses, final theses, master's theses and bachelor's theses

  1. The Data Analytics, Access and Applications (D3A) department offers master's and bachelor's theses
  2. The Data Exploitation Methods (DEM) department offers graduate and doctoral theses
  3. The research group Methods for Big Data(MBD) offers master theses
  4. The Scientific Computing & Mathematics(SCM) department offers master's and bachelor's theses
  5. The Uncertainty Quantification (UQ) research group offers master's and bachelor's theses

Mentoring program for female STEM students

The new mentoring program Warp4IT "Women as research peers for Information Technology" aims to give female STEM students an insight into the working life of female scientists through project work.
female scientists through project work. Further information: Women's Network

Student assistants wanted

  1. Offers in the department Data Analytics, Access and Applications(D3A)
  2. Offers of the research group Methods for Big Data (MBD)
  3. Offers in the department Networks and Telecommunications
  4. Offers in the department Scientific Computing & Simulation