The Max Planck Research Network on Big-Data-Driven Materials Science (BiGmax) invites applications for a Postdoctoral Researcher in Data Analytics.
About the position:
- The selected candidate will advise and consult BiGmax scientists (newcomers as well as all participating groups) on the various flavors of machine learning and data mining (e.g. random forest, kernel ridge regression, support vector machines, neural networks, compressed sensing, and more) with regards to their specific research problems.
- The coordination of a central analytics toolbox serving the various BiGmax projects will be part of your responsibilities.
Requirements:
- Applicant must have a strong background in both, data analytics and materials science and possess a strong ability for organizing scientific collaborations.
Duration: 02 years, prolongation is possible.
Application:
- Application material to be sent as one pdf-file to [email protected] including:
- Motivation letter
- CV
- Contact details of at least two references
- Job Code: BiGmax
| —————–Quick Overview————- | |
| Organization | Max Planck Research Network on Big-Data-Driven Materials Science (BiGmax) |
| Country | Germany |
| Fellowship Level | Postdoctoral |
| Subject areas | Solid State Research & Material Sciences Computer Science |
| Fellowship amount | Varies |
| Eligibility | Open to all nationalities |
| Deadline | Varies |
| ———————————— | |