ID 507/2022 - Research Associate (m/f/d) Mathematics / Computer Science focussing on Machine Learning and Artificial Intelligence

Faculty 1 School of Engineering – Energy and Infomation | Pay group 13 | full time | permanent position

Your responsibilities

  • Provision of scientific expertise on machine learning and artificial intelligence as well as establishing a network of like-minded researchers at the faculty, e.g. via:
  • Imparting technical knowledge and relevant use to all scientists at the faculty
  • Providing advice and feedback on current and planned research ideas, incl. relevant literature reviews
  • Regular teaching activity according to § 5 of the valid LVVO (currently 8 LVS)
  • Collaborative support and advice on grant proposals as well as active participation in ongoing research projects

Your profile

  • Successfully completed scientific university studies in the fields of mathematics, computer science, natural science or technology
  • several years of professional work experience in a relevant area
  • In-depth knowledge of the field of machine learning and artificial intelligence, esp. deep learning, as well as
  • visible track record of scientific expertise (such as publications, lectures, etc.)
  • extensive experience in designing and developing teaching materials as well as teaching; ability to apply and integrate  awareness of gender and diversity relevant aspects in all areas of work, esp. in  teaching and research
  • Fluency in English; German language skills are expected to reach business fluency within one yea

The Faculty of Energy and Information (Faculty 1) is intensifying its research activities in the field of applied sciences and hopes to boost its scientific network. You are invited to support this endeavour by providing your expertise in the field of machine learning and artificial intelligence in and across our multidisciplinary research projects.

We look forward to your application!

We will be pleased to answer any questions you may have: