Job Opportunities in Germany

The University of Rostock offers a diverse, varied and demanding job in a tradition-conscious, yet innovative, modern and family-friendly university in a lively city by the sea.

At the Faculty of Computer Science and Electrical Engineering, Institute for Visual and Analytic Computing, Chair of Visual and Analytic Computing in Ocean Technologies, subject to budgetary provisions, we are filling the following position at the earliest possible date on a temporary basis for a period of three years:

Research Assistant (m/f/d) - Deep Learning

Start date at the earliest possible date

Working hours full-time with 40 hours

Remuneration pay group 13 TV-L

Location Campus Südstadt

Tender number W 135/2024

Limitation limited for a period of three years

Application time 2024-10-31

Please do not hesitate to contact us for further information:
HR department:
Elisa Lehmann
Phone number: 0381/498-1282

Department:
Jun.-Prof. Dr. rer. nat. Stefan Oehmcke

E-mail:
We invite applications for a Ph D position focused on advancing Machine Learning (ML) methods for maritime applications. This opportunity emphasizes interdisciplinary research across fields such as Computer Science, Engineering, and Physics, while remaining grounded in core ML development. We collaborate with partners including the Leibniz Institute for Baltic Research (IOW), the Thünen Institute of Baltic Sea Fisheries, and the Fraunhofer Institute for Computer Graphics Research (IGD). If you're passionate about addressing challenges in environmental monitoring, offshore windpark analysis, or marine ecosystem simulations using multi-modal, temporal-spatial datasets, we would love to hear from you.

At the start of your Ph D, we will collaboratively define your research topic within the realm of Machine Learning for maritime applications, including but not limited to:

• Temporal-Spatial and Multi-Modal ML (e.g., Drift/OOD Detection, Semi-Supervised Representation Learning, Transfer/Few-Shot Learning, etc.)
• Resource-Limited Learning (e.g., Data/Model Selection, Knowledge Distillation, Sampling Strategies, etc.)
• ML Models for Marine System Modeling and Simulation (e.g., Physics-Informed Neural Networks, Neural ODEs, Differentiable Programming, etc.)

THESE ARE YOUR TASKS:

• carry through an independent research project under supervision in the field of Visual and Analytic Computing in Ocean Technologies, especially Deep Learning with the aim of scientific qualification (doctorate)
• write scientific papers aimed at high-impact conferences and journals
• collaborate with international and interdisciplinary partners, such as Copenhagen University and Dalhousie University, as well as local institutes like the Leibniz Institute for Baltic Research (IOW), Thünen Institute of Baltic Sea Fisheries, and the Fraunhofer Institute for Computer Graphics Research (IGD)
• participate in active research environments
• teaching and knowledge dissemination activities

THIS MAKES YOU A GOOD FIT:

• completed university degree (diploma, master's degree or comparable degree) in computer science, mathematics, engineering or comparable with at least good results
• strong background in Machine Learning
• very good programming skills in at least one programming language (preferably Python with experience in Py Torch, Jax, Tensor Flow, or similar)
• curious mind-set with a strong interest in interdisciplinary work on maritime topics
• confident knowledge of the English language, both written and spoken to write publications and to give international presentations
• willingness to work seriously and with commitment on a project of one's own scientific qualification

WE AS AN EMPLOYER:
Equal opportunities are important to us. We welcome applications from suitable severely disabled people or people with equal opportunities. We aim to increase the proportion of women in research and teaching and therefore encourage suitably qualified women to apply. We welcome applications from people of other nationalities or with a migration background.

WE OFFER YOU:
FURTHER INFORMATION:
If invited for an interview, you may receive small tasks (e.g., presenting a paper or implementing a small ML solution) beforehand to showcase your skills.

The experience level is determined individually, taking into account your previous professional experience.

In principle, the position is also suitable for part-time employment. If corresponding applications are received, we will consider whether the part-time wishes can be met within the scope of official feasibilities.

The temporal limitation of the employment relationship is based on § 2 (1) Wissenschaftszeitvertragsgesetz.

We look forward to receiving your online application with complete, informative documents by 31.10.2024 at the latest. Please submit the following documents with your application:

1. Cover letter (max. one page), detailing your motivation and background for applying for the specific Ph D project.
2. Curriculum vitae including information about your education, experience, language skills and other skills relevant for the position.
3. Original diplomas for Bachelor's degree and Master's degree and transcript of records in the original language, including an authorized English translation if issued in another language than English or German. If not completed, a copy of a recent transcript of records or a written statement from the institution or supervisor is accepted.
4. Publication list (if available, not a necessity)
5. Reference letters (if available, not a necessity)

Only applications received via our application portal and containing all requested documents will be considered.

Unfortunately, application and travel costs cannot be covered.

Become part of the team

The Visual and Analytic Computing in Ocean Technologies (VACOT) group, led by Prof. Stefan Oehmcke, is a newly founded research team dedicated to advancing machine learning methods, particularly for maritime applications. This focus is essential because oceans present unique challenges due to their dynamic nature and biological diversity, which cannot be effectively monitored by a single sensor. To address complex questions, we require multi-modal data—such as imagery, sonar, and environmental measurements—collected through various platforms, including autonomous robots, planes, and satellites. This complexity underscores the need for developing new machine learning techniques that can enhance our understanding of ocean systems and inform sustainable management practices.

We look forward to receiving your application!

Contact

Universität Rostock
18051 Rostock
Tel.: +49 381 498 - 0

Sitze des Rektorats:
Universitätsplatz 1
18055 Rostock

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