P 226/2023 Research Assistant bei Universität Rostock

Universität Rostock

Job Advertisement P 226/2023

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 AnalyticComputing, Chair of Intelligent Data Analytics, subject to allocation of funds, we are filling the following positions at the earliest possible date on a temporary basis for the duration of the project "Themis" () until 31.08.2025:

Research Assistant (m/f/d)
EG 13 TV-L, full-time employment, 40 hours/week, limited, project position

You will be part of a machine learning research group in a beautiful seaside city with a strong global network, including Stanford University, UC San Diego, or UNC Chapel Hill, and various national and local contacts. This gives you direct access and collaborations with leading experts in machine learning, (bio)medicine, and marine ecology worldwide. You will have the unique opportunity to help us create a collaborative and team-oriented group that aims to solve highly relevant, practical problems through cutting-edge machine learning. We are particularly concerned with methods for understanding the underlying processes of complex systems, integrating domain knowledge into machine learning methods for accurate modeling and human interaction with existing knowledge. For this, we use a variety of approaches, from multimodal learning, deep learning, Bayesian modeling, and exceptional model mining to explainable artificial intelligence, fairness, and human-computer interaction.

Our group is committed to translating research into actionable insights and applications with real-world impact and scalability. This is an excellent environment for candidates who not only want to conduct pioneering and creative research but are also interested in implementing results in industrial and entrepreneurial ways.

We prioritize a friendly, supportive, team-oriented, and inclusive work environment with highly motivated colleagues. Diversity across all dimensions is a central tenet of our research group and an important contribution to our innovative research.

Tasks and Responsibilities

• research in the field of data science, machine learning, and artificial intelligence for application scenarios such as (bio)medicine and environmental changes with the possibility of scientific qualification (doctorate)
• develop and apply methods ranging from multimodal learning, deep learning, Bayesian modeling, and exceptional model mining to explainable artificial intelligence, fairness, and human-computer interaction
• collaborate with international partners, such as Stanford University, UC San Diego, and UNC Chapel Hill
• present research findings at and publishing scientific papers in nationally and internationally renowned conferences and journals
• organize and conduct scientific events within the framework of the project

Requirements

• completed university degree (diploma, master's degree, or comparable degree) in the fields of computer science, mathematics, physics, computational biology, medicine, or a comparable field of study with at least good results
• at least basic knowledge in the application or development of statistical and/or machine learning methods and at least good programming skills, preferably in Python, Julia, and/or R
• strong analytical thinking skills
• practical experience in project work and/or publication of scientific papers desirable
• great interest in the application and development of machine learning methods in high-impact applications such as (bio-)medicine and environmental change
• very good knowledge of the English language, both written and spoken, as well as very good communication skills for the presentation of research result
• eagerness to experiment, curiosity, high willingness to learn, and self-motivation, as well as teamwork skills for working in interdisciplinary work groups
• careful, goal-oriented, and punctual way of working, as well as the ability to work independently and familiarize yourself with new topics

Our offer

• a friendly, team oriented and integrative working environment with highly motivated colleagues
• international network with universities such as Stanford, UC San Diego, or UNC Chapel Hill
• Employment relationship in accordance with the provisions of the Collective Agreement for the Public Service of the Federal States (TV-L) with the employer Land Mecklenburg-Vorpommern, represented by the University of Rostock
• remuneration with salary group 13 if personal and collective agreement requirements are met
• an individual assignment of the experience level according to the collective agreement, taking