Job Advertisement P 83/2023

2 Research Assistants (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

• 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 into account your previous professional experience
• 30 days annual vacation and annual special payment; additional pension plan (VBL)
• flexible working hours
• various offers for health promotion and work-life balance, e.g. through our family office or our URgesund health management system
• multitude of continuing education opportunities, including language courses, IT courses, seminars for professional development
• participation in the extensive range of university sports activities

University of Rostock as an employer

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

Formal notes

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 (2) WissZeitVG.

If desired, the staff council can be consulted during the selection process. Please enclose an informal request for this with your application documents.

We look forward to receiving your online application with complete, informative documents:

• cover letter including motivation for a doctorate in the research group
• resume
• diploma with indication of final grade
• contact details for two recommendations

by 04.06.2023. Only applications that are received via our application portal and include all required documents will be considered.

Unfortunately, application and travel costs cannot be covered by the state of Mecklenburg-Vorpommern.

For further information please contact: