Academic Staff Member (f/m/d) in the area Industrial Data Science

Aalen University is one of the most research-intensive universities of applied sciences in Germany. Regionally, nationally and internationally, Aalen University has been a reliable partner for 60 years - for students, staff and lecturers, for local communities, the economy and more than 130 inter­national cooperation partners worldwide. We attach great importance to modern and future-oriented teaching because the combination of theory and practice is crucial for us. Are you passionate about data? Do you want to develop data-driven solutions with artificial intelligence? Can you imagine collecting data from different sources and systematizing it for analysis? Do you want to work on topics that advance humanity? Can you transfer your knowledge to teaching content? A yes is enough to start a conversation. Aalen University of Applied Sciences is looking for the collaboration with Professor Dr. Dieter William Joenssen at the Research Center for Complex Systems (RCS) in the area Industrial Data Science to the earliest possible date a

Academic Staff Member (f/m/d) - full-time 100 % (39,5 hrs/week) -

Your task

• Collaboration in the Research Center for Complex Systems. Find out more at:
  https://www.hs-aalen.de/rcs
• Research and development of data-based solutions and products
• Development of ML models according to reference processes, e. g CRISP-DM
• Development of automated model building pipelines, using MLOPs
• Preparation of scientific publications
• Representation of research results in the international community
• Participation in international conferences
• Transfer of research into teaching od the faculty in the focus areas: Data management and analysis
• Collaboration in applications for third-party funds and grants

Your profile

• A passion for data
• Thirst for knowledge and the urge to develop new things
• Programming skills in a relevant high-level language
• Completed Master's degree in mechanical engineering / computer science with a focus on machine learning or similar focus of related technical courses for PhD students
• Independent working style, ability to work in a team and to conduct high quality research
• Good command of written and spoken English
• German language skills are helpful but not required

We offer you

• The opportunity to pursue a PhD at the prestigious Queen Mary University of London
• An exciting and varied field of activity
• Cooperation in a friendly and motivated team
• A crisis-proof job
• Flexible and family-friendly working hours
• The possibility of mobile working / home office
• A company pension scheme and an annual bonus
• Regular opportunities for further training
• Attractive company health management offers
• Modern office equipment
• A Job ticket from the state of Baden-Württemberg
• Childcare spots in the Einsteinchen day care center at Aalen University

The position is initially limited to three years, but can in principle be extended to up to six years and is in principle divisible. The position will be classified in pay group 13 of the collective agreement for the public service of the federal states (TV-L), provided that the legal and personal requirements are met. Severely disabled applicants who qualify will be given special consideration. Further information can be found at http://www.hs-aalen.de/sbv. Aalen University aims to increase its proportion of women and therefore expressly encourages qualified women to apply. For further information, please contact the Equal Opportunities Officer, Ms. Sabine Gold http://www.hs-aalen.de/chancengleichheit/. Ask us! Would you like to know more about this position? Feel free to contact Prof. Dr. Dieter William Joenssen, dieter.joenssen@hs-aalen.de. Are you interested? Then we look forward to receiving your application (reference number 23-03-10) by 19.04.2023 via our online application portal.