Academic employee with a focus on intelligent production processes (f/m/d) 100%

Hochschule Aalen - Technik, Wirtschaft und Gesundheit; Aalen; Vor Ort; EUR 45.000 - 60.000; Vollzeit

Zusammenfassung

Aalen University seeks an academic employee in Mechanical and Materials Engineering to work on a research project focused on intelligent production processes. The role encompasses planning tests, data evaluation using machine learning, and the development of innovative AI systems. This full-time position offers flexible working hours, opportunities for mobile work, and individual training initiatives. The successful candidate will hold a Master's degree in a relevant technical field and has a keen interest in advancing production technologies.

Leistungen

Flexible working hours

Family-friendly working environment

Individual training opportunities

JobBike BW subsidy

Company pension scheme

Qualifikationen

• Master's degree in mechanical engineering, production engineering, mechatronics, or similar.
• Knowledge of production technology and machine learning methods.
• Experience with Abaqus is advantageous.

Aufgaben

• Plan and carry out tests in machining.
• Evaluate test data using machine learning methods.
• Develop machine learning algorithms for small series production.

Kenntnisse

Production planning

Computer science

Machine learning

Interdisciplinary collaboration

Ausbildung

Master's degree in a scientific - technical field

Tools

Abaqus

Jobbeschreibung

Aalen University is looking for a:n for the Faculty of Mechanical and Materials Engineering as of 01.09.2025 or later

Academic employee with a focus on intelligent production processes (f/m/d)

• full-time 100% (39.5 hours/week) -
  
  

Become part of our strong team! Aalen University is one of the strongest research universities for applied sciences in Germany. Regionally, nationally and internationally, Aalen University has been a reliable partner for over 60 years - for students, staff and lecturers, for local authorities, the economy and more than 130 cooperation partners worldwide. We attach great importance to modern and future-oriented teaching, because the combination of theory and practice is crucial for us.

Your activity

Your task is to work on the Carl Zeiss Foundation-funded research project "Interactive algorithms for the integration of empirical knowledge in the intelligent automation of small series and special processes" - with the aim of developing innovative AI systems specifically for small series and special processes and thus making them fit for the future. The aim is to develop principles that enable reliable predictions and recommendations to be made even with minimal data input.

Her Main Areas Of Activity Include

• Planning, setting up and carrying out tests (e.g. in machining)
• Evaluation of test data using machine learning methods
• Further development of machine learning algorithms and adaptation to the challenges of small series and special processes
• Testing the concepts with industrial partners
• Producing scientific publications and presenting the results at scientific conferences
• Preparation and follow-up as well as support in teaching in the Master's programs of the Department of Mechanical Engineering, e.g. by preparing teaching materials and conducting laboratory exercises
  
  

Your profile

• You have a Master's degree in a scientific - technical field, e.g. mechanical engineering, production engineering, plastics technology, mechatronics, optoelectronics, computer science, physics or similar
• Ideally, you will either combine in-depth knowledge of production technology (including process data acquisition) with basic knowledge of programming and the application of machine learning methods or vice versa
• Knowledge of the simulation software Abaqus is an advantage
• You are enthusiastic about innovative development tasks and want to help shape the intelligent production processes of tomorrow
• You enjoy working in cooperation with interdisciplinary teams
  
  

We offer you

• Exciting and varied tasks in a motivated team
• Opportunity for mobile working
• Flexible working hours
• Family-friendly working environment with childcare close to the university
• Individual training opportunities
• Modern office equipment and research infrastructure
• Company pension scheme and annual bonus payment
• Attractive company health management offers
• Corporate benefits
• JobBike BW, subsidy for the Deutschlandticket and free parking spaces
  
  

There is the possibility of a doctorate via the Baden-Württemberg Doctoral Association. The position is limited until 31.08.2027 and is generally divisible.

If the requirements under collective bargaining law and personal requirements are met, the position will be graded up to pay group 13 of the Collective Agreement for the Public Service Länder (TV-L). Severely disabled persons who apply will be given special consideration if equally qualified. Further information can be found at www.hs-aalen.de/sbv ( http://www.hs-aalen.de/sbv ) .

Aalen University aims to increase the number of women in areas where women are underrepresented and therefore expressly encourages women to apply. For further information, please contact the Equal Opportunities Officer, Ms. Ingeborg Anthoni-Harpeng www.hs-aalen.de/chancengleichheit / ( http://www.hs-aalen.de/chancengleichheit /) .

Just ask us! Would you like to find out more about this position? Feel free to contact Mr. Tilman Traub, [e-mail] (https://mailto: [e-mail] ) .

Are you interested? Then we look forward to receiving your detailed application (reference number 25-06-01) by 24.06.2025 via our online application portal at www.hs-aalen.de/stellen ( http://www.hs-aalen.de/stellen ) .

Additional Information

Requirements for the applicant:

Basic knowledge: Production planning, computer science, FEM application ABAQUS