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Student Assistant for the Quantum Lab in the »Quantum Machine Learning« Team (all genders)

Fraunhofer-Gesellschaft fraunhofer.de Open · verified Nov 1, 2026
Stuttgart Junior Machine Learning Engineering

At a glance

Junior Machine Learning Engineering role at Fraunhofer-Gesellschaft. Stuttgart.

Pay not stated Machine Learning Engineering salary

RoleMachine Learning Engineering
SeniorityJunior
LocationStuttgart
PostedOct 21, 2026 · 11d ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build and refine experiments and demonstrators that show quantum computing research in action
  • Create clear explanations and learning materials to make scientific ideas understandable to different audiences
  • Keep the lab exhibits prepared for workshops, training sessions, and visits
  • Guide visitors during lab tours and events, explaining the experiments and research
  • Help shape practical learning activities about quantum computing and related technologies

What you bring

  • You are studying physics, mathematics, computer science, or a related subject
  • You communicate science with interest and enjoy practical experiments and education
  • You can work on your own initiative and bring curiosity, creativity, and a willingness to learn
  • You have a good command of German or English

Who this fits

This student role suits someone interested in science communication and hands-on learning about quantum technologies. You would work in Stuttgart, with a monthly workload of forty hours; the position is initially for one year, with longer employment desired. Prior quantum computing knowledge is welcome but not required.

From the employer

The »Quantum Machine Learning« team at Fraunhofer Institute for Industrial Engineering IAO in Stuttgart conducts research on quantum computing-based data processing and develops machine learning methods in support of quantum technologies. The team is part of flaQship, the Fraunhofer Lab for applied quantum computing Stuttgart-Heilbronn, which unites the expertise of Fraunhofer Institute for Industrial Engineering IAO and the Fraunhofer Institute for Manufacturing Engineering and Automation IPA. Within flaQship, the research area Quantum Service Engineering and High-Performance Computing focuses on making quantum computing usable as service-oriented applications, on integrating quantum resources into existing IT workflows, and on operating the laboratory and High-Performance computing infrastructure on which our research, trainings and demonstrators rely.

An important part of these activities is our »Quantum Lab«, an interactive learning and demonstration environment that combines hands-on physics experiments, quantum computing demonstrators, and educational exhibits. The lab supports research, training programs, workshops, demonstrations, and visitor events, helping to make quantum technologies tangible and accessible for students, researchers, industry partners, and the broader public.

To support the ongoing development and operation of this unique environment, we are looking for a Student Assistant who will help maintain and further develop the Quantum Lab, contribute to new demonstrators and experimental setups, and support activities that communicate quantum computing to a broad audience.

Be part of change

  • You design, set up, and continuously improve experiments and demonstrators that bring cutting-edge quantum computing research to life
  • You develop engaging explanations and supporting materials that make complex scientific concepts accessible to a wide range of audiences
  • You help keep our Quantum Lab and its demonstrators ready for training sessions, visitor programs, and public demonstrations
  • You support lab tours, events, and outreach activities and introduce visitors to our experiments and research in an understandable and inspiring way
  • You contribute to creating hands-on learning experiences that showcase the potential of quantum computing and quantum technologies

What you contribute

  • You are an enrolled student in physics, mathematics, computer science, or a related field
  • You enjoy communicating science and have an interest in science education and hands-on experimentation.
  • You are curious, creative, and eager to learn
  • You enjoy working independently and taking initiative
  • Prior knowledge of quantum computing is welcome but not required. Curiosity, creativity, and a willingness to learn are equally important
  • You have good German or English skills, German is an advantage but not required

What we offer

You can expect challenging and varied tasks in an innovative research environment. We also offer you:

  • Insights into application-oriented research and current, innovative topics
  • A pleasant working atmosphere in a motivated team
  • Equal opportunities, accessibility, and diversity
  • Responsible tasks that will help you develop your skills
  • State-of-the-art technology and working environment
  • Flexible working time models
  • Transparent and fair remuneration
  • Connection to our student network
  • Sports facilities at the University of Stuttgart

We value and promote the diversity of our employees' skills and therefore welcome all applications – regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Our tasks are diverse and adaptable – for applicants with disabilities, we work together to find solutions that best promote their abilities. Remuneration according to the general works agreement for employing assistant staff.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

  • The monthly working time are 40 hours.
  • The position is initially limited to one year. Longer-term employment is desirable.
  • Remuneration according to the general works agreement for employing assistant staff.

Ready for a change? Then apply now and make a difference! Once we have received your online application, you will receive an automatic confirmation of receipt. We will then get back to you as soon as possible and let you know what happens next.

If you have any questions about this position, please contact:
Mr. Niclas Schillo
Phone +49 151 55877564

Fraunhofer Institute for Industrial Engineering IAO

www.iao.fraunhofer.de

Requisition Number: 86008 Application Deadline: 11/30/2026

Opportunity

Machine Learning Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Machine Learning Engineering

Find me work

By the team behind aimlroles.

Find me work
Opportunity

Machine Learning Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind aimlroles.