The »Q uantum Computing« team at the Fraunhofer Institute for Industrial Engineering Engineering IAO is looking for motivated talents who want to work at the interface of artificial intelligence and quantum computing.
Develop innovative AI workflows, revolutionize the research process and find solutions to everyday problems. Become part of a dynamic, interdisciplinary team where pioneering spirit and creative ideas are valued!
What you will do
You will work in an interdisciplinary team on innovative and exciting research topics and projects with the following activities:
* Develop groundbreaking Kl workflows that revolutionize knowledge processes! You will:
o Design automatic monitoring of Arxiv to capture relevant publications in the Quantum Computing section in no time.
o Produce high quality and concise summaries of scientific papers that capture the essence of the research.
o Identify and classify major conferences and events on quantum computing, quantum machine learning and quantum simulation to your finger on the pulse.
* Become a key player in various sub-teams and support us with exciting challenges, such as testing hybrid OML algorithms.
* Work hand in hand with our experts to drive innovative approaches at the intersection of cl and quantum computing and make real change happen!
What you bring to the table
* You are a registered student
* Sound knowledge and practical experience in the sections of Kl, Machine Learning and Deep Learning are your foundation. Are you proficient in relevant frameworks such as PyTorch, TensorFlow or Huggingface? Perfect!
* Additional experience in data (pre-)processing for ML tasks? That's a big plus!
* Have you already developed and implemented Kl workflows or agents, perhaps with tools such as LangChain, Dify, CrewAl or Llamalndex? Then you've come to the place!
* Are you interested new technologies, especially quantum computing and quantum machine learning? And are you ready to familiarize yourself with these fascinating topics? Fantastic!
* Do you have analytical thinking skills, a creative and legally independent way of working and to the boundaries of the known? Then become part of our team and shape the future with us!
What you can expect
You can expect challenging and varied tasks in an innovative research environment. We also offer you
* Insights into applied research and the sections: Quant Finance, ML and Quant Computing
* Pleasant working atmosphere in a motivated team
* Equal opportunities, accessibility and diversity
* Responsible tasks with which you can develop your expertise
* State-of-the-art technology and working environment
* Mobile forms of work and flexible working time models and 10 minutes away from Stuttgart University
* Transparent and fair remuneration
* Connection to our student network
* Sports activities 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.
* The monthly working time is 40 - 80 hours, depending on the agreement.
* The position is initially limited to 1 year. A longer collaboration is desired and is possible in connection with a Master's thesis.
* 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.
Interested? Apply online now. We look forward to getting to know you!
We will be happy to answer any questions you may have about this position:
Mr. Dennis Klau
Email dennis.klau@iao.fraunhofer.de
Phone +49 711 970-5112
Fraunhofer Institute for Industrial Engineering IAO
www.iao.fraunhofer.de
Requisition Number: 79701 Application Deadline: 06/30/2025