Doctoral Candidate / Research Assistant (f/m/d) Thermoacoustic Microenergy Devices

Internetchemie; Karlsruhe; Vor Ort; EUR 40.000 - 50.000; Teilzeit

Zusammenfassung

A leading research university is seeking a part-time Doctoral Candidate / Research Assistant for developing AI applications in renewable energy. The role involves research on AI methods for photovoltaic materials, conducting experiments, and publishing findings. Candidates must possess a relevant Master's degree and strong programming skills. This position offers the opportunity to pursue a PhD while working in a supportive research environment with flexible working conditions.

Leistungen

Flexible working time models

Further qualification offers

Sports and leisure offers

Child and holiday care services

Partial cover of public transport costs

Qualifikationen

• Excellent Master's degree in relevant fields required.
• Strong programming skills essential.
• Knowledge of semiconductor physics or optoelectronics beneficial.

Aufgaben

• Research on AI methods for materials discovery.
• Design and conduct laboratory experiments.
• Apply machine learning methods for data analysis.

Kenntnisse

Strong programming skills

Knowledge of semiconductor physics

Experience with AI methods

Ausbildung

Master's degree in computer science, engineering, physics, or related fields

Jobbeschreibung

Karlsruhe Institute of Technology (KIT) – The Research University in the Helmholtz Association creates and imparts knowledge for the society and the environment. It is our goal to make significant contributions to mastering the global challenges of mankind in the fields of energy, mobility, and information. For this, about 10,000 employees of KIT cooperate in a broad range of disciplines in research, academic education, and innovation.

Doctoral Candidate / Research Assistant (f/m/d) Thermoacoustic Microenergy Devices

Application of AI in the Development and Manufacturing of Perovskite Semiconductor Materials – Part‑time 75 %

Join us at KIT in shaping the future of renewable energy through cutting‑edge research at the intersection of perovskite photovoltaics and machine learning. Your contribution will be crucial in developing and optimizing innovative materials and processes for high‑efficiency solar cells.

Your responsibilities include:

• Research on AI methods for materials discovery and scalable manufacturing processes in perovskite photovoltaics.
• Designing and conducting laboratory experiments.
• Creating comprehensive experimental datasets.
• Applying machine learning methods (e.g., neural networks) to analyze, interpret, and optimize complex experimental processes.
• Supporting project work and coordinating laboratory infrastructure.
• Assisting in teaching activities.
• Publishing research results in scientific journals and presenting at conferences.

The position offers the opportunity to pursue a PhD alongside your work.

You have:

• An excellent Master’s degree in computer science, mechanical engineering, process engineering, chemistry, physics, electrical engineering, materials science, or related fields.
• Knowledge of semiconductor physics or optoelectronics.
• Strong programming skills.
• Experience with AI methods is an advantage.

Become a member of staff of the only German University of Excellence that conducts large‑scale research on the national level. Work under excellent working conditions in an international environment and be active in research and academic education for our future. Benefit from specific training when starting your job and from a wide range of further qualification offers. Use our flexible working time models (flexitime, work from home), our sports and leisure offers, as well as our child and holiday care services. We also pay a share of EUR 25/month in the Job Ticket Baden‑Württemberg. Enjoy a large variety of dishes, snacks, and beverages at our canteens.

Salary category 13 TV‑L, depending on the fulfillment of professional and personal requirements.

We prefer to balance the number of employees (f/m/d). Therefore we kindly ask female applicants to apply for this job. Recognized severely disabled persons will be preferred if they are equally qualified.

Please apply online until January 11, 2026 using the vacancy number 512/2025 to Ms Gätcke, Karlsruhe Institute of Technology (KIT), Human Resources, Hermann‑von‑Helmholtz‑Platz 1, 76344 Eggenstein‑Leopoldshafen, Germany. For further information, please contact Prof. Dr. Paetzold, e‑mail: [e-mail].

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You can find further information on the internet: www.kit.edu.

KIT – The Research University in the Helmholtz Association