Your Tasks
We develop robust optofluidic experiments that use light-driven flows to manipulate cells and microscopic objects. Our next step is to connect these platforms with AI agents - potentially including Hermes-like tool-using agents and multi-agent systems - to plan experiments, operate instruments, analyse outcomes and improve subsequent actions. Help us turn reliable laboratory hardware into autonomous scientific discovery systems.
Your role
- Develop and integrate tool-using AI agents and multi-agent workflows with established optofluidic and microscopy setups.
- Build robust Pythosn interfaces, APIs and instrument-control services for acquisition, actuation and experimental feedback.
- Combine quantitative image analysis, machine learning, feedback control and optimisation to enable adaptive experiments and autonomous scientific data generation.
- Develop experimental planning and agent evaluation with safeguards, logging, reproducible protocols and systematic handling of failures.
- Work with an interdisciplinary team and publish new methods and scientific results in biophotonics and Physical AI.
Your Profile
- PhD in physics, biophysics, mechatronics, robotics, engineering, computer sciences or related field.
- Strong Python programming skills, quantitative and mathematical reasoning and experience developing or automating scientific systems.
- Experience in at least one of laboratory automation, instrument control, robotics, computer vision, feedback control, biophysics or machine learning.
- Solid analytical skills, independent problem-solving, collaborative mindset and excellent English communication.
- Interest in agentic AI, autonomous experimentation and scientific discovery; experience with LLM-based agents, MCP/API tools or multi-agent systems is a plus - not a prerequisite.
- Optics or biophotonics experience is welcome but not required: outstanding candidates from adjacent fields are encouraged to apply.
We Offer
Science for Impact
Engage with topics of societal relevance — in an excellent scientific environment that enables change.
Flexible Working Hours
Take advantage of flexible‑hours schemes, remote‑work options, and a 30‑day annual leave entitlement to achieve an optimal work‑life balance.
Career‑Building and Developmental Opportunities
We provide you with a structured onboarding program, a broad spectrum of continuing‑education options, and personalised support, thereby fostering your individual growth.
Family-friendliness
The “KIT‑Family +” program assists you in reconciling work and family life by offering childcare services, holiday activities, a parent‑child office space, and assistance with caring for relatives.
Stay Healthy
Under the motto “Fit at KIT – Body, Mind and Soul,” we promote your well‑being through fitness classes and mental‑health programmes.
Individualised Extra Benefits
Enjoy a corporate pension (VBL), a €25 monthly contribution toward a JobTicket BW, plus a broad selection of cultural and recreational programmes.
Job location
Eggenstein-Leopoldshafen (and Karlsruhe)
Salary
Salary category 13 TV-L; classification is based on personal and professional qualifications.
Contract duration
2 years
For technical information, please contact
Prof. Dr. Moritz Kreysing
moritz.kreysing@kit.edu
0721 608-28798
If you have general questions about the application process, please contact
Sylvia Kaiser
Personalservice (PSE)
sylvia.kaiser@kit.edu
+49 721 608-22438
At KIT we value the diversity of our employees; different perspectives and backgrounds enrich our work. We therefore welcome applications from all candidates. Women are especially encouraged to apply. Applications from recognized severely disabled individuals are given preferential consideration when qualifications are equal.
Application up to: 2026-11-27
Job posting number: 426/2026
