Are you passionate about cutting-edge research at the intersection of life sciences and engineering? We are looking for highly motivated PhD students eager to push boundaries in fields such as biology, chemistry, physics, electrical or mechanical engineering, computer science, or micro- and nanotechnology.
As a PhD student in our structured and international Graduate School Life Science Engineering, you will be part of a dynamic, interdisciplinary research community, working on innovative projects that drive scientific progress.
As a PhD student in our structured and international Graduate School Life Science Engineering, you will be part of a dynamic, interdisciplinary research community, working on innovative projects that drive scientific progress.
Exciting PhD Opportunity in 'Life Science Engineering' at TU Darmstadt
Activities and responsibilities
Join the group of Prof. Heinz Koeppl - Self-Organizing Systems
PhD Position for AI-based Design of Synthetic Biology Circuits - 4 years
The Self-Organizing Systems Lab at the Centre for Synthetic Biology of TU Darmstadt is looking for several outstanding PhD students to join the team. The Lab is performing research in synthetic biology at the intersection of computational modelling and wet-lab biology research for molecular circuit design. Recent emphasis is placed on the use of generative AI and large language models (LLM) to design novel regulators and entire gene regulatory circuits. We implement fast design-build-test-learn cycles by directly validating designs within our wet-lab.
This project investigates therapeutic gene circuits for cancer with the focus on designing switchable mRNAs that can compute Boolean logic function. We will design novel assays for the high-throughput characterization of such systems and gene circuits in general and use this data to train large-scale AI models for in-silico design.
We seek talents having a master degree in molecular biology, chemistry or biophysics (wet-lab position) or a degree in computer science, theoretical physics, math or engineering (AI position) with the curiosity and the drive to work in a highly interdisciplinary team. Prior experience within the field of synthetic biology is a big plus.
PhD Position for AI-based Design of Synthetic Biology Circuits - 4 years
The Self-Organizing Systems Lab at the Centre for Synthetic Biology of TU Darmstadt is looking for several outstanding PhD students to join the team. The Lab is performing research in synthetic biology at the intersection of computational modelling and wet-lab biology research for molecular circuit design. Recent emphasis is placed on the use of generative AI and large language models (LLM) to design novel regulators and entire gene regulatory circuits. We implement fast design-build-test-learn cycles by directly validating designs within our wet-lab.
This project investigates therapeutic gene circuits for cancer with the focus on designing switchable mRNAs that can compute Boolean logic function. We will design novel assays for the high-throughput characterization of such systems and gene circuits in general and use this data to train large-scale AI models for in-silico design.
We seek talents having a master degree in molecular biology, chemistry or biophysics (wet-lab position) or a degree in computer science, theoretical physics, math or engineering (AI position) with the curiosity and the drive to work in a highly interdisciplinary team. Prior experience within the field of synthetic biology is a big plus.
Qualification profile
Please review the application requirements and admission process carefully BEFORE submitting your application here .
We offer
- A unique, interdisciplinary PhD program tailored to your academic and professional growth
- Personalized supervision by a dedicated Thesis Advisory Committee
- A mobility allowance for research stays abroad and the participation in (inter)national conferences
- Extracurricular seminars and trainings in transferable skills
If you are excited to join the Graduate School in Life Science Engineering, apply now via the apply button.
We look forward to receiving your application and welcoming you to our team!
Full-Time
, Temporary
PhD Project
Updated at
03/24/2025
While applying for the job please refer to jobvector
and use the following reference number:
Call2025-HK
