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PhD in Machine Learning for Enzyme Design (m/f/d)

At the Leibniz Institute of Plant Bioche­mistry in the Department of Bioor­ganic Chemistry a position is available for a

PhD in Machine Learning for Enzyme Design (m/f/d)
(Salary group E13 TV‑L, part-time 65 %, limited for 3 years, start: as soon as possible)

Are you passionate about machine learning, molecular science, and making disco­veries at the interface of biology and chemistry? Join us at the Leibniz Institute of Plant Bioche­mistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine Learning”.

About the Project & Group:
You will work in the Compu­ta­tional Chemistry group, led by Dr. Mehdi D. Davari, an inter­di­sci­plinary team focused on accele­rating chemical and biolo­gical discovery using compu­ta­tional tools. Our research combines compu­ta­tional chemistry, chemin­for­matics, bioin­for­matic and AI to design new molecules and enzymes for unpre­ce­dented catalytic functions.

In this project, you will:

  • Develop innovative machine learning archi­tec­tures for the mining, prediction, and design of enzymes.
  • Combine state-of-the-art ML (e.g., deep learning, generative models) with compu­ta­tional bioche­mistry tools.
  • Colla­borate closely with an experi­mental enzymology PhD student to validate your models in the lab.

This is an excellent oppor­tunity to contribute to the future of enzyme engineering, bioin­for­matics, and molecular ML in an exciting, inter­di­sci­plinary environment.For more infor­mation about our group and research topics, visit: IPB Halle Department of Bioor­ganic Chemistry (NWC)

Who We’re Looking For:
We’re seeking a creative, motivated, and colla­bo­rative candidate with the following quali­fi­ca­tions:

Essential:

  • Master’s or Diploma degree in Bioin­for­matics, Compu­ta­tional (Bio)Chemistry, Chemin­for­matics, Compu­ta­tional Biophysics, or a closely related field
  • Strong programming skills (e.g., Python, C/C++)
  • Knowledge of machine learning frame­works (e.g., PyTorch, TensorFlow)
  • Very good English language skills, ability to commu­nicate ideas and results effec­tively
  • Independent and solution-oriented work ethic
  • Inter­di­sci­plinary mindset and enthu­siasm for teamwork
  • Ability to work in a multi-cultural, multi-ethnic environment with sensi­tivity and respect for diversity

Desirable:

  • Experience in chemin­for­matics, molecular modeling, or enzyme mecha­nisms
  • Familiarity with databases, data mining, and knowledge management

Why Join Us:

  • Be part of a dynamic, growing team in the field of enzyme and protein design
  • Colla­borate in the context of a presti­gious DFG Priority Programme (SPP2363)
  • Enjoy a vibrant scien­tific environment at the Weinberg Campus, Halle, co-located with the Martin Luther University
  • Work in a highly inter­na­tional, supportive, and diverse research atmosphere
  • Access to cutting-edge facilities in biotech­nology, struc­tural biology, proteomics, metabo­lomics, and more

Our benefits:

  • Excellent working condi­tions in an inter­na­tional environment
  • Flexible and family-friendly working hours and possi­bility of home-office
  • Offer of profes­sional training courses and measures for skill impro­vement
  • Compen­sation according to TV‑L (including annual special payment)
  • Contri­bution to your company pension plan (VBL)
  • On-site oppor­tu­nities for health promotion

About the institute:
As a member of the Leibniz Association, the Leibniz Institute of Plant Bioche­mistry (IPB) is a non-university research insti­tution on the Weinberg Campus in Halle (Saale). As a foundation under public law, the IPB is under the super­vision of the state of Saxony-Anhalt, Germany. The IPB is an inter­na­tio­nally renowned research insti­tution and consists of four scien­tific depart­ments and additional independent research groups (approx. 200 employees, including around 40 doctoral students). Research at the IPB aims to under­stand the (bio)chemical basis of the perfor­mance and resilience of plants under environ­mental condi­tions of climate change. The IPB offers excellent research condi­tions and a state-of-the-art infra­structure to inves­tigate the chemical diversity, bioche­mical inter­ac­tions and biolo­gical functions of small natural product molecules in plants and fungi. The focus is on specia­lized metabolites, chemical mediators and relevant molecular networks of functional gene and protein regulation (http://www.ipb-halle.de).

How to Apply:
Please email a single PDF file containing the following documents to bewerbungen@ipb-halle.de (Subject: PhD ML Enzyme Design – Ref No. 11/2025):

  • Cover letter detailing your previous research experience and motivation
  • CV with publi­cation list (if appli­cable)
  • Academic transcripts (Bachelor & Master)
  • Contact details of two academic referees (or attach two recom­men­dation letters)

Appli­cation review begins immediately and will continue until the position is filled.

For informal inquiries, contact Dr. Mehdi D. Davari (mehdi.davari@ipb-halle.de).

Foreign quali­fi­ca­tions must comply with German standards (TV-L-EntgeltO Proto­kol­lerklärung Nr. 1 Absatz 4) and be certified (equiva­lence test in Germany, subject to a fee) and presented to IPB Human Resources at the time of hiring: https://www.kmk.org/zab/central-office-for-foreign-education

Diversity, family and equal oppor­tu­nities:
The Leibniz Institute of Plant Bioche­mistry has set itself the goal of equal oppor­tu­nities, diversity and the promotion of work-life balance and has been awarded the ‘Total E‑Quality’ award for this. The IPB is also a member of the nationwide corporate network ‘Success Factor Family’ and the Diversity Charter.

Appli­ca­tions from disabled persons or appli­cants with equivalent status are expressly welcome.

Further infor­mation on family friend­liness, equal oppor­tu­nities and diversity can be found at: https://www.ipb-halle.de/institut/

Data protection:
Please note the data protection infor­mation for appli­cants (m/f/d) in accordance with Art. 13 and 14 GDPR on data processing in the appli­cation process at the following link
https://www.ipb-halle.de/karriere/datenschutzhinweise-fuer-bewerber/