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

Leibniz Association
Found 4 weeks ago
Location
Halle, Germany
Duration (Months)
36 Months
Time
Part-time
Work Mode
Hybrid
Salary
E13 TV-L
Visa Help
Not disclosed
Last Verified
4 weeks ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • Python
  • C/C++
  • PyTorch
  • TensorFlow
  • cheminformatics
  • molecular modeling
  • enzyme mechanisms
  • databases
  • data mining

Soft Skills

  • 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
  • communication

Job Description

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)

Requirements

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

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

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

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