AI-Driven Biomolecular Design & Interactions Lecturer

AI-Driven Biomolecular Design & Interactions Lecturer

Full-Time 45000 - 55000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead research and teaching in AI-driven biomolecular design and interactions.
  • Company: UCL's Division of Biosciences, a leader in innovative research.
  • Benefits: Competitive salary, academic benefits, and opportunities for cross-disciplinary collaboration.
  • Other info: Join a dynamic team focused on groundbreaking research and education.
  • Why this job: Shape the future of biomolecular science with cutting-edge AI technologies.
  • Qualifications: Expertise in structural biology, biophysics, and machine learning required.

The predicted salary is between 45000 - 55000 Β£ per year.

UCL's Division of Biosciences invites applications for a Lecturer/Associate Professor in AI for Biomolecular Design & Molecular Interactions. The post focuses on AI-driven prediction, design of biomolecular interactions, and cross-disciplinary collaboration within SMB and the AI for Life programme.

The successful candidate will lead a research and teaching program, develop innovative approaches blending structural biology, biophysics, quantitative biology and machine learning.

AI-Driven Biomolecular Design & Interactions Lecturer employer: UCL

The Faculty of Social and Historical Sciences offers a dynamic and supportive work environment, where your contributions to student recruitment and marketing will be valued. With a strong emphasis on professional development, you will have opportunities to grow your skills in higher education admissions and digital marketing while collaborating with a diverse team dedicated to excellence in teaching and research. Located in a vibrant academic community, this role provides a unique chance to engage with prospective students and make a meaningful impact on their educational journey.

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Contact Details:

UCL Recruitment Team

We think you need these skills to ace AI-Driven Biomolecular Design & Interactions Lecturer

AI-driven Prediction
Biomolecular Design
Molecular Interactions
Structural Biology
Biophysics
Quantitative Biology
Machine Learning