At a Glance
- Tasks: Develop self-optimising ML algorithms and enhance bioprocess optimisation.
- Company: UCL Biochemical Engineering in partnership with Lonza Biologics.
- Benefits: Gain hands-on experience in cutting-edge research and collaboration.
- Other info: Work in a dynamic environment with opportunities for professional growth.
- Why this job: Join a pioneering team and make a real impact in bioprocess technology.
- Qualifications: Experience in machine learning and data analysis is essential.
The predicted salary is between 35000 - 45000 £ per year.
UCL Biochemical Engineering seeks a Research Fellow in Machine Learning for Self-Optimising Bioprocesses as part of the Prosperity Partnership with Lonza Biologics. The role focuses on building self‑optimising ML algorithms, time‑series forecasting, and real‑time control loops to accelerate bioprocess optimisation.
The postholder will work across UCL and Lonza sites, handling high‑frequency data streams, pre-processing spectroscopy data, and predicting critical process parameters and quality.
ML Research Fellow: Self-Optimising Bioprocesses in London employer: UK Dementia Research Institute
At the UCL Institute for Materials Discovery, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through ample networking opportunities with leading experts in academia and industry, as well as our generous benefits package, including 41 days of holiday and a defined benefit pension scheme. Join us in our mission to advance materials research and make a meaningful impact in the field of biosensing technology, all while enjoying the vibrant atmosphere of London.
Contact Details:
UK Dementia Research Institute Recruitment Team
