Overview
We are seeking a Research Fellow in Reaction Automation to join the EPSRC funded programme R4PID: Reconfigurable, Robotic & Responsive Reactors for Processes through Intensified Development—a flagship project aiming to redefine how synthetic routes are designed, optimised, and prepared for pharmaceutical manufacture.
Responsibilities
- Develop digitally integrated, microvolume, reconfigurable robotic flow reactors capable of autonomously adapting to diverse synthetic reactions.
- Generate microvolume reaction pulses with individually controlled conditions.
- Parallelise droplet‑based microreactor environments for massively increased throughput.
- Integrate advanced inline sensors (IR, MS, NMR, UV–vis) for real‑time data acquisition.
- Connect to AI‑driven optimisation and process modelling tools.
- Provide manufacturing‑quality process data using micro‑ and nanomole quantities.
- Enable autonomous exploration of discrete variables (catalysts, solvents, reagents).
- Build a continuous data pipeline from screening to optimisation to scale‑up.
Qualifications
Candidates should possess a strong background in reaction engineering, automation, and data analysis, along with the ability to work independently and collaboratively within a multidisciplinary research environment.
#J-18808-Ljbffr”, “datePosted”: “2026-05-17”, “hiringOrganization”: { “@type”: “Organization”, “name”: “University of Leeds”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__434441482__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=918” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “Leeds” } } }Overview
We are seeking a Research Fellow in Reaction Automation to join the EPSRC funded programme R4PID: Reconfigurable, Robotic & Responsive Reactors for Processes through Intensified Development—a flagship project aiming to redefine how synthetic routes are designed, optimised, and prepared for pharmaceutical manufacture.
Responsibilities
- Develop digitally integrated, microvolume, reconfigurable robotic flow reactors capable of autonomously adapting to diverse synthetic reactions.
- Generate microvolume reaction pulses with individually controlled conditions.
- Parallelise droplet‑based microreactor environments for massively increased throughput.
- Integrate advanced inline sensors (IR, MS, NMR, UV–vis) for real‑time data acquisition.
- Connect to AI‑driven optimisation and process modelling tools.
- Provide manufacturing‑quality process data using micro‑ and nanomole quantities.
- Enable autonomous exploration of discrete variables (catalysts, solvents, reagents).
- Build a continuous data pipeline from screening to optimisation to scale‑up.
Qualifications
Candidates should possess a strong background in reaction engineering, automation, and data analysis, along with the ability to work independently and collaboratively within a multidisciplinary research environment.
#J-18808-Ljbffr…
