University of Cambridge Vet School

www.vet.cam.ac.uk

3 Jobs

29 Employees

About the Company

The Department of Veterinary Medicine at The University of Cambridge is at the forefront of veterinary science and education and is a centre of excellence for teaching and research. The Department hosts Undergraduate and Postgraduate students and it operates small animal and equine hospitals and equine and farm animal clinical services.

Listed Jobs

Company Name: University of Cambridge Vet School
Job Title: Research Associate in Innovation and Operations Management (Fixed Term)
Job Description: **Job Title** Research Associate in Innovation and Operations Management (Fixed Term) **Role Summary** Postdoctoral research-focused position (3‑year fixed term) in R&D incentives, blending game‑theoretic theory with empirical analysis (controlled experiments, archival and industry data) to generate high‑impact publications. **Expectations** - Produce rigorous, publishable research independently. - Co‑author peer‑reviewed papers and conference presentations. - Engage in interdisciplinary collaboration and, where relevant, industry outreach. **Key Responsibilities** - Develop and refine game‑theoretic models of R&D incentives (information economics, contract theory, principal–agent frameworks). - Design, implement and analyze controlled experiments and observational studies. - Manage and analyze complex datasets, applying econometric, causal inference and structural estimation techniques. - Prepare manuscripts, technical reports, and grant‑related outputs. - Communicate findings clearly to academic and industry audiences. **Required Skills** - Advanced knowledge of game theory (information economics, contract theory, principal–agent models). - Proficiency in empirical methods: econometrics, experimental design, causal inference, structural estimation. - Strong programming skills in Python, R, Matlab, or Stata; familiarity with LaTeX for manuscript preparation. - Excellent scientific writing and presentation abilities. **Required Education & Certifications** - PhD (or in final year) in Operations Research, Economics, Decision Sciences, or a closely related discipline.

Cambridge, United kingdom

On site

19-01-2026

Company Name: University of Cambridge Vet School
Job Title: EPSRC DLA Studentship - Machine-Learning-Driven Inverse Design for 3D Turbomachinery
Job Description: **Job Title:** EPSRC DLA PhD – Machine‑Learning‑Driven Inverse Design for 3D Turbomachinery **Role Summary:** Conduct PhD research to replace iterative RANS‑CFD design loops with data‑driven inverse design models, creating a tool that maps aerodynamic specifications directly to 3‑D blade geometries and RANS‑consistent flow fields, targeting >90 % reduction in design iteration time and 100× speed‑up over conventional CFD workflows. **Expectations:** - Validate a 3‑D inverse design framework capable of producing accurate geometries and flow fields at >100 × faster speed than conventional CFD. - Demonstrate a >90 % reduction in design iteration time for real turbomachinery components. - Develop a scalable data‑driven design acceleration platform applicable to compressors and turbines. - Publish peer‑reviewed papers, present at conferences, and produce code/software deliverables. **Key Responsibilities:** - Generate and curate large, high‑quality CFD datasets for training and validation. - Develop regression‑based surrogate models linking aerodynamic targets to 3‑D blade geometries and flow fields. - Validate model outputs against high‑fidelity RANS simulations and quantify accuracy. - Optimize training pipelines, perform hyperparameter tuning, and assess model generalisation. - Implement software tools primarily in Python (C++/Fortran optional). - Collaborate with industrial partners and internal stakeholders to align design constraints. - Disseminate findings through academic publications, presentations, and technical reports. **Required Skills:** - Strong foundation in aerodynamics, fluid mechanics, or turbomachinery engineering. - Hands‑on experience with RANS CFD (commercial or in‑house solvers). - Proficient programming in Python; knowledge of C++/Fortran is a plus. - Familiarity with surrogate modelling, regression techniques, and machine‑learning fundamentals. - Analytical mindset, problem‑solving ability, and attention to detail. - Effective written and verbal communication skills. **Required Education & Certifications:** - UK Bachelor’s degree (or equivalent) with a 2.1 or higher in a relevant engineering, physics, or mathematics discipline. - Eligible for an EPSRC DLA studentship (Home or limited international students).

Cambridge, United kingdom

On site

28-01-2026

Company Name: University of Cambridge Vet School
Job Title: Research Associate (Fixed Term)
Job Description: **Job Title** Research Associate – Cellular Biophysics (Fixed Term) **Role Summary** Execute fundamental research on the nanoscale regulation of actomyosin cortex tension, develop quantitative imaging tools, and investigate cortical changes during mitotic entry. **Expectations** - Deliver publishable research outcomes within a 2‑year term. - Develop and refine imaging and analysis pipelines. - Collaborate with senior scientists and contribute to project design. - Maintain rigorous laboratory documentation and equipment. - Present findings at internal meetings and external conferences. **Key Responsibilities** - Design and conduct experiments on actin and myosin organization at the cortex. - Perform quantitative fluorescence microscopy and image analysis. - Apply electron microscopy techniques for structural studies (advantage). - Measure mechanical properties of the cortical actin network. - Analyze and interpret data, generate figures, and prepare manuscripts. - Mentor junior staff and assist in troubleshooting. - Support grant writing and progress reporting. **Required Skills** - Advanced quantitative imaging (confocal, TIRF, super‑resolution). - Proficiency in image analysis (Fiji/ImageJ, Python/Matlab). - Knowledge of cell mechanobiology and actomyosin dynamics. - Experimental design, data handling, and statistical analysis. - Strong written and oral communication; teamwork orientation. **Required Education & Certifications** - PhD (or imminent PhD) in Cell Biophysics, Cell Biology, Biophysics, or related discipline. - Demonstrated experience in quantitative imaging and cell mechanobiology; electron microscopy experience is a plus.

Cambridge, United kingdom

On site

23-02-2026