Job Description

24 Month Duration


30,000 - 40,000 (plus 4,000 training budget


Hastings, UK

University of Edinburgh, University of Oxford and Photonic Science and Engineering Ltd (PSEL)

Innovate UK Knowledge Transfer Partnership (KTP) Opportunity

------------------------------------------------------------------------------------------------------------------------------------------------------------------

About the Project:

This Innovate UK-funded Knowledge Transfer Partnership (KTP) bridges cutting-edge research with industrial innovation. You'll work within PSEL's team to develop groundbreaking software for Laue X-ray diffraction analysis, translating academic expertise from the University of St. Andrews and the University of Oxford's physics departments into scalable solutions for materials science.

Why This Role?

Lead a high-impact project: Your work will directly enhance PSEL's capabilities in single crystal analysis, with potential for commercialisation. Dual mentorship: Embedded at PSEL's facility with academic supervision from the University of Edinburgh. Career growth: Access 4,000 for tailored training (technical & leadership) and KTP's national support network.

Key Responsibilities

1. Design and optimize software for Laue pattern analysis, prioritizing computational efficiency.

2. Develop novel algorithms for real-time data processing and automated crystal alignment.

3. Build mathematical models linking hardware control to analytical workflows.

4. Transfer knowledge to PSEL's engineering team, ensuring long-term adoption.

5. Analyse market needs to prioritize features and guide development strategy.

6. Validate systems using experimental data and iterative feedback from end-users.

7. Document progress through technical reports and presentations to stakeholders.

8. Disseminate results via conferences/publications (with IP protection).

Ideal Candidate

PhD (or near completion) in Computer Science, Physics, Materials Science, or related field. Expertise in algorithm development, numerical methods, or high-performance computing. Proficient in Python/C++ and scientific libraries (e.g., NumPy, SciPy). Bonus: Familiarity with X-ray diffraction/materials science. Strong communication skills to bridge academia/industry.

KTP Benefits

Salary: 30,000 - 40,000 (plus 4,000 training budget). Duration: 24 months. Support: Mentorship from both university and industry experts. Future Prospects: Potential for continued employment.
#

How to Apply

To apply for this position please email a copy of your CV and cover letter to recruitment@photonicscience.com





#

How to Apply

To apply for this position please email a copy of your CV and cover letter to...



info@photonicscience.com