Academic Research Sponsorship Partner

About the Opportunity

Academic project sponsorship is a flexible pathway for companies to engage with 7Epsilon and digital manufacturing innovation at different levels:

• MSc taught / final year / group design projects (2–3 months): Short, affordable, ideal for testing ideas or small challenges.
• Year-in-industry placements (12 months): Students embedded in your company, applying 7Epsilon methods to live processes.
• MSc-by-Research (12 months, via Mechanical Engineering or ZI): A dedicated researcher develops AI-enabled or digital solutions tailored to your challenge. Projects may be engineering-focused (Mechanical Engineering) or AI/data-driven (ZI).
• PhD (3–4 years): Long-term, breakthrough research with access to multi-domain expertise.

Project themes can include:

• AI and Deep Learning methods for manufacturing data.
• Predictive maintenance and diagnostics.
• AI-enabled root cause analysis and FMEA support.
• Automated inspection and digital quality assurance.
• Machine learning and optimisation.
• Industry 4.0 / 5.0 data integration.

Benefits for Sponsorship Partners

• Flexible entry points — from short projects to long-term research.
• Direct access to supervision by Dr Rajesh Ransing.
• Specialist co-supervisors from Zienkiewicz Institute for advanced AI/data topics.
• Applied outputs: case studies, prototypes, or digital tools relevant to your company.
• Talent pipeline: graduates trained in AI-enabled FMEA and digital methods.
• Global access: sponsorship open to companies worldwide.

What You’ll Do

• Sponsor tuition + (for MSc-by-Research/PhD) cost of living for the student.
• Provide a real industrial challenge to guide the project.
• Engage in reviews with Dr Ransing and (where relevant) co-supervisors.

‍