Job Summary Table of Senior Research Fellow

Job Description Summary

The University of Nottingham seeks a Senior Research Fellow to lead a multi-university, industry-supported project focused on developing predictive models for friction welding. This role offers an exciting opportunity to contribute to cutting-edge research in mechanical engineering and material science.

Responsibilities

• Lead and perform high-quality research as part of a collaborative team within the Mechanical and Aerospace Systems Research Group (MAS).
• Oversee the development of efficient numerical modeling schemes for predicting machine response and condition from production data inputs.
• Coordinate experimental activities at the University of Nottingham’s mechanical testing laboratories and industrial partner facilities.
• Liaise with internal and external stakeholders, managing commercially confidential data and project milestones.
• Create written reports and presentations for stakeholders, and contribute to academic publications.
• Participate in group collaboration activities, including seminars and training sessions.

Benefits and Perks

• Opportunity to work on industry-relevant research projects
• Collaboration with leading academic institutions and industrial partners
• Access to advanced research facilities and equipment
• Professional development opportunities
• Competitive salary and benefits package (details not specified)

Company Overview

The University of Nottingham is a world-class institution known for its excellence in research and teaching. The Mechanical and Aerospace Systems Research Group (MAS) is a multidisciplinary team of researchers, engineers, technicians, and academics working on cutting-edge projects across various technological readiness levels.

Company Culture

The University of Nottingham fosters a culture of innovation, collaboration, and academic excellence. The MAS research group encourages interdisciplinary work and values both fundamental and applied research. The university is committed to embedding equality, diversity, and inclusion in all aspects of its operations.

Career Growth Opportunities

This position offers significant opportunities for career advancement in both academic and industrial settings. The successful candidate will:

• Develop expertise in advanced modeling techniques and experimental methods
• Build a network of contacts across academia and industry
• Contribute to high-impact publications and research outputs
• Gain experience in project management and stakeholder engagement

Diversity, Equity, Inclusion, and Belonging

The University of Nottingham is focused on embedding equality, diversity, and inclusion in all that we do. We welcome a diverse population to join our workforce and encourage applicants from all communities, particularly those with protected characteristics under the Equality Act 2010.

Equal Opportunity Statement

The University of Nottingham is an equal opportunity employer and is committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other protected characteristic.

Remote Work Policy

This position is based on-site at the Jubilee Campus, ETB. While some flexibility may be available, the nature of the experimental work requires a significant on-site presence.

Application Process

1. Review the job description and ensure you meet the essential criteria
2. Prepare your CV and a cover letter highlighting your relevant experience
3. Submit your application through the University of Nottingham’s online job portal
4. If shortlisted, participate in an interview process, which may include a presentation on your research experience

Application Deadline

Info not available

How to Apply

To apply for this position, please visit the University of Nottingham job portal and follow the application instructions provided.

Social Media Links

• University of Nottingham LinkedIn
• University of Nottingham Twitter
• University of Nottingham Facebook

FAQs or Additional Information

Q: What specific skills are required for this position?

A: The ideal candidate should have expertise in numerical modeling, experimental methods for mechanical characterization, and an understanding of deformation mechanisms in metallic materials. Experience with severe deformation manufacturing processes and finite element methods is highly desirable.

Q: Is there an opportunity to collaborate with other institutions?

A: Yes, this project involves collaboration with multiple academic institutions and industrial partners, providing excellent networking opportunities.

Q: What are the key research areas for this project?

A: The project focuses on developing predictive models for friction welding, including linear and inertia methods. Key areas include machine-level modeling, flow stress analysis, and microstructural investigations using advanced imaging techniques.

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