About the Role:
The University of Wolverhampton is seeking an exceptional MSc or PhD graduate to join a pioneering Knowledge Transfer Partnership (KTP) with DryWall Steel Sections Ltd (DWSS), one of the UK's leading Light Gauge Steel (LGS) specialists. This is a rare chance to sit at the intersection of cutting-edge AI research and real-world construction industry transformation.
As an AI Developer (KTP Associate) you will lead the technical design and delivery of a novel, AI-powered platform that will fundamentally reshape how DWSS manages workflows for LGS projects. You will be employed by the University of Wolverhampton and work full-time to the company's [AA2.1] Wolverhampton premises for the 27 month project duration.
Co-funded by Innovate UK and DryWall Steel Sections Ltd, this KTP brings together world-class academic expertise in digital built environments with DWSS's deep industry knowledge. The partnership will deliver measurable efficiency gains through AI-driven automation unique to the LGS construction sector.
Main Duties and Responsibilities include:
The University of Wolverhampton is seeking an exceptional MSc or PhD graduate to join a pioneering Knowledge Transfer Partnership (KTP) with DryWall Steel Sections Ltd (DWSS), one of the UK's leading Light Gauge Steel (LGS) specialists. This is a rare chance to sit at the intersection of cutting-edge AI research and real-world construction industry transformation.
As an AI Developer (KTP Associate) you will lead the technical design and delivery of a novel, AI-powered platform that will fundamentally reshape how DWSS manages workflows for LGS projects. You will be employed by the University of Wolverhampton and work full-time to the company's [AA2.1]Wolverhampton premises for the 27 month project duration.
Co-funded by Innovate UK and DryWall Steel Sections Ltd, this KTP brings together world-class academic expertise in digital built environments with DWSS's deep industry knowledge. The partnership will deliver measurable efficiency gains through AI-driven automation unique to the LGS construction sector.
Main Duties and Responsibilities include:
- Technical Development
- Design, implement, and evaluate AI models to support LGS workflows.
- Build APIs to interface with existing DWSS tools and workflows.
- Implement human-in-the-loop review workflows supporting expert validation and continuous model improvement.
- Produce data dashboards and reporting tools to evidence time savings, efficiency gains, and intervention levels.
- Research, Innovation and Commercialisation
- Apply state-of-the-art research in GenAI, LLMs, and data science to practical construction industry challenges.
- Contribute to academic publications, industry demonstrators, and knowledge dissemination activities.
- Project Management and Stakeholder Engagement
- Plan, monitor, and deliver KTP project milestones on time and within scope.
- Produce progress reports and presentations for senior stakeholders and Innovate UK.
What we are looking for
- Recent MSc or PhD in Computer Science, Data Science, ML/AI, or a closely related discipline.
- Demonstrable experience across the full AI model lifecycle, including training, fine-tuning, evaluation, and deployment.
- Proficiency in Python, C#, or an equivalent programming language.
- Experience building web applications for data science and analytics.
- Familiarity with cloud-based development environments (AWS, Azure, or GCP).
- Experience deploying and managing locally hosted AI tools, including model serving and hardware optimisation.
- Strong analytical and problem-solving skills with an entrepreneurial mindset.
- Excellent written and verbal communication skills including the ability to engage effectively with both technical and non-technical stakeholders.
This role offers a competitive salary alongside a dedicated personal training and development budget to invest in building your skills across the life of the project. You will also have the opportunity to attend the fully funded KTP residential leadership and management programme facilitated by Innovate UK. Working closely with leading researchers in the Digital Built Environment at the University of Wolverhampton, you will have the opportunity to contribute to academic publications and develop a credible research profile that runs alongside your industry delivery.
There will be the opportunity to interact with company staff, industrial partners, clients as well as University of Wolverhampton academics. The role will allow you to apply you knowledge to a commercial project, finding creative innovative solutions to industry problems.
For an informal discussion about the post please contact Professor David Heesom at the University of Wolverhampton ([email protected])
University of Wolverhampton Recruitment Statement
Freedom of Speech and Academic Freedom
The University of Wolverhampton recognises and protects the rights to freedom of speech and academic freedom, within the law.
We are committed to ensuring that lawful expression of ideas, beliefs and opinions — including those that may be controversial or unpopular — does not result in disadvantage in recruitment, employment or progression.
An offer of employment at the University of Wolverhampton will never be denied based on an individual’s lawful expression of their beliefs, ideas or opinions.
Equality, Diversity and Inclusion
The University of Wolverhampton is an equal opportunities employer and welcomes applications from all sections of the community.
We are committed to:
- preventing unlawful discrimination and harassment.
- promoting equality of opportunity.
- fostering an inclusive environment where colleagues are treated with dignity and respect.
We strive to create a workplace in which colleagues have the confidence and freedom to be themselves, while working professionally and in accordance with equality legislation and University policies.
Guidance on AI-Assisted Applications
We recognise that applicants may use AI tools to support the preparation of their applications. However, submissions must reflect your own experience, achievements and motivations.
We want to understand what you personally bring to the role. Please ensure your application accurately represents your own voice and capabilities.
Flexible Working
We recognise the value of flexible working arrangements and are open to discussion wherever possible.
Your Benefits:
Competitive salaries
Standard Life Pension scheme – with employer contribution of up to 12% to the University's defined contribution scheme.
Long Service Recognition – £200 gift voucher, certificate, and afternoon tea with Vice Chancellor for 25 & 40 years of service.
Free Will Writing Service – Complimentary will drafting for employees and their partners.
IT & Mobile Discounts – EE Perk (20% off for family & friends) & software discounts.
Supporting Your Health & Wellbeing
Wellbeing and Mental Health Support – 24/7 access to EAP service, free counselling sessions, wellbeing support resources and Occupational Health Service.
Gym memberships discounts – at our Walsall Campus and discounts at WV Active sites in Wolverhampton.
Eyecare Support – Free eVoucher for eye tests and glasses contribution.
Flu Vouchers – Free flu vaccinations for staff.
Paycare Health Benefit Plan – Covers optical, dental, physiotherapy, and personal accident insurance.
Chaplaincy & Prayer Rooms – Access to multi-faith chaplaincy services.
Valuing You:
Generous Annual Leave (see table below)
Flexible & Agile Working – Flexible and Hybrid working arrangements.
Free On-site Parking – available across campuses.
Cycle Benefits Scheme – Save up to 42% on a bike & accessories via salary sacrifice.
Tusker Electric Vehicle Scheme – Electric cars via salary sacrifice.
Employee Discounts – Savings on groceries, fashion, and entertainment.
Travel Discounts – Up to 10% off holidays through Sodexo Circles.
Training and Development
Staff Network and Inclusion – Access to support networks and events with our LGBTQ+, Global Majority, Disability, and Women's networks.
Library Access – Staff have access to books and resources at our onsite libraries.
Staff Scholarship Scheme – Funding for part-time higher education, up to PhD level.
Leadership and Management Development – Access to training opportunities to support you with advancing in your career.
