Doctoral research

We support a growing cohort of doctoral research students from diverse engineering backgrounds, data analytics, computer science and social sciences to work on interdisciplinary Inclusive Engineering research topics.

These studentships will develop diverse future leaders with expertise in EDI practices within engineering research and technology development.

We welcome queries from prospective PhD students. If you would like to discuss a self-funded opportunity, please contact a member of the Inclusive Engineering team

Please review the Loughborough University PhD opportunities web page for both funded and self-funded studentships.

We consider a wide range of perspectives and voices contributing to project design to improve diversification in our research, enabling effective research action plans and developing an inclusive research culture.

Inclusive Engineering doctoral research projects

We are delighted to have successfully recruited to the opportunities described below. Please review the projects in which our students are engaged.

Building equitable STEM futures: An AI-powered mentorship system for early careers women in engineering
Timipado Silikowei-Imomotebegha

Timipado Silikowei-Imomotenegha

Student: Timipado Silikowei-Imomotebegha
Supervisors: Dr Elizabeth Ratcliffe and Dr Laura Justham 
School: Aeronautical, Automotive, Chemical and Materials Engineering
Funding source: School scholarship, Inclusive Engineering Excellence Hub 

Timipado is researching computational empathy, technical AI governance and AI safety within human-AI relationships.

Her aim is to build personality-aware AI mentorship systems for early career women in STEM, and develop behavioural evaluation methodologies for relationship-forming AI and privacy-preserving infrastructure for intimate AI systems.

Her interdisciplinary work bridges cognitive science, machine learning and responsible AI frameworks to establish evaluation methodologies applicable to broader AI safety challenges.

Alongside her PhD research, Timipado is a Data Science Facilitator in Defence and Data Science with The Alan Turing Institute. This role sees her touring UK universities to talk to students about careers in data science and defence.

Email Timipado

Creating equitable placement and employment processes for diverse engineering graduates
Nada Yusuf

Nada Yusuf

Student: Nada Yusuf 
Supervisors: Dr Laura Justham and Dr Elizabeth Ratcliffe 
School: Mechanical, Electrical and Manufacturing Engineering
Funding source: School Scholarship, Inclusive Engineering Excellence Hub 

Nada is investigating the current inclusive placement and employment strategies within UK engineering that are designed to recruit a diverse cohort of engineering graduates.

By focusing on gender, race, ethnicity, disability, neurodiversity and socio-economic factors, her research is dissecting how identity affects the career outcomes of engineering graduates.

Using a mixed-methods approach - including policy analysis, surveys and participatory workshops - she is examining discipline-specific factors across engineering sectors.

Nada's co-creation-based methodology will ensure that universities, industry and students collaborate to develop interventions that drive transformational change, inform strategies and policies, ultimately helping to diversifying the future UK engineering workforce.

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Harnessing AI and machine learning for decoding educational disparities
Sona Hashempour

Sona Hashempour

Student: Sona Hashempour
Supervisors: Dr Elizabeth Ratcliffe and Professor Karen Coopman 
School: Aeronautical, Automotive, Chemical and Materials Engineering
Funding source: Inclusive Engineering Vice Chancellor’s Research Cluster Scholarship 

Cross-national empirical evidence on how wealth inequality interacts with educational access and gender parity remains fragmented. Global datasets vary in coverage, comparability and temporal resolution, constraining longitudinal analysis.

Sona is creating harmonised, SDG-aligned data structures capable of revealing systemic relationships between inequality trajectories and educational outcomes. By integrating quantitative inequality metrics with indicators of educational participation and attainment, she is building causal and predictive modelling using econometric and machine learning methods for analysing educational equity.

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Impact of role models on under-represented girls’ decisions to pursue careers in engineering
Donna Otchere

Donna Otchere

Student: Donna Otchere
Supervisors: Professor Ksenia Chmutina and Prof Sheryl Williams 
School: Architecture, Building and Civil Engineering
Funding source: School scholarship, Inclusive Engineering Excellence Hub 

Donna is investigating the impact of role models by evaluating the barriers and enablers for under-represented girls’ access. To garner insight from students, educators and role models, she is using mixed methods approaches.

By assessing the effectiveness of strategies, she will design educational games integrating role models and engineering career exploration.

Meanwhile, she is facilitating collaboration between educators and role models to implement these strategies and assess their impact on girls’ attitudes towards engineering disciplines and career pathways.

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Bridging physical and digital disability divides: Evaluating and innovating accessible technologies for inclusion, empowerment and resilience
Msafiri Ngololo

Msafiri Ngololo

Student: Msafiri Ngololo
Supervisors: Dr Laura Justham and Dr Elizabeth Ratcliffe 
School: Mechanical, Electrical and Manufacturing Engineering
Funding source: Inclusive Engineering Vice Chancellor’s Research Cluster Scholarship 

By analysing lived experiences, Msafiri is examining how physical and digital environments enable or restrict inclusion, empowerment and resilience for people with mobility and visual impairments.

Through the co-creation of evidence‑based recommendations and evaluation of how the design, development and implementation of innovative accessible technologies and inclusive smart systems, he is building strategies to better support inclusion, empowerment and resilience.​

His research is aligned with disability inclusive development, accessibility and disaster risk reduction frameworks in Tanzania and across Africa.

Email Msafiri

Integrating assistive technologies into extended reality: Enhancing inclusivity and accessibility in engineering education
Joshua Hartnett

Joshua Hartnett

Student: Joshua Hartnett
Supervisors: Professor Sheryl Williams and Dr Elizabeth Ratcliffe 
School: Mechanical, Electrical and Manufacturing Engineering
Funding source: Inclusive Engineering Vice Chancellor’s Research Cluster Scholarship 

Joshua is investigating the integration of assistive technology (AT) into extended reality (XR) and how assistive products can be combined with XR to expand access to engineering education across multiple disciplines.

He is examining contemporary inclusive practices and the integration of new assistive products to facilitate greater interaction options for people with physical disabilities. Alongside this, he is exploring the integration of large language models (LLM) as an assistive technology in immersive learning environments, where it can support the communication and accessibility of people with diverse cognitive needs.

By evaluating the technical feasibility and pedagogical value of his approach, he will develop best practice that reduces barriers for learners across engineering disciplines. 

Email Joshua

Engineering the unseen: A deep dive into intersectional barriers
Laurene Marquesane Oliveira Da Silva

Laurene Marquesane Oliveira Da Silva

Student: Laurene Marquesane Oliveira Da Silva
Supervisors: Dr Elizabeth Ratcliffe and Professor Catherine Armstrong 
School: Aeronautical, Automotive, Chemical and Materials Engineering
Funding source: Inclusive Engineering Vice Chancellor’s Research Cluster Scholarship 

Though well established in sociology, law and gender studies, considerations of intersectionality remain limited in engineering. Laurene is plugging this gap by advancing the integration of intersectionality into empirical analysis of UK engineering education and careers.

She is developing an Intersectional Disadvantage Model (IDM), a mixed-methods framework designed to combine large-scale quantitative modelling with qualitative exploration of lived experiences. This will quantify and interpret compounded gender, race and class impacts on early-career trajectories among under-represented UK engineers.

Her research will examine how multiple axes of inequality intersect to shape both structural outcomes and everyday professional realities - underpinning the development of a Contextual Intersectional Framework (CIF) to adapt intersectionality to the UK context.

Email Laurene

Situating lived experience within Inclusive Engineering: contributing to the growing case for decolonising engineering and establishing IE as a recognised field.
Shivani Sud

Shivani Sud

Student: Shivani Sud
Supervisors: Dr Elizabeth Ratcliffe and Professor Catherine Armstrong 
School: Aeronautical, Automotive, Chemical and Materials Engineering
Funding source: Inclusive Engineering Vice Chancellor’s Research Cluster Scholarship 

Subverting the narratives which foreground marginalised communities as deficient in ‘science capital’. What if the seeds of IE competencies are planted into marginalised communities precisely by their experiences of marginalisation?

Shivani is investigating how the experiential resources individuals yield from living exclusionary engineering can be cumulatively situated as a decolonial conceptualisation of capital within IE.

She will host applied storytelling workshops to capture the lived experiences of prospective and incumbent inclusive engineers from marginalised communities.

By cross-thematically analysing these stories, she will draw syntheses which inform IE workshop career scenarios exploring two key issues:

  • Can engineers ascertain centrality of co-design to IE?
  • Can marginalised individuals harness their experiential resources as foundational to their IE identities and ascertain exchange value of their experiential resources as collective IE capital? 
Email Shivani