Job Description

Salary:

37,694 - 46,049

FTE:

1 (35 hours/week)

Term:

Fixed Term (Until 31/12/2026)

Closing Date:

28/01/2026



The Department of Electronic and Electrical Engineering (EEE) within the Faculty of Engineering is looking to fill a Research



Associate post to work on a UKRI-funded JED-AI (Justice, Energy, Demand flexibility and AI) project.



JED-AI project brings together electrical engineering and social science to develop an inclusive methodology for learning
about and strengthening households' capabilities to participate in energy demand flexibility services through
interdisciplinary co-designed household segmentation and interventions. The aim is to help realise a more just and
sustainable net-zero transition. JED-AI will provide clear answers to the following research questions: 1. How do different
household-and community- scale attributes and capabilities shape, enable and constrain household participation and
engagement in energy demand flexibility? 2. How can AI analysis be combined with social science insights to generate
more just and sustainable interventions in energy demand flexibility? 3. What are the key productivities, effects, challenges
and benefits of interdisciplinary approaches to stimulating equity and justice in the net zero transition?



Through mixed methods analysis, JED-AI will explore how social science data and methodologies can enhance the
trustworthiness of AI-based recommendations as well as how engineering-designed AI recommendations can provide an
evidence-base to scale up social science intervention methods. The lessons learnt will have much wider implications in the
way AI-informed energy demand research is designed and deployed for trials, taking advantage of the detail from social
science processes to reduce risk of harmful decisions and removing human agency, and embedding inclusiveness and
fairness.



The University of Strathclyde is a top research-oriented university in Scotland, founded in 1796 and located in the centre
of Glasgow. With over 20,000 students and over 3,200 staff members, Strathclyde is Scotland's third largest university.
Strathclyde is one of the top performing research universities in the United Kingdom, and the only university that has twice
been awarded Times Higher Education University of the Year. Some other recent awards include Times Higher Education
2019 Widening participation Initiative of the Year, The Queen's Anniversary prize for Higher and Further Education award
(which is presented to a small selection of UK institutions every two years and is the highest national honour awarded to
the sector), The Sunday Times 2020 Scottish University of the Year, The Herald Higher Education Institution of the Year
(2018) with QS-5star rating.



Strathclyde is home to Scotland's largest Faculty of Engineering, with over 5000 students and 8 departments. EEE
Department is considered among top UK departments in Electrical and Electronic Engineering. It is one of the largest in the
UK with 500 research staff, including over 60 academic staff members, 110 researchers and 250 PhD students. EEE is a
host to several unique research facilities and Centres of Excellence located in the newly-built Technology Innovation Centre
where up to 1200 researchers, engineers and project managers from academia and industry work side-by-side.
Your research at EEE, Strathclyde will focus on developing novel approaches to mixed quantitative/qualitative methods
analysis to strengthen capabilities of households to participate in demand flexibility services. This include developing AI-
driven recommendation tools that will be used in field studies whose aim is to improve our understanding on how
engineering and socio-technological work can be brought together to ensure just and inclusive net zero transition. You
would lead engineering input in the field study and work together with social science teams at University of Oxford and
University of East Anglia to design inclusive low carbon technologies that will enable all household groups to actively engage
in demand flexibility services.



You will conduct literature reviews, collect and collate data, develop novel and innovative algorithmic solutions, develop
software, and undertake and record the outcomes of experiments. You will manage and prioritise your own workload and
ensure that all activities are completed to deadlines and you will write up the results of your own research and contribute
to the production of research reports, project deliverables and academic publications.



To be considered for the role, you will hold a PhD in Computer Engineering, Electrical and Electronic Engineering or
equivalent. You will have sufficient breadth and depth of knowledge in energy end-use, machine learning or signal processing
with good programming experience (Python). You will have knowledge of appropriate research methods, have an ability to
plan and prioritise your own workload, work independently, and you will have an ability to work within a team environment.
You will have excellent interpersonal and communication skills, with the ability to engage and persuade, and to present
complex information in an accessible way to a range of audiences.


Whilst a Post-Doctoral Research Associate is ideally sought for this position; applications from candidates who are close

to PhD completion or whose award is pending, are welcome. In such circumstances, the appointment will be made at
Research Assistant level (RS06 salary scale 33,002 - 36,636) and duties will be adjusted to reflect the grade of the post.
This will continue until the PhD award is confirmed, at which point the duties and grade will be revised accordingly.



Informal enquiries about the post can be directed to Professor Vladimir Stankovic, vladimir.stankovic@strath.ac.uk.


Formal interviews for this post will be held on Wednesday, 4 February 2026