Job Description
About Us
This Knowledge Transfer Partnership (KTP) role provides a unique opportunity for postgraduates or postdoctoral researchers to build a career bridging industry and academia. The position focuses on developing data-driven solutions to help manage moisture and mould problems in homes, with real-world applications that directly improve housing quality and community health.
You’ll work in collaboration with the University College London (UCL) and the Centre for Energy Equality, applying advanced data analysis, statistical modelling, and IoT sensor technologies to create tools that guide practical interventions for landlords, tenants, and housing providers.
The project combines academic excellence with industry engagement and is supported by a steering board of experts from academia, housing, and non-profit sectors.
About the Role
The KTP Associate will lead a project aimed at understanding and predicting moisture and mould risk in UK homes by analysing sensor data and building stock characteristics. The goal is to develop reliable metrics that identify at-risk properties and design effective mitigation strategies.
Key responsibilities include
Analysing time-series data from sensors to model moisture behaviour and mould formation.
Developing and managing data pipelines for sensor data collection, storage, and cloud integration.
Using simulation software to classify moisture-producing events.
Coordinating multiple project work packages and maintaining progress.
Working closely with academics, community partners, and housing providers.
Preparing case studies from real-world trials to ensure technology relevance and scalability.
Publishing research in collaboration with UCL and industry teams.
As part of the national KTP programme, you will also have access to:
A dedicated professional development budget.
A wide network of Associates across disciplines.
Training, mentoring, and career support opportunities.
About You
You will have:
A postgraduate or doctoral degree in building physics, environmental science, computer science, or a related field.
Strong skills in data analysis, statistical modelling, and time-series analysis.
Excellent communication and project management abilities.
A collaborative and self-motivated approach to research and problem-solving.
The ability to engage with a wide range of stakeholders, from academic experts to community partners.
You will work closely with UCL’s energy modelling and net zero teams and with the Centre for Energy Equality to ensure that your work delivers measurable, lasting impact in tackling damp and mould across UK homes.
What We Offer
In addition to a rewarding and high-impact project, UCL offers a range of benefits, including:
41 days of holiday (27 annual leave, 8 bank holidays, 6 closure days)
Option to purchase up to 5 extra days annual leave
Defined benefit CARE pension scheme
Cycle to Work and Season Ticket Loan schemes
Immigration and relocation support (where eligible)
On-site nursery and gym
Enhanced parental pay (maternity, paternity, adoption)
Employee Assistance Programme and staff wellbeing services
Discounted medical insurance
Equality, Diversity and Inclusion
UCL is proud to be London’s Global University, and we are committed to creating a workplace that values diversity and inclusion. We particularly welcome applications from ethnic minority candidates, disabled individuals, LGBTQI+ people, and women (for senior roles), who are underrepresented in our workforce.
The department holds an Athena SWAN Silver Award in recognition of its work promoting gender equality.
Attached documents, including the Talentlink Candidate Guidance, are available for download at the bottom of the job page.
UCL welcomes international applicants and can sponsor visa applications, subject to UKVI eligibility requirements.