Lecturer in Data Analytics and Sustainability(UK Visa Sponsorship)

Job Description

About the Role

The UCL Energy Institute is seeking to appoint a Lecturer in Data Analytics and Sustainability with strong expertise in machine learning, artificial intelligence, and advanced data analytics applied to the energy sector.

This role combines research, teaching, and academic leadership, with a particular focus on supporting the energy transition through data-driven approaches. The successful candidate will contribute to undergraduate and postgraduate programmers while building a high-quality research portfolio aligned with sustainability, energy systems, and digital innovation.

In addition to teaching core modules, the postholder will play a leadership role within the MSc Energy Systems and Data Analytics (ESDA) programme, serving as Deputy Programme Director.

Key Responsibilities

Teaching and Education

Deliver and coordinate teaching across BSc, MEng, and MSc programmes, including:

• Energy Systems and Data Analytics
• Sustainable Built Environments
• Energy and Resources
• Design and teach core modules in data analytics, machine learning, and AI
• Supervise undergraduate and postgraduate dissertations and projects
• Act as personal tutor to students at different stages of study
• Develop research-led teaching in line with UCL’s Connected Curriculum
• Set, mark, and assess coursework and examinations, providing constructive feedback

Research and Academic Leadership

• Develop an independent and collaborative research portfolio in energy data analytics
• Publish high-quality research and seek external research funding
• Contribute to interdisciplinary research across energy, transport, buildings, and policy
• Support programme leadership and contribute to departmental and institutional service

Person Specification

Essential Criteria

• PhD (or near completion) in a quantitative discipline such as data science, engineering, applied mathematics, or computer science
• Doctoral research directly relevant to energy systems, sustainability, or the energy transition

Strong expertise in:

• Supervised and unsupervised machine learning
• Deep learning and optimisation techniques
• Energy, transport, or building data modelling

Research experience in areas such as:

• Time-series forecasting
• Reinforcement learning for smart grids or energy optimisation
• Causal inference and policy evaluation
• Demonstrated ability to teach complex analytical methods effectively
• Commitment to inclusive teaching and supporting diverse student cohorts

Immigration and Visa Sponsorship

UCL holds a Home Office sponsor licence and welcomes applications from international candidates. Appointment is subject to meeting eligibility requirements under UK Visas and Immigration regulations.

Relevant UK Government resources:

Skilled Worker visa: https://www.gov.uk/skilled-worker-visa

What UCL Offers

UCL provides a supportive and rewarding working environment, including:

• 41 days of leave per year (annual leave, bank holidays, and closure days)
• Option to purchase up to 5 additional days of annual leave
• Defined benefit CARE pension scheme
• Relocation and immigration support for eligible staff
• On-site nursery and gym facilities
• Season ticket loans and cycle-to-work scheme
• Enhanced parental leave policies
• Employee assistance and wellbeing services
• Discounted private medical insurance
• Full details are available via UCL’s reward and benefits portal.

Equality, Diversity and Inclusion

UCL is committed to building a diverse and inclusive academic community where everyone can thrive. We actively encourage applications from candidates who are underrepresented in higher education, including individuals from ethnic minority backgrounds, disabled people, LGBTQI+ communities, and women in senior academic roles.

The department holds an Athena SWAN Silver Award, recognizing sustained progress and measurable impact in advancing gender equality.