Lecturer

University of Bath; Bath; On-site; GBP 47,389 - 56,535; Full time

Benefits offered by this job

Generous annual leave

Pension schemes

Cycle to work scheme

Electric vehicle salary sacrifice

Job summary

University of Bath invites applications for a Lecturer in Power Systems and AI in energy, to supervise postgraduate research and deliver high-quality teaching. The role focuses on strengthening the power systems research portfolio within the Department of Electronic & Electrical Engineering and shaping future energy networks.

The appointee will develop research with national/international impact, engage in teaching across undergraduate and postgraduate programs, and contribute to strategic

Qualifications

• PhD required with undergraduate degree in Electronic and Electrical Engineering (or closely related).
• Experience in research supervision and postgraduate teaching.
• Strong alignment to power systems engineering and AI in energy.
• Ability to develop a research portfolio with national/international impact.

Responsibilities

• Provide postgraduate supervision and high-quality research and teaching.
• Build a research portfolio with national and international impact.
• Contribute to teaching across postgraduate and undergraduate courses.

Skills

Power systems

AI in energy

Energy markets

Data analytics

Education

PhD in Electronic & Electrical Engineering

Bachelor's degree in EEE

Job description

Department Electronic & Electrical Engineering

Salary Starting from £47,389, rising to £56,535

The Department of Electronic and Electrical Engineering at the University of Bath is seeking to appoint a lecturer with a strong alignment to power systems engineering and artificial intelligence to provide excellent postgraduate research supervision and deliver high-quality research and teaching. We are looking for outstanding researchers to enhance our research, join an expanding and ambitious department, and to shape the energy systems of the future in a vibrant and inclusive environment and to engage with plans to grow teaching in these areas with strategic partnerships.

Our electrical power systems research area is a key part of theCentre for Sustainable Energy Systems and has a reputation for strong scientific contributions to scalable and resilient energy network, data and digitalisation and market modelling and analyses. We have delivered tools and evidence for the UK Government, the energy regulator and wider industry for introducing new industrial standards, practices, and policies to accelerate the net zero transition. We are at the forefront of energy system data and digitalisation through our engagement with the government’s Energy System Digital Spine project. We deliver training course in network pricing for the UK’s energy regulator Ofgem, an annual Power Markets Training Course to national policy makers outside the UK, in conjunction with the Foreign and Commonwealth Development Office, the World Bank, and the University of Cambridge.

The successful applicant will build a research portfolio with potential for national and international impact. They will help the department equip our students with the ability to make outstanding contributions in the world around them, by fostering advanced knowledge and practical skills, and they will support and develop courses that are intellectually bold and academically stimulating.

About you

We are interested in applicants with core expertise in power engineering, and an interest in energy networks in general and the application of artificial intelligence (AI) in energy systems.

• Power system operation, security and resilience
• Energy markets and regulation
• Applications of AI and data science in energy system operation and development
• Renewable energy production and utilisation and AI

The successful applicant will have a track record in fundamental and applied power systems research and artificial intelligence, with the potential to develop a research portfolio, and a key interest in educating the next generation of power engineers that are fit for the low carbon future.

You will hold a PhD and an undergraduate degree in Electronic and Electrical Engineering or a very closely related subject. Through your research and teaching, you will be passionate about addressing the global challenges and educating the next generation of electronic and electrical engineers. This role will suit you if you:

• Demonstrate a clear fit to the Department’s research profile including the application of artificial intelligence and machine learning in your research area, and the ability to win and deliver research grants.
• Are passionate about teaching and have the ability to teach a wide range of electronic and electrical engineering subjects at both postgraduate and undergraduate levels on all our courses.
• Have a growing publication record and international reputation appropriate to your career stage.
• Enjoy working in a collaborative, diverse and supportive environment.

Working with us

You will be joining a progressive and thriving academic environment and will benefit from the collaborative and well-established Department and Faculty systems at the University of Bath. This includes a strong mentoring and personal & professional development environment in the Department, and the University’s professional development programme for new lecturers. The lifestyle advantages of working and living in one of the most beautiful and accessible areas in the UK are an added attraction.

2. a 2-page (max) Research plan and philosophy

3. a 1-page (max) Teaching philosophy that indicates which of our subjects you can teach

Recruitment Process

2. Panel presentation and interview (In-person)

3. Networking with current staff (In-person)

(Dates to be confirmed)

We consider ourselves to be a university where difference is celebrated, respected and encouraged. We have an excellent international reputation with staff from over 60 different nations and have made a positive commitment towards gender equity and intersectionality receiving a Silver Athena SWAN award. We truly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and students and encourage applications from all genders, backgrounds, and communities, particularly from under-represented groups, and value the positive impact that will have on the university. We are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our Safer Recruitment commitment.

We’re continually expanding our benefits package to better support you and enhance your experience with us and the below is just an example of some of the many great benefits we offer:

• Generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work life balance
• Generous employer contributory pension schemes
• Cycle to work scheme
• Electric vehicle salary sacrifice scheme
• Staff discount at Team Bath gym
• Staff benefits include discounted postgraduate tuition and language courses, alongside a wide range of personal and professional development opportunities such as apprenticeships, LinkedIn Learning, and more
• Local discounts, including free entry to the Holburne Museum in Bath
• An excellent reward package that recognises the talents of our diverse workforce
• Employee assistance services through Health Assured, including access to the Wisdom app

We’re committed to creating a health-supporting working environment where everyone can thrive and be at their best. We offer a range of resources to enable you to do that from your first day here, including:

• Staff support groups and networks
• A network of Staff Wellbeing Champions
• A suite of tools, resources and frameworks that enable you to be at your best and thrive

Right to Work in the UK:We do not assess immigration or right to work status until offer stage. Being invited to interview does not guarantee you are eligible for visa sponsorship and all offers are conditional on meeting right to work requirements. Further information is available on ourapplication support webpage.

Anonymous shortlisting: We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name, may be removed from application forms at the initial shortlisting stage.