Marie Skłodowska-Curie Doctoral Network Researcher / Physics based anomaly detection, and diagnostics and AI safety in energy storage systems

About the role

Within the framework of the project “Grid-scale Energy Storage: Imperatives for Accelerating the Green Transition (RESTORATIVE)”, funded by the European Union’s Horizon Europe’s Research and innovation Programme under the Marie Skłodowska-Curie Grant Agreement No. 101227219, at Imperial College London we are seeking a candidate for a research assistant position in Physics based anomaly detection, and diagnostics and AI safety in energy storage systems. The Researcher employed on this post will be expected to register as PhD student and to submit their PhD thesis at the end of their research contract. The topic of the PhD thesis will be related and aligned with the research activities conducted in the project. Please note applicants must not already hold a PhD

RESTORATIVE consists of 17 PhD students at 7 universities and 4 companies. The project has a total of 16 beneficiary and associated partners from 10 different European countries.

The successful applicant will join the Resilient Information Systems Security group, led by Professor Emil Lupu. The main supervisor will be Professor Emil Lupu, and the co-supervisor will be Professor Chris Hankin.

Apart from the time at Imperial two secondments are planned for the position, i.e. one academic secondment of approx. 6 months at Politechnico di Milano, Italy, and one for 3 months at an industry partner in Milan, Italy.

What you would be doing

The position offers an exciting opportunity to conduct internationally leading and impactful research in anomaly detection, and diagnostics and AI safety and security in energy storage systems. The Research Assistant will be responsible for researching implementing and delivering novel machine learning models and anomaly detection systems for energy storage systems that are robust to adversarial attacks.

The postholder is expected to visit the network partners during secondments for a total duration of up to 9 months (6 months + 3 months in Italy). Additionally, the post holder is expected to participate in project meetings, outreach activities including, but not limited to, participation in public events and campaigns, as well as dissemination to popular press.

What we are looking for

To apply for this position, you must have a First Class or Distinction Masters level degree, or equivalent, in a relevant scientific or technical discipline, such as computer science or mathematics. Knowledge and a keen interest in AI and machine learning, are essential for this post.

Please note applicants must not already hold a PhD

Due to the mobility rules of the Marie Skłodowska-Curie program, the applicant must not have resided or carried out their main activity (work, studies, etc.) in the UK for more than 12 months in the 36 months immediately before their recruitment date.

What we can offer you

• The opportunity to continue your career at a world-leading institution
• The Researcher employed on this post will be expected to be registered as a PhD student
• Sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes)

Further information

Full-time, Fixed term contract to start 1st October 2026 until 30th September 2029.