PhD Researcher: Physics‑Driven AI for Energy Storage Safety in London

PhD Researcher: Physics‑Driven AI for Energy Storage Safety in London

London Trainee 30000 - 40000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Conduct groundbreaking research in AI safety and anomaly detection for energy storage systems.
  • Company: Join Imperial College London, a top global university driving impactful scientific research.
  • Benefits: Enjoy a competitive salary, 41 days off, and excellent career support.
  • Other info: Collaborate with a diverse team across Europe and gain international experience.
  • Why this job: Make a real difference in the green transition while pursuing your PhD.
  • Qualifications: First Class or Distinction Masters in a relevant field; passion for AI and machine learning.

The predicted salary is between 30000 - 40000 £ per year.

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, we are seeking a candidate for a research assistant position in physics-based anomaly detection, diagnostics, and AI safety in energy storage systems. The Researcher employed on this post will be expected to register as a 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.

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. All 17 PhD projects fall within the overall theme of grid-scale energy storage technologies, but investigate the topic from different perspectives, including technological development, reliability and security, integration and coupling, socioeconomic and environmental assessment, and policy and regulation.

The successful applicant will join the Resilient Information Systems Security group, led by Professor Emil Lupu. The activities within the project will benefit from synergies with other projects in the group as well as with other activities at the department. 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 Politecnico di Milano, Italy, and one for 3 months at an industry partner in Milan, Italy. In addition, there will also be project meetings and common gatherings and trainings with the other 16 PhD students in the doctoral network, including 3 summer/winter schools in Denmark and Italy and 2 online workshops.

The position offers an exciting opportunity to conduct internationally leading and impactful research in anomaly detection, 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. We consider taking a “physics-informed” approach, improving explainability and aiming to impose an unacceptable trade-off to the adversary between being detected and reaching attack objectives. 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.

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 awarded by colleges recognized overseas universities/institutions. Knowledge and a keen interest in AI and machine learning are essential for this post. Please note applicants must not already hold a PhD. Overseas applicants for whom English is not the first language must provide evidence of a satisfactory command of English before commencing the programme. Full details of our English language requirements can be found on our website.

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. As doctoral training networks aim at the recruitment and training of PhD students, the preferred candidates selected after the interviews will be required to apply and be accepted onto the PhD programme prior to receiving a contract of employment.

The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity. Grow your career: gain access to Imperial’s sector-leading dedicated career support for researchers as well as opportunities for promotion and progression. Sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes). Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing.

Full-time, fixed term contract to start 1st October 2026 until 30th September 2029. In addition to completing the online application, candidates should attach a full CV, a supporting statement outlining the motivations for applying for this project, and a PhD, relevant academic and professional experience to date, interests, future career aspirations, as well as the ability to gain from and contribute to the College community. A 3-5 page research statement outlining your views and knowledge in the general area of this post, research issues that you see would need addressing and your initial ideas on the research methodology would be suitable to address the research issues. The research statement should refer to existing scientific literature using bibliographic references and should be your own original work.

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above. We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.

Welcome to Imperial, a global top ten university where scientific imagination leads to world-changing impact. Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world’s toughest challenges. Whatever your role, your contribution will have a lasting impact. As a member of our vibrant community of 22,000 students and 8,000 staff, you’ll collaborate with passionate minds across nine London campuses and a global network. This is your chance to help shape the future. We hope you’ll join us at Imperial College London.

We work towards equality of opportunity, to eliminating discrimination, and to creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities. Our values are at the root of everything we do and everyone in our community is expected to demonstrate respect, collaboration, excellence, integrity, and innovation.

PhD Researcher: Physics‑Driven AI for Energy Storage Safety in London employer: SONICOM

Imperial College London is an exceptional employer, offering a unique opportunity to engage in groundbreaking research within a collaborative and inclusive environment. As part of the Marie Skłodowska-Curie Doctoral Network, you will benefit from extensive career support, generous remuneration, and the chance to work alongside leading experts while contributing to impactful projects that address global challenges in energy storage safety. With access to diverse resources and a vibrant community, your professional growth and well-being are prioritised, making it an ideal place for aspiring researchers.

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Contact Details:

SONICOM Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land PhD Researcher: Physics‑Driven AI for Energy Storage Safety in London

Tip Number 1

Network like a pro! Reach out to current PhD students or researchers in your field, especially those involved in energy storage or AI. A friendly chat can give you insider info and maybe even a referral!

Tip Number 2

Prepare for interviews by diving deep into the project details. Understand the key themes of the RESTORATIVE project and think about how your skills in anomaly detection and AI can contribute. Show us you’re passionate about making an impact!

Tip Number 3

Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you email to express your appreciation. It keeps you on their radar and shows your enthusiasm for the role.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining our community at Imperial College London. Let’s make it happen!

We think you need these skills to ace PhD Researcher: Physics‑Driven AI for Energy Storage Safety in London

Physics-based anomaly detection
Diagnostics in energy storage systems
AI safety and security
Machine learning models
Robustness to adversarial attacks
Explainability in AI
Research skills

Some tips for your application 🫡

Craft a Compelling CV:Your CV is your first impression, so make it count! Highlight your academic achievements, relevant experience, and any projects that showcase your skills in AI and machine learning. Tailor it to reflect the specifics of the PhD position we're offering.

Write a Strong Supporting Statement:This is your chance to shine! Use your supporting statement to explain why you're passionate about this research area and how your background aligns with our project goals. Be genuine and let your enthusiasm for energy storage safety come through!

Research Statement Matters:Don’t skip this part! Your research statement should outline your thoughts on the key issues in anomaly detection and diagnostics. Show us your understanding of the field and propose some initial ideas on methodologies you’d like to explore.

Apply Early and Follow Up:We recommend applying as soon as possible to avoid missing out! If you encounter any issues during the application process, don’t hesitate to reach out to us. We're here to help you every step of the way!

How to prepare for a job interview at SONICOM

Know Your Physics and AI

Make sure you brush up on your knowledge of physics-driven AI, especially in the context of energy storage systems. Be ready to discuss how anomaly detection works and why it's crucial for safety in these systems. This will show your passion and understanding of the field.

Prepare Your Research Statement

Craft a solid research statement that outlines your views on the key issues in anomaly detection and AI safety. Include your initial ideas on methodologies and refer to existing literature. This will demonstrate your ability to think critically and contribute meaningfully to the project.

Showcase Your Collaboration Skills

Since this role involves working with a diverse group of researchers across multiple institutions, be prepared to discuss your teamwork experiences. Highlight any past collaborations and how you’ve successfully navigated challenges in a team setting.

Ask Insightful Questions

At the end of the interview, don’t forget to ask questions! Inquire about the specific projects you might work on, the secondments, or how the team collaborates. This shows your genuine interest in the position and helps you gauge if it’s the right fit for you.