At a Glance
- Tasks: Conduct cutting-edge research in AI-driven process modelling and optimisation.
- Company: Join a collaboration between Repsol S.A. and Imperial College London.
- Benefits: Competitive salary, 43 days off, generous pension, and career support.
- Other info: Fully funded position with opportunities for promotion and progression.
- Why this job: Make impactful contributions to real-world industrial case studies.
- Qualifications: PhD in relevant fields or equivalent experience required.
The predicted salary is between 45399 - 48876 £ per year.
We are looking for a Research Associate (post-doctoral) to conduct research in AI-enabled process modelling and optimisation, as part of a new collaboration between Repsol S. A. and Imperial College London. We will study two interlinked objectives: (1) the automated generation of dynamic process models using large language models (LLMs), and (2) the data-driven discovery of control strategies trained on those models, focusing on the sim-to-real transfer gap. The work will be validated using real-world industrial case studies and is designed to produce both publishable scientific contributions and deployable engineering/software tools.
The successful candidate will collaborate with Dr Calvin Tsay in the Department of Computing, along with Dr Antonio del Río Chanona and Dr Mehmet Mercangöz in the Department of Chemical Engineering, and with relevant process modelling teams at Repsol S.A., who will provide access to real-world operating data and case studies. Furthermore, they will be a member of the broader Sargent Centre for Process Systems Engineering at Imperial College London.
Alongside research and publication, the Research Associate will be expected to contribute to developing, documenting, and maintaining software tools arising from the project, with the aim of releasing stable AI-enabled workflows. This role may include:
- Building frameworks to couple AI models with process simulators.
- Designing learned representations for dynamic process systems.
- Studying data-driven and hybrid control systems.
- Conducting independent and collaborative research within the group.
- Publishing results in leading venues across applied AI, process control, and process systems engineering.
- Contributing to research projects involving optimisation and machine learning.
Candidates should have, or expect shortly to obtain, a PhD in Computer Science, Chemical Engineering, Operations Research, or a closely related discipline or hold equivalent research/industrial experience. You will have practical experience within a research environment and publications in top conferences or journals in the field and experience in the following areas:
- Dealing with industry partners and research collaborators.
- Applied AI, process systems engineering, mathematical optimisation, and/or applied mathematics.
- A broad range of techniques for data-driven control, including data-driven MPC, system identification, and/or reinforcement learning is desirable.
The position is fully funded for 12 months in the first instance, with extension subject to funding. This project includes funding for equipment and travel.
*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range 45,399 - 48,876 per annum.
In addition to completing the online application candidates should attach:
- A full CV with a list of all publications.
- A research statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant.
Informal enquiries related to the position should be directed to Dr Calvin Tsay.
For queries regarding the application process contact Jamie Perrins.
Post-Doctoral Research Associate in AI-Driven Process Modelling and Control in London employer: Imperial College London
Imperial College London is an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation within the International Relations Office. Employees benefit from professional growth opportunities, a commitment to diversity, and the chance to engage in meaningful projects that have a global impact, all set in the heart of one of the world's leading academic institutions.
StudySmarter Expert Advice🤫
We think this is how you could land Post-Doctoral Research Associate in AI-Driven Process Modelling and Control in London
✨Get Involved in Research Communities
Dive headfirst into the scientific research world by joining relevant communities and forums. Engage in discussions, share your insights, and even attend conferences or seminars in your field. This not only boosts your visibility but can also lead to potential job opportunities—don't forget to connect with like-minded folks!
✨Show Off Your Research Projects
Have you worked on any cool research projects? Make it easy for potential employers to see your work by creating a portfolio or a personal website. This way, when you apply for roles like the one at Imperial College London, you can point them to your projects and publications, showcasing your expertise directly.
✨Utilise Professional Networks
Networking is key in scientific research. Join professional bodies or organisations related to your field. They often have job boards and resources tailored for job seekers. Make connections with professionals who may know about openings or can give you tips on landing a full-time position.
✨Keep Your Eyes on Openings & Apply Directly
Don’t just rely on job boards! Keep an eye on the careers section of the websites of companies like Imperial College London. Apply directly through their website because sometimes they post jobs there before anywhere else. Plus, it shows your proactive approach!
We think you need these skills to ace Post-Doctoral Research Associate in AI-Driven Process Modelling and Control in London
Some tips for your application 🫡
Highlight Your Research Experience:When applying for a full-time role in scientific research, make sure to emphasise your research experience prominently in your CV. Share specific projects you’ve worked on, the methodologies you used, and any significant findings. If you’ve published papers or presented at conferences, definitely include that too – it shows you’re on it in the academic world!
Tailor Your Cover Letter to the Research Area:Your cover letter should reflect your passion for the specific area of research at Imperial College London. Mention relevant experiences that align with the organisation’s goals or projects. This shows that you’ve done your homework and are genuinely interested in the position – plus, it helps us see how you’d fit into the team dynamics.
Showcase Your Data Analysis Skills:In scientific research, data analysis skills are a big deal! Make sure to detail any relevant analytical tools or software you’re familiar with, like R, Python, or statistical packages. Employers are keen to know you can handle the data-heavy elements of the role, so add specific examples where you’ve used these skills effectively.
Discuss Your Future Research Goals:In your motivation section, it’s a great idea to talk about your future research goals and how they align with the work being done at Imperial College London. This shows that you’re not just looking for any job, but rather a chance to contribute meaningfully to the field. We love to see applicants who are forward-thinking and enthusiastic about their research journey!
How to prepare for a job interview at Imperial College London
✨Showcase Your Research Skills
In scientific research, it’s crucial to demonstrate your ability to design and conduct experiments. Come armed with examples of past projects where you've developed hypotheses, collected data, and analysed results. Be ready to discuss any specific methodologies or tools you’ve used, like PCR techniques or statistical software.
✨Prepare for Technical Questions
Expect some technical questions specific to your field. Make sure you're up to speed with recent advancements in scientific research related to the role at Imperial College London. Brush up on concepts relevant to their projects and be prepared to discuss how you would approach a specific research problem or challenge they might face.
✨Know Your Publications
If you've authored or co-authored any papers, be prepared to discuss them! Highlighting your contributions to published research can really set you apart. It shows not only your expertise but also your ability to communicate complex ideas clearly, which is key in scientific research roles.
✨Exhibit Your Team Spirit
In full-time roles, collaboration is often at the heart of scientific research. Prepare examples that show how you've successfully worked in teams, dealt with conflicts, or contributed to group projects. We want to know how you can work effectively with the team at Imperial College London to drive research projects forward.
