Research Associate in AI for Chemistry

Imperial Enterprise; Greater London; Hybrid; GBP 42.000 - 65.000; Vollzeit

Benefits dieser Stelle

43 days off per year

Competitive salary package

Generous pension schemes

Development days

Zusammenfassung

Imperial College London is seeking a Research Associate to join the AIchemy hub, focusing on multi-modal generative AI for small molecules conditioned on experimental spectra. You will co-develop projects with chemists and ML academics, contributing to open-source software and high-impact publications.

The role offers academic freedom within the AIchemy Hub, backed by Imperial's strong research community and UK-wide collaboration.

Qualifikationen

• PhD-level researcher with strong publications in relevant fields.
• Experience applying generative models to molecules or materials.
• Ability to collaborate with experimental and theory groups.

Aufgaben

• Implement generative methods for small molecules and materials.
• Incorporate multi-modal chemistry data into generation.
• Collaborate with AIchemy and UK EPSRC projects.
• Present research at conferences and publish results.
• Supervise and plan research with mentors and students.
• Develop and maintain open-source software.

Kenntnisse

Generative model architectures

Graph neural networks

Equivariant networks

Machine learning representations

Multidisciplinary collaboration

Ausbildung

PhD in Chemistry/ML/CS

Tools

Python

Git

Open-source software

Jobbeschreibung

We are seeking a Research Associate to join our team as part of the AI for Chemistry (AIchemy) hub, specialising in multi-modal generative AI for small molecules conditioned on experimental spectra.

AIchemy, funded by the EPSRC, is a research hub dedicated to advancing artificial intelligence (AI) and machine learning (ML) in the field of chemistry. AIchemy aims to develop new AI approaches and promote their adoption within the chemistry community. The hub unites AI researchers from various subdisciplines, including computer science and both experimental and computational chemists, fostering connectivity, training, networking, and state-of-the-art research.

This position offers an exciting opportunity to design and implement novel algorithms in generative AI applicable across large-scale multi-modal chemistry data (including experimental properties) while collaborating with the larger team at Imperial College London and across the UK-wide AIchemy Hub to collectively advance AI in chemistry.

The Research Associate will co-develop the project in partnership with experimental and theoretical chemists, and machine-learning academics across the Chemistry and Computing Departments. This position provides academic freedom and will leverage the deep scientific base of the broader AIchemy Hub, including self-driving labs and high-throughput synthesis and analysis setups, enabling you to make a significant contribution to the field. You will join a cohort of computational and experimental researchers, technicians, and software engineers working at the AI/Chemistry interface and a thriving community of events and initiatives that you can take a role in shaping.

What you would be doing

• Implement and develop methods for the computational generation of small molecules and materials, which have the potential to be synthesised by experimental collaborators.
• Explore how multi-modal chemistry data (molecular and crystal structures, experimental spectra, computed and measured properties) can be incorporated into the generation process.
• Collaborate and cooperate with partners of AIchemy and other AI for Science projects funded by the UK EPSRC.
• Act as the representative for Imperial College London in meetings, conference calls and present research at conferences, workshops, and open days, and publish research results in journals.
• Assist in the supervision of undergraduate and postgraduate research students and research assistants as required, designing projects and helping make decisions about research directions.
• Take the initiative in the planning of research, co-developing your project with a range of academic mentors.
• Develop and maintain open-source software together with other group members.

What we are looking for

• Practical experience of developing and applying generative model architectures, such as diffusion, flow-matching or autoregressive models, to molecules or materials.
• Knowledge of machine learning representations for molecules and materials, such as graph neural networks and equivariant networks.
• Machine learning algorithms and model development experience.
• Successful experience of working with multidisciplinary experimental and theory collaborators.
• Practical experience within a research environment and publications in relevant peer-reviewed journals.

What we can offer you

• The chance to join the AIchemy Hub , a multidisciplinary team working at the forefront of AI in Chemistry.
• The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity.
• As a member of research staff you have 10 development days to use to develop your skills and explore your career prospects
• Sector-leading salary and remuneration package (including 43 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 .

Further information

Please note that this is a PhD level role but candidates who have not yet been officially awarded will be appointed as a Research Assistant.

This is a full-time post (35 hours per week).

This role is for a fixed-term contract for 12 months.

If you require any further details about the role, please contact: Alex Ganose – [e-mail]

Attached documents are available under links. Clicking a document link will initialize its download.

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 before the stated closing date, should we receive a high volume of applications. Please submit your application as early as possible to avoid disappointment.

If you have any general queries about this vacancy, please contact the hiring manager listed in the ‘Further Information’ section. Alternatively, you can contact the Recruitment Hub at [e-mail], and we will be happy to assist you.

If you experience any technical issues that prevent you from submitting an application, please contact our Technical Support team at [e-mail] , who will be able to help resolve the issue.

About Imperial

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.

Our Culture

We work towards equality of opportunity, eliminating discrimination, and 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. You can read more about our commitment on our web pages .

Proud signatory of the Armed Forces Covenant. We welcome applications from the Armed Forces community.

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.