Abrar Admin

Imperial College London

<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div>Job number</div>
<p><b>ENG03954</b></p>
<div>Faculties</div>
<p><b>Faculty of Engineering</b></p>
<div>Departments</div>
<p><b>Department of Computing</b></p>
<div>Salary or Salary range</div>
<p><b>&pound;55,144 - &pound;65,073 per annum</b></p>
<div>Location/campus</div>
<p><b>White City Campus - On site only</b></p>
<div>Contract type work pattern</div>
<p><b>Full time - Fixed term</b></p>
<div>Posting End Date</div>
<div><b>12 Jul 2026</b></div>
</div></div><p></p><div><h2 class="jobSectionHeader"><b>About the role</b></h2>
<p></p><p>This post is funded by a new exciting partnership, led by Imperial College London and Imperial College Healthcare NHS Trust. This partnership, the Fleming Initiative, aims to tackling antimicrobial resistance (AMR) through a people-centred and convergence science approach.</p>
<p>
The Fleming Initiative offers an innovative approach to the challenge of AMR &ndash; combining research, behaviour change, public engagement, and policy to provide real-world solutions that work to protect the health security of local populations around the world. At the core of our initiative, is the transformative approach of co-locating diverse expertise and putting society at the heart of solving this crisis, in the Fleming Centre London, which is being developed at the historic St Mary&rsquo;s Hospital Campus and due to open in 2028.</p>
<p>
The Initiative is run under the Directorship of Professor Alison Holmes, an internationally recognised expert in Infectious Diseases and Antimicrobial Resistance and has several strands of programmatic research, funded by a range of partners.</p>
<p>
This project falls within the Science and Innovation pillar of the Fleming Initiative&rsquo;s programme of research.</p><p></p>
<h2 class="jobSectionHeader"><b>What you would be doing</b></h2>
<p></p><p>You will lead the development of advanced generative AI models for the design of novel structural variants of bioactive molecules. These models will be developed to predict key molecular properties associated with bacterial uptake, integrating both static molecular descriptors and dynamic experimental data to improve the estimation of small-molecule accumulation in bacteria. A central challenge will be ensuring that optimisation of target properties&mdash;such as bacterial accumulation&mdash;preserves essential biological activity and pharmacophore requirements. To address this, the research will focus on developing hybrid AI approaches that incorporate domain knowledge, molecular constraints, and mechanistic insights directly into the generative learning process, improving both the robustness and interpretability of the resulting models.</p>
<p>
The project will involve the integration of chemoinformatic features and learned molecular representations developed in collaboration with other PDRA&rsquo;s across the programme. Working with rich, real-world experimental datasets generated within the consortium, you will contribute to the development of a predictive framework&mdash;a &ldquo;chemical rulebook&rdquo;&mdash;for understanding and predicting small-molecule accumulation in bacteria. This research sits at the intersection of AI innovation, chemistry, and experimental microbiology, with direct implications for antibiotic discovery and antimicrobial drug development.</p>
<p>
The successful candidate will be self-motivated and capable of leading a complex, collaborative research programme as part of a broader interdisciplinary team. You will contribute to a dynamic and ambitious Grand Challenge Project funded by GSK and the Fleming Initiative, working closely with multidisciplinary researchers including experts in microbiology (Dr Andrew Edwards), data science (Dr Marko Storch), and AI/ML for Science (Prof. Ramon Villar and Prof. Mauricio Barahona), as well as industrial collaborators at GSK.</p><p></p>
<h2 class="jobSectionHeader"><b>What we are looking for</b></h2>
<p></p><ul><li>PhD qualification (or equivalent experience) in Artificial Intelligence or Machine Learning</li>
</ul><ul><li>Strong expertise in AI and machine learning, together with excellent project management and communication skills, will be essential.</li>
</ul><ul><li>The role will involve publishing in leading journals and top-tier AI/ML conferences, presenting research outcomes both within the programme and internationally, and actively contributing to the wider research activities of Professor Russo&rsquo;s group.</li>
</ul>
<p>Please see job description for a full list of requirements.</p><p></p>
<h2 class="jobSectionHeader"><b>What we can offer you</b></h2>
<p></p><ul><li>The opportunity to continue your career at a world-leading institution.</li>
</ul><ul><li>Sector-leading salary and remuneration package (including 38 days off a year).</li>
</ul><p></p>
<h2 class="jobSectionHeader"><b>Further information</b></h2>
<p></p><p>In addition to completing the online application candidates should attach:</p>
<ul>
<li>A full CV, with a list of all publications</li>
</ul><ul><li>A research statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant.</li>
</ul>
<p>For informal enquiries about the position please email Professor Alessandra Russo a.russo@imperial.ac.uk</p>
<p>
 For queries regarding the application process contact Jamie Perrins: j.perrins@imperial.ac.uk</p><p></p>
<h2 class="jobSectionHeader"><b>Available documents</b></h2>
<div>Attached documents are available under links. Clicking a document link will initialize its download.</div></div></div><p></p><div><div><br>
</div></div></div></div></div></div></div></div></div><div><div>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.</div>
<p>
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.</p>
<p>
If you encounter any technical issues while applying online, please don't hesitate to email us at support.jobs@imperial.ac.uk. We're here to help.</p>
<h3 class="jobSectionHeader"><b>
About Imperial</b></h3>
<p>
Welcome to Imperial, a global top-ten university where scientific imagination leads to world-changing impact.</p>
<p>
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&rsquo;s toughest challenges. Whatever your role, your contribution will have a lasting impact.</p>
<p>
As a member of our vibrant community of 22,000 students and 8,000 staff, you&rsquo;ll collaborate with passionate minds across nine London campuses and a global network.</p>
<p>
This is your chance to help shape the future. We hope you&rsquo;ll join us at Imperial College London.</p>
<h3 class="jobSectionHeader"><b>
Our Culture</b></h3>
<p>
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. You can read more about our commitment on our web pages.</p>
<p>
Proud signatory of the Armed Forces Covenant. We welcome applications from the Armed Forces community.</p>
<p>
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.</p></div></div></div><div></div>

Fleming Initiative - Research Fellow in Generative AI for Molecular Design

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Fleming Initiative - Research Fellow in Generative AI for Molecular Design