Publisher
source

Becky Greenaway

Top university

3 days ago

Postdoc in Automation and Machine Learning for Polymer Nanogel Discovery at Imperial College London Imperial College London in United Kingdom

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United Kingdom

University

Imperial College London

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Keywords

Computer Science
Chemistry
Chemical Engineering
Materials Science
Automation
Nanomaterials
Machine learning

About this position

Imperial College London is advertising a 3-year postdoctoral position in the Department of Chemistry focused on Automation and Machine Learning for Polymer Nanogel Discovery.

The role is part of a larger collaborative project and team involving Becky Greenaway (Royal Society University Research Fellow / Reader at Imperial College London), Kim Jelfs, and Nazila Kamaly. The research sits at the intersection of chemistry, materials science, and data-driven automation, with an emphasis on automated workflows for nanogel screening and discovery.

This is a postdoctoral research associate opening rather than a scholarship. The post is based at Imperial College London in the UK. The advert notes that applications may be closed early if a high volume is received, so early submission is recommended.

Eligibility details are not fully listed in the social post excerpt, but the project suggests candidates with a strong background in chemistry or a related field, plus experience or interest in automation, machine learning, and collaborative research, would be a good fit.

To apply, follow the linked Imperial College advert and submit the online application through the university portal. If technical issues arise during application, the advert provides the support email [email protected].

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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