Postdoctoral Research Associate in Machine Learning Knots
Edinburgh - Kings Buildings, Midlothian, United Kingdom
Full Time Mid-level / Intermediate GBP 40K - 47K
The University of Edinburgh
Edinburgh. Extraordinary futures await. The University of Edinburgh is one of the world's top universities. Our entrepreneurial and cross-disciplinary culture attracts students and staff from across the globe, creating a unique Edinburgh...The Opportunity: PDRA in Machine learning knots.
The job purpose is to perform research on Machine Learning (ML) of topologically complex polymers and molecules within Davide Michieletto’s TAPLab group. The post holder will contribute to drafting papers, writing grant proposals, and to present/disseminate results to conferences where appropriate.
This post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.
The salary for this post is £40,247-£47,874.The post is fixed term for 2 years.
Your skills and attributes for success:
- Ability to code at high standards and rigour.
- Theoretical and/or practical knowledge of machine learning and topology.
- Experience in writing scientific papers.
Click to view a copy of the full job description (opens new browser tab)
Application Information
Please ensure you include the following documents in your application:
- CV
- Cover letter
As a valued member of our team, you can expect:
- A competitive salary.
- An exciting, positive, creative, challenging and rewarding place to work.
- To be part of a diverse and vibrant international community.
- Comprehensive Staff Benefits, such as a generous holiday entitlement, competitive pension schemes, staff discounts, and family-friendly initiatives. Check out the full list on our staff benefits page (opens in a new tab) and use our reward calculator to discover the total value of your pay and benefits.
Championing equality, diversity and inclusion
The School of Physics and Astronomy at the University of Edinburgh is committed to encouraging equality and diversity among our workforce, and eliminating discrimination.
The School strives to create a more diverse, equitable and inclusive workplace for all and we are looking to actively diversify our staff. We welcome applications from all qualified candidates and in particular encourage applications from people of colour, women, people with disabilities, LGBTQ+ people and other minority and under-represented groups. We aim to ensure that our culture and systems support flexible and family-friendly working, as evidenced by our Juno Champion and Athena SWAN Silver awards.
The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality.
Prior to any employment commencing with the University you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages (opens new browser tab).
The University is able to sponsor the employment of international workers in this role. If successful, an international applicant requiring sponsorship to work in the UK will need to satisfy the UK Home Office’s English Language requirements and apply for and secure a Skilled Worker Visa. Please note if the role is offered on a part-time basis, it may result in sponsorship being dependant on a number of factors specific to the successful applicant or the role no longer meeting the Home Office’s criteria for sponsorship.
Key dates to note
The closing date for applications is 31 January 2025.
Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.
Interviews will be held in February 2025.
Tags: Athena Machine Learning Physics Research
Perks/benefits: Career development Competitive pay Conferences Flex hours
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