Research Associate in Chemical Engineering and Machine Learning (fixed term)

Job title Research Associate in Chemical Engineering and Machine Learning (fixed term)

Department Chemical Engineering

Salary Starting from £33,797, rising to £40,322 per annum

Grade Grade 7

SOC Code - Visa Requirements 2119

Placed on Monday 04 October 2021

Closing date Monday 15 November 2021

Interview date To be confirmed

Reference CF8417R

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We have an exciting research opportunity for a passionate and adventurous researcher wanting to demonstrate their skills in advancing an exotic patterning technique for manufacturing advanced biomedical devices. This interdisciplinary project will involve machine learning, polymer science, and materials characterisation. It will be based in Dr Bernardo Castro-Dominguez’s group (Smart Process Engineering Lab) in the Chemical Engineering Department and the Centre for Sustainable and Circular Technologies (www.csct.ac.uk) at the University of Bath. The project will require collaboration with members of the Materials for Health Lab, Centre for Autonomous Robotics (CENTAUR) and the Centre for Therapeutic Innovation (CTI), industrial partners and clinicians. 

About the role

BioMed 4.0 is an exciting and ground-breaking EPSRC-funded project that will deliver the next generation of additive manufacturing devices by enabling an agnostic-to-feedstock operation, high printing precision and control, and hierarchical design (from the centimetre down to the nanoscale) to produce biomedical devices. In this 2-year long post, using machine learning and novel in-line characterisation technologies, we will build a novel smart 3D printing technology that will adapt to a wide range of feedstocks. 

About you

What are we looking for? Motivated applicants with a PhD (or equivalent industrial experience) in chemical engineering, applied maths, or computer science. Expertise in machine learning and a programming language such as C/C++, Python, MATLAB or FORTRAN is crucial. Successful applicants will possess:

  • A strong background in machine learning and developing data-driven models.
  • Some experience in spectroscopy, and materials characterisation technologies (e.g., NIR, Raman, PAT) or 3D printing, electrospinning/electrospraying.
  • A track record in conducting high quality research, evidenced by publications in peer reviewed journals.
  • Excellent interpersonal skills and the ability to work effectively in multidisciplinary teams are crucial.

For further information or an informal discussion about the position please contact Dr Bernardo Castro-Dominguez at bcd28@bath.ac.uk  Please note that applications sent directly by email will not be accepted. 

This is a full-time fixed term post available now for an expected duration of 24 months.

What we can offer you:

Our campus is surrounded by beautiful countryside, and the City of Bath with its historic charm and social activity only a short distance away creates an excellent environment in which to work. 

We are:

Find out from our staff what makes the University of Bath a great place to work. Follow us @UniofBath and @UniofBathJobs on Twitter for more information.

We aim to be an inclusive university, where difference is celebrated, respected and encouraged. We truly believe that diversity of experience, perspectives, and backgrounds leads to a better environment for our employees and students, creating a learning environment and organisational culture that enhances health and wellbeing across our community. We are very proud to have recently received Ambassadors for Autism certification and are an accredited Disability Confident Leader; committed to building disability confidence and supporting disabled staff.

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Further details:

The University of Bath is an equal opportunities employer and has an excellent international reputation with staff from over 60 different nations.  We have made a positive commitment towards gender equality and intersectionality receiving a Silver Athena SWAN award. We are a family-friendly University, with an increasingly agile workforce, we are open to flexible working arrangements. We’re also proud to be a disability confident employer and are happy to discuss any reasonable adjustments you may require.

If you think you may require a visa to work in the UK you should refer to our applicant information webpage  before embarking on a job application to ensure that you understand the requirements for sponsorship. You may be eligible to work in the UK via other alternative visa routes such as the Global Talent Visa or by having Settlement / ILR, please refer to our Staff Immigration webpages for further details.

The University of Bath is an equal opportunities employer and has an excellent international reputation with staff from over 60 different nations.  We have made a positive commitment towards gender equality and intersectionality receiving a Bronze Athena SWAN award, and we are actively working towards a Silver award. We are a family-friendly University, with an increasingly agile workforce. We are open to flexible working arrangements and we’re also proud to be a disability confident employer and are happy to discuss any reasonable adjustments you may require.