Research Associate

Department: Chemical and Process Engineering (www.strath.ac.uk/engineering/chemicalprocessengineering)

Faculty: Faculty of Engineering (www.strath.ac.uk/engineering)

Reports to: Head of Department/Institute, through

Contract type: Fixed term (12 months)

FTE: 1 (35 hours/week)

Working arrangements: Fully On-site. Due to the nature of this role, it is based fully on-site.

On-site facilities: Car parking, sports centre, catering.

Holidays: 31 days + 11 statutory days

Option to purchase additional holidays.

Pensions: Contributory pension scheme available to all staff including generous employer contribution.

Training: Professional Development with Organisational and Staff Development Unit (OSDU) plus external training if required.

Family Friendly Benefits: Generous parental leave provision, on-campus nursery and options for flexible working.

Health and Wellbeing:

University Sport centre, Occupational Health service, access to health and wellbeing events, cycle to work scheme, Employee Assistance Programme, agile working and established carers support network and carer friendly policies.

Job Advert

The department of Chemical and Process Engineering are seeking a highly motivated and skilled Research Associate to work on an innovative industry-funded project, led by Dr Leo Lue (leo.lue@strath.ac.uk), focusing on the development of a transformative technology for Oil and Gas decommissioning. You will be a core part of an interdisciplinary research team working closely with our Industrial Partner to curate and process the experimental data generated by the project, guide and optimise the sequence experiments, and provide input data in various formats for the computational fluid dynamic modelling and validation. You will be the bridge between the outputs of those working on the experimental and modelling aspects of the project.

To be considered for the role, you will be educated to a minimum of PhD level in Chemical Engineering, or Data Science and Mathematics, or have significant relevant experience in addition to a relevant degree. You will have sufficient breadth or depth of knowledge in data processing, programming in Python and a developing ability to conduct independent research work, to disseminate results. You will have an ability to plan and organise your own workload effectively and an ability to work within a team environment. You will have excellent interpersonal and communication skills, with the ability to listen, engage and persuade, and to present complex information in an accessible way to a range of audiences.

Whilst not essential for the role, applications are welcomed from candidates with: relevant work experience, membership of relevant Chartered/professional bodies (including the Higher Education Academy), experience of relevant student supervision and teaching activities, and/or experience of knowledge exchange related activities.

Application procedure

Applicants are required to complete an application form including the name of three referees who will be contacted without further permission, unless you indicate that you would prefer otherwise. Applicants should also submit a Curriculum Vitae and a covering letter detailing the knowledge, skills and experience you think make you the right candidate for the job. Applicants should also complete the Equal Opportunities Monitoring Form.

Other Information

Further information on the application process and working at Strathclyde can be found on our website (www.strath.ac.uk/hr/workforus).

Informal enquiries about the post can be directed to Dr. Jun Li, Reader (jun.li@strath.ac.uk).

Advert information