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Research Associate in Space Computational Intelligence

University of Strathclyde - Mechanical and Aerospace Engineering

Location: Glasgow
Salary: £36,024 to £40,263 (Grade 7)
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 27th February 2024
Closes: 12th March 2024
Job Ref: 597996
 

Reports to: Prof Massimiliano Vasile

Contract type: Fixed term (12 months)

The Department of Mechanical & Aerospace Engineering is the birthplace of modern engineering education, informing the technology leaders of today and tomorrow since 1800. Our mission is to advance knowledge and commerce in mechanical and aerospace engineering and apply fresh thinking to the challenges faced by industry and society.

The Aerospace Centre of Excellence in the Department of Mechanical & Aerospace Engineering seeks to appoint a Post-doctoral Research Associate in Computational Intelligence to work on projects supported by the European and UK Space Agencies (ESA and UKSA). The successful candidate will work on Natural Language Processing for Explainable AI with application to space safety and sustainability.

As a Research Associate, under the general guidance of a research leader, you will develop research objectives and proposals, play a lead role in relation to a specific project/s or part of a broader project, conduct individual and/or collaborative research, contribute to the development of new research methods, identify sources of funding, and contribute to the securing of funds for research, including drafting grant proposals and planning for future proposals. You will write up research work for publication, individually or in collaboration with colleagues, and disseminate the results via peer reviewed journal publications and presentation at conferences. You will join external networks to share information and ideas, inform the development of research objectives and to identify potential sources of funding. You will collaborate with colleagues to ensure that research advances inform departmental teaching effort and you will collaborate with colleagues on the development of knowledge exchange activities by, for example, participating in initiatives which establish research links with industry and influence public policy and the professions. You will supervise student projects, provide advice to students and contribute to teaching as required by, for example, running tutorials and supervising practical work. You will contribute in a developing capacity to Department/School, Faculty and/or University administrative and management functions and committees and engage in continuous professional development.

To be considered for the role, you will be educated to a minimum of PhD level in an appropriate discipline or have significant relevant experience in addition to a relevant degree, e.g. in Engineering, Physics, Mathematics or Computer Science. You will have experience in one or more of the following areas: machine learning, generative deep learning, dynamical system theory, uncertainty quantification. You will have the ability to develop and deliver research activities, and work on collaborative projects involving both industry and academia. You will be ambitious and enthusiastic about cross-disciplinary working and be able to work independently and as part of a team, supporting others when required. You will have good interpersonal and communication skills, including an ability to listen, engage and persuade, and to present complex information in an accessible way to a range of audiences. You will have the ability to work well under pressure and be driven to deliver results. The appointment will be made at Research Associate level.

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.

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