Robert Gordon University
Senior Research Fellow /Research Fellow in Data Science and Artificial Intelligence
Robert Gordon University
Robert Gordon University provides industry led undergraduate and postgraduate courses leading to highly relevant awards and degrees.
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Published: 1 month ago
Application deadline: Apr 23
Location: Aberdeen, United Kingdom
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Senior Research Fellow /Research Fellow in Data Science and Artificial Intelligence

RGU, School of Computing Science & Digital Media

Position Type: Full Time , Permanent 35.0 Hours per Week
Salary: 33518.00 - 47722.00 GBP per Year

Job Summary

The School has internationally recognised research pushing the boundaries of theoretical and practical knowledge in Computing Science. We have long-standing research strength in Computational Intelligence, Case-Based Reasoning and Data Mining with growing expertise in Usability and Human Factors.

The Smart Data Technologies Centre, hosted by the School, focusses on industrially – applied data science, optimisation and machine learning. Major application areas include: planning and supply chain optimisation; predictive and preventive maintenance; process control and operations management. Smart Data is a strategic priority research area for the university, and we engage in interdisciplinary research with other Schools, most notably Engineering (predictive maintenance) and Architecture (smart cities).

The Centre attracts direct funding from industry as well as public funding from RCUK, Horizon 2020, and from Scottish Innovation Centres, such as The Data Lab, OGIC and CENSIS. RGU hosts the Aberdeen hub of The Data Lab Innovation Centre, which is co-located with the School. The School is a member of the Scottish Informatics and Computer Science Alliance (SICSA), which pools world-leading research in Computing Science from Scottish Universities.

Job Description

RESPONSIBLE TO: Head of School

RESPONSIBLE FOR: No supervisory responsibilities


The main duties of the Research Fellow are as follows:

  • Develop and execute a work programme aligned with research projects and grants.
  • Assist in developing proposals that may attract research grants, knowledge exchange funding and/or studentships from external bodies.
  • Produce periodic internal and grant reports as required.
  • Publicise research activity through publications, conferences, workshops and seminars, as appropriate, to raise the research profile of the Smart Data Technologies Centre and the School.
  • Liaise with academic and research staff within the Centre and School to promote an awareness of research and research methods and to stimulate research activity.
  • Supervise relevant staff and research students, as appropriate.
  • Assist in developing links with other institutions within appropriate research fields.
  • Undertake any other reasonable duties that may be requested by the Head of School.

The main duties of the Senior Research fellow, in addition to the above, are:

  • Manage workstreams within collaborative research projects
  • Lead small grant applications as PI
  • Manage small industrial projects

Person Specification


PhD in Computing or related discipline, or close to submission of the thesis

Artificial Intelligence methods related to machine learning, computational intelligence and/or data modelling

Strong programming skills



Speciality in Computational Intelligence

One or more of the following: Probabilistic modelling, Advanced Metaheuristics, Real world applications, Simulation


One of the following:
Experience in real world applications of optimization and learning,
Experience of interdisciplinary research,
Experience of working in large research projects,
Strong track record in writing for publication


Behaviour 1: Communication - Ability to receive, understand and convey information requiring careful explanation and information of a complex or conceptual nature, in a clear and accurate manner

Behaviour 2: Analysis and Research - Experience of developing hypotheses and concepts to explain data, events and phenomena, and reporting findings to a wider community

Behaviour 3: Pastoral Care and Welfare - Experience of calming and reassuring those with work/study related problems who may be experiencing distress and dealing with difficult welfare situations or confidential matters

Behaviour 4: Liaison and Networking - Experience of circulating information in an accurate and timely manner, working across team boundaries to build and strengthen working relationships and leading and developing internal networks to pursue a shared interest

Behaviour 5: Initiative and Problem Solving - Experience of using initiative and creativity to resolve problems, identifying practical and suitable solutions.

Behaviour 6: Decision Making - Experience of using own judgement to make decisions, making collaborative decisions with others to reach conclusions and providing advice or information that will influence the decisions of others

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