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Robert Gordon University
Senior Research Fellow /Research Fellow in Data Science and Artificial Intelligence (2 posts)
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: 14 days ago
Application deadline: Aug 26
Location: Aberdeen, United Kingdom
Please mention that you found this job on Academic Positions when applying.

Senior Research Fellow /Research Fellow in Data Science and Artificial Intelligence (2 posts)

LOCATION: RGU Garthdee, AB10 7GJ
SALARY: £33,518 - £47,722 per year
HOURS: 37.00 hours per week
CLOSES: 26/08/2018

Job Summary

We are offering two posts of Senior Research Fellow or Research Fellow in Smart Data Technologies. Appointments will be decided on the academic quality and potential of the candidates. 

These posts are intended to support the research work of the Smart Data Technologies Centre, which applies novel data science and artificial intelligence research to challenging real-world problems.

We are especially interested in candidates with expertise in the following areas:
Evolutionary algorithms, fuzzy logic or neural networks.
Machine learning and time series modelling.
Probabilistic modelling and prediction.
Machine vision and deep learning.
Discrete event simulation and dynamic simulation.

Our research has a strong focus on robust real-world application and so a flexible skill set and a willingness to engage with industry are key requirements of the roles. Experience in industrially-applied research is desirable but not essential.

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.

Salary on appointment will be at a point on Grade 7 or Grade 8 appropriate to experience. Salary on first appointment is normally to the bottom of the appropriate scale, although in exceptional circumstances an appointment further up the scale may be considered.

This post is subject to a Disclosure Scotland check. For more information visit:

We would particularly welcome applications from women as they are under-represented in this area of our workforce.

Closing Date: 26 August 2018

Job Description

RESPONSIBLE TO: Head of School

RESPONSIBLE FOR: No supervisory responsibilities

PURPOSE OF POST: Support the research work of the Smart Data Technologies Centre, which applies novel data science and artificial intelligence research to challenging real-world problems.


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


Qualifications and Professional Memberships
PhD in Computing or related discipline, or close to submission of the thesis 

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

Strong programming skills for example Java, C++, Python, R

Excellent communication

Time management


Qualifications and Professional Memberships
Speciality in Computational Intelligence

Knowledge and Experience
One or more of the following: Probabilistic modelling, Advanced Metaheuristics, Deep Learning, 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.

You will be predominately based at the Smart Data Technologies Centre at Robert Gordon University, Aberdeen. Travel will be required from time to time to visit industrial or academic collaborators or to disseminate research.


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

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