KTP Research Associate - Data Scientist

 

Research Associate - Data Scientist

RGU, School of Computing Science & Digital Media

Job Summary

This is an exciting opportunity for an ambitious Data Scientist or strongly related field graduate to fast-track their career development as a Knowledge Transfer Partnership (KTP) Associate in Data Science with emphasis on Machine Learning, Data Mining and Data Visualisation. You will undertake a 2-year collaborative project between IDS and The School of Computing Science and Digital Media. Based on IDS premises in Aberdeen, you will take a leading role in the design and development and evaluation of intelligent set of tools and algorithms for searching and mining structured and unstructured oilfield data. You will receive extensive practical and formal training, gain marketable skills, broaden knowledge and expertise within an industrially relevant project, and gain valuable experience from industrial and academic mentors. You will benefit from a Personal Development Budget of £4,000 and have the to enrol as an MRes student (Master by Research) in closely related field (i.e. Data Science, Machine Learning, etc…) You will be educated to Honours degree level in Data Science, Computing or a strongly related discipline with a minimum of a 2:1, an MSc in Data Science, Information Engineering or similar field would also be advantageous. You will be self-motivated with an ability to work independently and to tight deadlines within a dynamic and small team environment. In addition, you will need to have strong programming skills as well as a genuine enthusiasm for applying advanced methods to a real-world problem. Strong knowledge and understanding of programming languages such as R, Python, or similar langue is essential. Experience in handling unstructured data is highly desirable, as is working within a team. Informal enquires may be sent to Dr. Eyad Elyan at e.elyan@rgu.ac.uk , Professor Chrisina Jayne at c.p.jayne@rgu.ac.uk , Mr. Colin Dawson at cdawson@idsdatanet.com or Mr. Douwe Franssens at dfranssens@idsdatanet.com

Closing Date: 25 April 2017

Job Description

Responsible to: Head of Technology and Senior Lecturer Responsible for: No Supervisory Responsibility

Purpose of Post:

Take a leading role in designing, implementing and evaluating intelligent set of methods to search, mine and visualise oilfield data (structured / unstructured data).

Transfer knowledge of data science and state-of the art machine learning techniques to IDS.

Develop technical and personal skills (verbal and written) to meet the requirements of an increasing responsibility and experience level.

Principal Duties:

Deliver the project objectives as detailed in the KTP project proposal.

Undertake in-depth literature review in the area of machine learning, processing structured and un-structured data and data analytics.

Explore, understand and critically evaluate existing technologies at IDS.

Take a leading role in developing and evaluating predictive models.

Develop advanced techniques for visualising and communicating results.

Maintain an up-to-date project plan and provide a progress report for presentation at regular Local Management Committee (LMC) meetings.

Deliver presentations to immediate project team members and technical experts.

Any other duties that maybe reasonable, assigned by the Academic Supervisor/ Company Supervisor.

Person Specification

ESSENTIAL REQUIREMENTS Qualifications & Professional Memberships

First or upper second class Honours degree in Data Science, Computing or a strongly related discipline.

Knowledge & Experience

Experience in data science

Strong knowledge of machine learning and the underlying theories

Strong programming and scripting skills

Good communication and report writing skills

Good problem solving skills

Self-motivated with an ability to work independently and to tight deadlines within a dynamic and small team environment

An ability to undertake research and development analysis

DESIRABLE REQUIREMENTS

Qualifications & Professional Memberships

MSc in Data Science, Computer Science, Information Engineering or similar is highly desirable.

Knowledge & Experience

Experience in Oil and Gas is beneficial but not necessary.

Behaviours

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 - Service Delivery - Experience of exploring and adapting a service to meet customers’ expectations and also identifying ways of improving standards

Behaviour 3 - 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

Behaviour 4 - Analysis and Research - Experience of identifying or designing data gathering and analytical methods appropriate for each investigation, and producing reports that identify key issues and findings

Salary: 25,000.00 GBP per Year

Position Type: Full Time , Fixed Term 2 Year, 35.0 Hours per Week

Posted in: North, Vacancy