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KTP Associate

Department
Computer Science
Based at
University of York - Heslington Campus
Hours of work
Full-time
Contract status
Fixed term
Salary
30,688 a year
Apply by
08/02/2018
Documents

Role Description

You will be employed by The University of York, but will be based primarily at IBM UK’s York labs, which is based on the University’s campus. The IBM York Lab has focused on the development and support of enterprise performance management solutions for over 23 years, originally as Cognos.

There are two posts available for this KTP, the aim of which is to develop a novel combination of machine learning and model-based engineering which enable semi-automated transformation of financial and operational planning spreadsheets into more structured analytic models, based on the Cognitive system.

There are two posts available for this KTP, the aim of which is to develop a novel combination of model-based engineering and machine learning which enable semi-automated transformation of financial and operational planning spreadsheets into more structured analytic models, based on the Cognitive system. This post focuses on the development of model-based engineering tools and techniques, particularly model transformations, to support the transformation of spreadsheets into analytic models. You will conduct research with cutting-edge IBM tools for planning analytics, as well as advanced model management tools based on Eclipse, to design, validate and deploy the transformations. You will collaborate with the second Associate on this KTP to interface machine learning technologies with model management technologies; there is thus an opportunity to build expertise in machine learning as part of this project.

You will have a Masters degree in Computer Science or a related subject (a PhD or equivalent experience is desirable) with significant study components in Bayesian and deep learning, machine learning theory, and in building machine learning models for different problems. Ideally you will have some understanding of natural language processing algorithms. You will also have strong presentation, writing, and object-oriented design and development skills. Essential personal attributes for this role include attention to detail and commitment to high quality, a collaborative ethos, positive attitude to colleagues, commitment to personal development, and ability to plan and prioritise own work to meet deadlines.

You will have a good understanding of software or systems engineering with knowledge of modelling languages such as UML and SysML. You will also have knowledge of Eclipse Modelling Framework and excellent object-oriented design and development skills. You will have highly developed communication skills with the ability to write up research work for publication and develop research objectives, projects and proposals for your own and joint research. You will have experience of carrying out both independent and collaborative research as well as experience in writing high-quality technical documentation.

Informal enquiries regarding this position may be made to: Professor Richard Paige (richard.paige@york.ac.uk) or Mr Peter Thomas (peter.thomas@uk.ibm.com). For queries about your application, please contact HR via email at recruitment@york.ac.uk.

The salary will be fixed at £30,688 per annum on Grade 5 of the University’s scale. There is also an additional £2,000 pa for training and development. The post is full-time and is available on a fixed term contract for up to 36 months.

Closing Date: 8 February 2018

For further information and to apply on-line, please click on the ‘Apply’ button below.

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