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Game Programmer - QMUL20875

Department: School of Electronic Engineering & Computer Science
Salary: £34,220 - £36,098 per annum (Grade 4)
Reference: QMUL20875
Location: Mile End
Date posted: 09-Jan-2020
Closing date: 31-Jan-2020

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Overview:

Applications are invited for one year Game Programmer in the School of Electronic Engineering and Computer Science (EECS) at Queen Mary University of London (QMUL) to work on the EPSRC project “Abstract Forward Models for Modern Games”. The goal of this project is to provide the Games Industry with access to the latest and most proficient Game AI methods. In particular, it aims to facilitate the access to Forward Models (FM) so Statistical Forward Planning (SFP) methods such as Monte Carlo Tree Search and Rolling Horizon Evolution can be used in modern video-games.

 

The work will take place at the Game AI group at EECS and the project is supported by Games and Research companies such as AI Factory, Bossa Studios, Microsoft, Mountain Property Ventures, The Creative Assembly and the Defense Science and Technology Laboratory.

 

The objective of this role is to develop relatively complex strategy games and a Forward Model API that allows the use of SFP methods, as well as writing the documentation of this implementation in order for the FM library to be released as Open Source for the games community.

 

The successful applicant must have an Undergraduate Degree (or equivalent) in Computer Games, Computer Science or Computer Engineering. Additionally, a Postgraduate Degree (or equivalent) in Computer Games or Computer Science is desirable. The candidate must have knowledge and experience on games programming and development, while knowledge and experience on game engine development and/or Game AI is seen as a plus. The successful candidate must have experience with C++ development for games, and experience with Unreal Engine or a similar high-end games engine. Experience with the development of sustainable and efficient code, as well as the development of clean APIs, suitable for third-party users is highly desirable. It is essential that the candidate has the ability to prepare project deliverable reports and documentation.

 

This is a full time fixed term post for 12 months, with an expected start date of 1st February 2020 or as soon as feasible after this date. The salary range is £34,220 - £36,098 per annum inclusive of London allowance. Benefits include 30 days annual leave, pension scheme and interest-free season ticket loan.

 

Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006. Where required this may include entry clearance or continued leave to remain under the Points Based Immigration Scheme.

 

Informal enquiries should be addressed to Dr. Diego Perez Liebana at diego.perez@qmul.ac.uk or on +44 (0) 20 7882 6075.

 

Details about the school can be found at http://www.eecs.qmul.ac.uk/ Details about the Game AI research group can be found at http://gameai.eecs.qmul.ac.uk/

 

To apply, please click on the link below.

 

Candidates are kindly requested to upload documents totaling no more than 10 pages.

Please note large documents, e.g., PhD thesis/Research papers, are not forwarded to the interview panel.

 

The closing date for applications is 31 January 2020.  Interviews are expected to be held shortly thereafter.

 

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QMUL is proud to be a London Living Wage Employer

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