Skip to content

Research Associate

Computer Science
Based at
University of York - Heslington Campus
Hours of work
Contract status
Fixed term
31,604 - 38,832
Apply by

Role Description

An exciting opportunity for two research associates to work in the Department of Computer Science on an EU-funded project, SAFIRE to provide a cloud-based optimisation engine that can be used to improve industrial processes and products.  You will contribute to the design and implementation of such engine as a scalable Docker-based platform which will be used to run massive search-based optimisation heuristics, working closely with optimisation, predictive analytics and situational analysis experts.  A critical part of the project will depend on the close interaction with the industrial partners in SAFIRE, which represent diverse industry sectors such as white goods and machinery manufacturing.


  • You will have solid algorithmic and mathematical skills
  • Plenty of experience in developing complex software frameworks (preferably using Java and/or Scala)
  • Demonstrate expert knowledge and practical experience in at least two of the following areas: cloud computing, resource management, optimisation, evolutionary algorithms, search-based algorithms
  • Have multi-disciplinary abilities to interact and discuss with those partners in order to understand and formalise their optimisation requirements
  • You will be responsible for drafting and reviewing articles and project deliverables, so a strong publication track record is required and experience in research projects (particularly EU-funded) is highly desired
  • To conduct individual and collaborative research projects, duties to include: analysis and interpretation of research data; use of appropriate research techniques and methods; writing up of research results and dissemination through publications, seminar and conference presentations and public engagement and outreach activities; contributing to the identification of possible new areas of research
  • To provide guidance to other staff and students, as required, as well as coordinating the work of small research teams.  To assist with undergraduate teaching in own area of expertise.

Skills, Experience & Qualification needed

  • PhD in Computer Science or closely-related discipline
  • Knowledge of scheduling and resource management algorithms to engage in high quality research
  • Research expertise in at least two of the following areas: cloud computing, resource management, optimisation, evolutionary algorithms, search-based algorithms
  • Solid mathematical and algorithmic background
  • Solid software development skills

For further information please contact Dr Leandro Soares Indrusiak on

These posts are fixed-term until 30 September 2019

Vacancy Reference: 6830

The University is committed to promoting a diverse and inclusive community  – a place where we can all be ourselves and succeed on merit. We offer a range of family friendly, inclusive employment policies, flexible working arrangements, staff engagement forums, campus facilities and services to support staff from different backgrounds.

      Athena Swan Bronze               

A place where we can ALL be ourselves #EqualityatYork



Forgot password | Register

Why York?

York is one of the most successful universities in the UK.

With world-class activity across the spectrum from the physical sciences, life sciences, and social sciences to the humanities, we have been recognised as one of the top 100 universities in the world, gaining outstanding results in official assessments of our research and teaching.