Job Description

UE07- £39,347- £46,974

College of Science & Engineering- School of Informatics

Full Time- 35 hours per week

Fixed Term- 12 months

The Opportunity

The School of Informatics, University of Edinburgh invites applications for a research associate position in the general area of data-driven networking.

The successful candidate will contribute to industrially funded projects that are broadly aimed at developing/evaluating methods and systems for enabling data-driven networks. You will be expected to lead the research on certain aspects of these projects while contributing to other aspects, including assisting with research student supervision, preparing presentations and reports for deliverables and developing related/follow-on projects. Candidates must have a PhD (or nearing completion) in Computer Science or related field. Evidence of strong research experience as demonstrated through publications at top-tier conferences or high-impact journals is essential. We are looking for a highly motivated candidate with strong initiative and commitment to excellence, and an ability to conduct world-class research in a team setting.

This post is advertised as full-time (35 hours per week), however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.

Please Include The Following Documents In Your Application

CV
Cover letter

For informal queries please contact: Prof. Mahesh Marina ( mahesh@ed.ac.uk )

Your Skills And Attributes For Success

PhD (or near completion) in Computer Science or related field

The following criteria are not yes/no factors, but questions of degree. Recruitment will aim at selecting those candidates with the best possible performance in all these criteria.

Excellent research track record as demonstrated through publications at top-tier conferences or high-impact journals.
Strong experience of research in one or more of the following areas: Data-driven network monitoring, automation and optimization methods; Cloud service assurance; Traffic engineering; Software-defined networking; Wireless and mobile networking; Deep learning; Network data analysis and modelling; Synthetic data generation; Networked systems design and experimental evaluation; O-RAN architecture and use cases; Edge computing; Network measurement; Network security.
Ability to communicate complex information clearly, orally and in writing.
Possess high level of initiative, be detail oriented and ability to effectively work in a team setting.
Preferably, experience in research student supervision and grant writing.

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As a valued member of our team you can expect:

A competitive salary of £39,347 - £46,974
An exciting, positive, creative, challenging and rewarding place to work.
To be part of a diverse and vibrant international community
Comprehensive Staff Benefits, such as a generous holiday entitlement, a defined benefits pension scheme, staff discounts, family-friendly initiatives, and flexible work options. Check out the full list on our staff benefits page (opens in a new tab) and use our reward calculator to discover the total value of your pay and benefits

Championing equality, diversity and inclusion

The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality.

Prior to any employment commencing with the University you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages (opens new browser tab)

The University is able to sponsor the employment of international workers in this role.  If successful, an international applicant requiring sponsorship to work in the UK will need to satisfy the UK Home Office’s English Language requirements and apply for and secure a Skilled Worker Visa

Key dates to note

The closing date for applications is 26 September 2024.

Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.

Feedback is only provided to interviewed candidates.

About Us

As a world-leading research-intensive University, we are here to address tomorrow’s greatest challenges. Between now and 2030 we will do that with a values-led approach to teaching, research and innovation, and through the strength of our relationships, both locally and globally.

About The Team

Informatics is the study of how natural and artificial systems store, process and communicate information. Research in Informatics promises to take information technology to a new level, and to place information at the heart of 21st century science, technology and society. The School enjoys collaborations across many disciplines in the University, spanning all three College, and also participates as a strategic partner in the Alan Turing Institute and, with Heriot-Watt University, in the Edinburgh Centre for Robotics.

The School provides a fertile environment for a wide range of studies focused on understanding computation in both artificial and natural systems. It attracts students around the world to study in our undergraduate and postgraduate programmes, and currently has approximately 1000 undergraduate students, 320 MSc students and 350 PhD students. Informatics is one of seven schools in the College of Science and Engineering, at the University of Edinburgh. It is recognised for the employability of its graduates (demand exceeds supply), its contributions to entrepreneurship, and the excellence of its research. Since the first Research Assessment Exercise in 1986, Informatics at Edinburgh has consistently been assessed to have more internationally excellent and world-class research than any other submission in Computer Science and Informatics. The latest REF 2014 results have again confirmed that ours is the largest concentration of internationally excellent research in the UK. This contributes to our ranking in the top 15 CS departments world-wide according to the latest Times Higher Education ranking.

We aim to ensure that our culture and systems support flexible and family-friendly working and recognise and value diversity across all our staff and students. The School has an active programme offering support and professional development for all staff; providing mentoring, training, and networking opportunities.

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