University of Essex
Research Position

Senior Research Officer (Internal) - CSEE

Deadline
Oct 25, 2026
Closing in 8 days
Location
N/A
United Kingdom
Employment
Fixed contract (1-4 years)
Full time
Reference
N/A
Posted Oct 17, 2026
Offered salary£38,784 - £41,064 per annum

About the role

Senior Research Officer (Internal) - CSEE

Reference: REQ10339

Job details

Job referenceREQ10339 Application closing date25/10/2026 LocationColchester Salary£38,784 - £41,064 per annum Employment typeFull time, Fixed term Job category/typeResearch Attachments REQ10339 Jobpack.pdf

Senior Research Officer (Internal) - CSEE

Job description

*** Internal Applicants only ***

Department

School of Computer Science and Electronic Engineering (CSEE), University of Essex.

Duties of the Role

The successful candidate will contribute to the EU Horizon-funded SAFARI project, focusing on AI-enabled resilient networking and federated edge intelligence.

Key responsibilities include:

  • Conducting research on AI for networking, edge technologies, multipath routing, delay-tolerant networking (DTN), and Network on Wheels (NoW).
  • Developing AI-driven methods for resilient edge networking, agentic edge nodes, and federated intelligence.
  • Designing, implementing, and evaluating novel networking and learning approaches.
  • Collaborating with international project partners and contributing to project deliverables.
  • Publishing research findings in high-quality journals and conferences and supporting future research proposals.

Skills/Qualifications

Essential:

  • A PhD (or near completion) in Computer Science, Electronic Engineering, or equivalent professional experience.
  • Research experience and knowledge of AI for networking.
  • Programming skills in C/C++ and/or Python.
  • Evidence of high-quality research activity and a developing publication record.
  • Strong communication skills and the ability to work collaboratively.

Desirable:

  • Knowledge of edge computing, multipath routing, DTN, or NoW.
  • Experience with machine learning frameworks such as TensorFlow or Keras.
  • Experience in optimisation, research proposal development, or externally funded projects.

At the University of Essex, internationalism and diversity is central to who we are and what we do. We are committed to being a cosmopolitan, internationally oriented university that is welcoming to staff and students from all countries, faiths and backgrounds, where you can find the world in one place.

To support this commitment we have our Global Forum, a staff-led network that promotes and celebrates the rich cultural diversity among Essex staff, and our Colchester campus based Faith Centre, which hosts regular services, meetings and events organised by our chaplains and faith representatives.

Please see the attached job pack, which contains a full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role plus more information relating to the post. We recommend you read this information carefully before making an application.  Applications should be made on-line, but if you would like advice or help in making an application, or need information in a different format, please email [email protected] 

*More information: Working at the University

Apply online Send to a friend

Senior Research Officer (Internal) - CSEE

Job description

*** Internal Applicants only ***

Department

School of Computer Science and Electronic Engineering (CSEE), University of Essex.

Duties of the Role

The successful candidate will contribute to the EU Horizon-funded SAFARI project, focusing on AI-enabled resilient networking and federated edge intelligence.

Key responsibilities include:

  • Conducting research on AI for networking, edge technologies, multipath routing, delay-tolerant networking (DTN), and Network on Wheels (NoW).
  • Developing AI-driven methods for resilient edge networking, agentic edge nodes, and federated intelligence.
  • Designing, implementing, and evaluating novel networking and learning approaches.
  • Collaborating with international project partners and contributing to project deliverables.
  • Publishing research findings in high-quality journals and conferences and supporting future research proposals.

Skills/Qualifications

Essential:

  • A PhD (or near completion) in Computer Science, Electronic Engineering, or equivalent professional experience.
  • Research experience and knowledge of AI for networking.
  • Programming skills in C/C++ and/or Python.
  • Evidence of high-quality research activity and a developing publication record.
  • Strong communication skills and the ability to work collaboratively.

Desirable:

  • Knowledge of edge computing, multipath routing, DTN, or NoW.
  • Experience with machine learning frameworks such as TensorFlow or Keras.
  • Experience in optimisation, research proposal development, or externally funded projects.

At the University of Essex, internationalism and diversity is central to who we are and what we do. We are committed to being a cosmopolitan, internationally oriented university that is welcoming to staff and students from all countries, faiths and backgrounds, where you can find the world in one place.

To support this commitment we have our Global Forum, a staff-led network that promotes and celebrates the rich cultural diversity among Essex staff, and our Colchester campus based Faith Centre, which hosts regular services, meetings and events organised by our chaplains and faith representatives.

Please see the attached job pack, which contains a full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role plus more information relating to the post. We recommend you read this information carefully before making an application.  Applications should be made on-line, but if you would like advice or help in making an application, or need information in a different format, please email [email protected] 

*More information: Working at the University

Apply online Send to a friend

How to apply

Read the full posting, then apply through the employer's own site. Applications are handled by the institution, not by AcademicGates.