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Researcher in Novel Computing for 6G at Nokia

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Job Details

Status
Active
Category
Posted
Jun 22, 2026
Expires
Sep 20, 2026
Work style
Hybrid

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About the Role

Overview

Join our Nokia Bell Labs in Cambridge as a researcher to evaluate the use of a novel computing concept called Ising machine in 6G signal processing!

Role

Nokia Bell Labs Cambridge is looking for a researcher to join the Math & Algorithms Research Group, AI Research Lab, to evaluate the use of a novel computing concept called Ising machine in 6G signal processing. Ising machines are a new quantum/analogue computing paradigm for solving discrete optimisation problems. This project is part of a big EU funded initiative (QUEST-6G) pushing the limits of hardware and algorithms design for 6G communications. We are looking for a candidate to help us design algorithms, conduct numerical experiments and conduct benchmarking and analysis of the performance of this new computing approach. This role is a fixed-term appointment for 26 months.

About The Company

Advancing connectivity to secure a brighter world.

Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.

Learn more about life at Nokia.


Our recruitment process

We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.

If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.

The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia.

About The Team

Some of our benefits in UK/Ireland:
  • Flexible working arrangements and additional flex benefits to support work–life balance
  • A minimum of 90 days of Maternity and Paternity Leave, with the option to return to work within a year following the birth or adoption of a child (based on eligibility)
  • Medical insurance plan, life assurance, and long-term disability/critical illness coverage
  • Company sick pay and pension plan to ensure financial security and support during challenging times
  • Annual Leave of 25 working days plus bank holidays​​ 
  • Car allowance based on eligibility
  • Well-being programs to support your mental and physical health
  • Opportunities to engage with Nokia Employee Resource Groups (NERGs), as well as access to mentors, coaches, and Employee Growth Solutions
  • A learning culture that promotes continuous personal and professional growth – for your role and beyond

Responsibilities

  • Exploration of the capabilities of novel computing hardware in 6G wireless communication (e.g. in hybrid precoding, power allocation, antenna positioning, beam focusing, non-linear precoding).
  • Numerical simulation of Ising machines.
  • Compiling of and working with radio signal datasets to evaluate algorithm performance.
  • Creation of written reports and publications about the findings.
  • Presentations to the project consortium and the wider research community.

Requirements

  • You are:

    • a researcher with a PhD degree in electrical engineering, applied mathematics, physics, or related field.

  • experienced in (or shows strong interest in) radio signal processing as applied to mobile communications, particularly for MIMO arrays.

    • familiar with (or shows strong interest in) Ising machines or related novel computing paradigms.

    • experienced with numerical methods and software (e.g. Python, numpy, Mathematica, or similar tools).

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