Fully Funded PhD: Algorithms & Hardware for Bayesian/Ising

Northeastern University - London

Greater London

On-site

GBP 18,000 - 22,000

Full time

5 days ago
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Benefits offered by this job

25 days annual leave
CPD plans and professional development
Private medical insurance
Eye test reimbursement
Cycle to work scheme
Employee assistance programme

Job summary

Northeastern University London offers a Fully Funded PhD Scholarship in Computer Science, focusing on algorithms and hardware co-design for Bayesian and Ising models. The project is UK or international student-friendly and funded by NU London and IMEC, with 4 years of support including tuition and stipend at UKRI rates plus a London allowance.

Start date January 2027; supervision by Bipin Rajendran and Darren Hurley-Smith, with collaboration across NU London and the University of Kent.

Qualifications

  • Bachelor’s degree in a relevant subject with 2:1 or 1st classification (essential).
  • Master’s degree in a relevant subject (optional).
  • Strong mathematical and analytical abilities; interest in probabilistic modelling and hardware‑aware algorithms.

Responsibilities

  • Develop algorithms and hardware architectures for Bayesian and Ising models.
  • Collaborate with international supervisors and engage in open research discussions.
  • Publish findings and present at conferences.

Skills

Mathematical background
Algorithm design
Hardware-software co-design
Bayesian models
Ising models
Programming (Python/C++)

Education

Bachelor's degree in a relevant subject
Master’s degree (optional)

Tools

MRAM devices

Job description

Northeastern University London offers a Fully Funded PhD Scholarship in Computer Science, focusing on algorithms and hardware co-design for Bayesian and Ising models. The project is UK or international student-friendly and funded by NU London and IMEC, with 4 years of support including tuition and stipend at UKRI rates plus a London allowance.

Start date January 2027; supervision by Bipin Rajendran and Darren Hurley-Smith, with collaboration across NU London and the University of Kent.

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