Lecturer in Distributed Systems

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TN United Kingdom
Leicester
GBP 40,000 - 80,000
Be among the first applicants.
2 days ago
Job description

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Client:

University Of Leicester

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Other

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Job Reference:

307d0b652d87

Job Views:

14

Posted:

28.04.2025

Expiry Date:

12.06.2025

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Job Description:

About the role: We are excited to announce an opening for a Lecturer to join our School of Computing and Mathematical Sciences.

You will be part of the Distributed and High-Performance Systems Research Group, led by Prof. Ashiq Anjum. This group comprises professors, assistant professors, PDRAs, and PhD students working in areas like digital twins, HPC, distributed ledger technology, and process scheduling in data centres. The group has a strong track record in digital twins and funding, including co-leading a UKRI AI for Net Zero hub.

The successful candidate will engage in research and teaching in Computer Science, focusing on publication, teaching material development, supervision, and impactful research through grants and collaborations.

At the University of Leicester, you'll work in a supportive environment with mentoring. Our research-intensive university is located in the UK, with a balanced workload model.

We are looking for an enthusiastic educator with a PhD and/or postdoctoral experience in areas such as:

  • Distributed machine learning algorithms and system architectures
  • Methods for exploiting modern system architectures for high-performance AI
  • Embedding machine learning in large-scale deployment of distributed cyber-physical systems
  • Meeting performance, latency, scalability, and complexity demands of distributed machine learning architectures
  • Digital twins platforms integrating real-world constraints for reliable and trust-aware models
  • Quantum distributed computing and quantum machine learning

You should have a strong research reputation, high-quality publication record, and evidence of fundable research ideas. Excellent networking skills for collaboration and citizenship are also required.

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