Job Summary Table of Machine Learning

Job Description Summary

Brunel University London seeks a talented Research Assistant or Research Fellow to contribute to cutting-edge EU/UK projects focused on developing wireless network digital twin systems for smart city logistics and advanced communication technologies.

Responsibilities

• Contribute to EU/UK research projects with Innovate UK, EU, and UKRI funding
• Develop machine learning-based algorithms for wireless network systems
• Conduct performance analysis for 5G/6G communication networks
• Establish advanced radio propagation models
• Perform network planning and optimization
• Collaborate with industrial partners in the UK and EU
• Conduct collaborative research and experimental work

Required Skills and Qualifications

• Advanced knowledge of machine learning
• Experience with large AI models
• Understanding of Large Language Models (LLM)
• Expertise in Artificial Intelligence Generated Content (AIGC)
• Strong publication record in leading AI/ML conferences
• Advanced degree in Computer Science or related field

Benefits and Perks

• Competitive salary with London Weighting
• Potential for career progression
• Generous annual leave package
• Discretionary University closure days
• Excellent training and development opportunities
• Comprehensive occupational pension scheme
• Health-related support services
• Hybrid working approach

Company Overview

Brunel University London, established in 1966, is a leading multidisciplinary research-intensive technology university. The Department of Computer Science ranks 3rd in the UK (2020-22) and has consistently been recognized for high-impact scientific research.

Company Culture

Brunel University promotes an inclusive, collaborative research environment that encourages innovation, interdisciplinary work, and cutting-edge technological advancements. The university is committed to supporting researchers in developing groundbreaking solutions to complex global challenges.

Career Growth Opportunities

• Advanced research projects
• Potential for publications in high-impact journals
• Collaboration with international research teams
• Professional development and training programs
• Opportunities to work on innovative technology projects

Diversity, Equity, Inclusion, and Belonging

Brunel University is fully committed to creating an inclusive workforce culture. We welcome applicants from all backgrounds and communities, with a particular emphasis on increasing representation in our research teams.

Equal Opportunity Statement

Brunel University London is an equal opportunity employer. We do not discriminate based on race, color, religion, gender, sexual orientation, national origin, disability, age, or any other protected characteristic.

Remote Work Policy

The university offers a hybrid working approach, providing flexibility for researchers while maintaining collaborative research environments.

Application Process

1. Prepare a comprehensive CV including publications
2. Write a cover letter summarizing experience and achievements
3. Visit the Brunel University careers website
4. Upload documents to the application system
5. Optional: Email Professor Kezhi Wang for informal discussion

Application Deadline

Applications must be submitted by 9 January 2025

How to Apply

• Visit: https://careers.brunel.ac.uk
• Email for inquiries: Kezhi.Wang@brunel.ac.uk
• Technical issues: hrsystems@brunel.ac.uk

Social Media Links

• Brunel University LinkedIn
• Brunel University Twitter

FAQs

• Is visa sponsorship available? Check with HR
• What research areas are covered? Wireless networks, AI, machine learning
• Are international candidates welcome? Yes, diverse applications are encouraged

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