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- Tasks: Conduct groundbreaking research in robot learning and develop innovative solutions for real-world applications.
- Company: Join Huawei, a global leader in ICT research with a focus on innovation and collaboration.
- Benefits: Competitive salary, opportunities for publication, and a chance to work on cutting-edge technology.
- Why this job: Make a real impact in robotics and contribute to the future of AI technologies.
- Qualifications: PhD or Master's in Computer Science or Engineering; strong programming and machine learning skills required.
- Other info: Dynamic research environment with opportunities for career growth and open-source contributions.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Huawei Research And Development UK Limited is a leading ICT research organization with a global footprint. Huawei has the largest Research and Development organization in the world with a focus on basic research, innovation, and collaboration with academic institutions in the UK. In the UK, design centers are located in Cambridge, London, Edinburgh and Ipswich. The company aims to publish open research and contribute to the development of future technologies.
Job Summary
Huawei UKRD is seeking exceptional candidates to pursue research in various aspects of robot learning, reinforcement learning and imitation learning. The successful applicant is expected to develop novel contributions enabling progress toward real-world robots. Key research questions include but are not limited to real-robot deployment of embodied AI, behavior synthesis from natural language, and foundation models for robots. This role involves theoretical advances and applying innovations in the real world, with the goal of publishing work in leading conferences and journals and open-sourcing code of novel discoveries.
Key Responsibilities
- Develop high-impact research output in the field of robot learning, reinforcement learning, or imitation learning
- Write research-level code capable of testing novel ideas and new approaches
- Effectively communicate research findings to the team and to the broader community through journal and conference publications
- Aid in progressing research fields by open-sourcing code
Person Specification
- Required: PhD in Computer Science, Engineering, or related field. Exceptional candidates with a masters will be considered.
- Papers in top-tier conferences (e.g., ICML, ICLR, NeurIPS, RSS, CoRL, ICRA)
- Experience with ROS or LCM
- Strong understanding of machine learning
- Strong programming skills in Python
- Experience with PyTorch
- Good understanding of transformer architectures and attention mechanisms
- Desired: Familiarity with Docker
- Experience with real robot systems
Seniority level
- Entry level
Employment type
- Full-time
Job function
- Engineering and Information Technology
- Industries: Telecommunications
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Robotics Research Engineer (PAYE Contractor) employer: Huawei Technologies Research & Development (UK) Ltd
Contact Detail:
Huawei Technologies Research & Development (UK) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Robotics Research Engineer (PAYE Contractor)
✨Tip Number 1
Network like a pro! Reach out to professionals in the robotics field on LinkedIn or at conferences. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to robot learning and reinforcement learning. We love seeing practical applications of your knowledge!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and coding skills. We recommend practicing common interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Robotics Research Engineer (PAYE Contractor)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Robotics Research Engineer. Highlight your relevant experience in robot learning, reinforcement learning, and any publications you've contributed to. We want to see how your background aligns with our research goals!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about robotics and how your skills can contribute to our innovative projects. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, especially those involving Python, PyTorch, or real robot systems, make sure to mention them. We’re keen to see your practical experience and how you’ve applied your knowledge in real-world scenarios.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Huawei Technologies Research & Development (UK) Ltd
✨Know Your Research
Make sure you’re well-versed in your own research and the latest advancements in robot learning, reinforcement learning, and imitation learning. Be ready to discuss your papers and how they relate to the work at Huawei. This shows your passion and expertise!
✨Showcase Your Coding Skills
Since writing research-level code is a key part of the role, be prepared to talk about your programming experience, especially in Python and PyTorch. You might even want to bring examples of your work or projects that demonstrate your coding prowess.
✨Understand the Company’s Vision
Familiarise yourself with Huawei's goals in ICT research and their focus on collaboration and innovation. Being able to articulate how your research aligns with their mission will set you apart from other candidates.
✨Prepare for Technical Questions
Expect technical questions related to machine learning, transformer architectures, and real-robot systems. Brush up on these topics and think through how you would apply your knowledge in practical scenarios. This will help you demonstrate your problem-solving skills effectively.
