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- Tasks: Conduct groundbreaking research in robot learning and develop innovative solutions.
- Company: Join Huawei, a global leader in ICT and smart devices, focused on innovation.
- Benefits: Competitive pay, opportunities for publication, and a chance to work with cutting-edge technology.
- Why this job: Make a real impact in robotics and contribute to the future of technology.
- Qualifications: PhD or exceptional master's in relevant fields; strong programming and machine learning skills required.
- Other info: Collaborative environment with opportunities for professional growth and open-source contributions.
The predicted salary is between 48000 - 72000 £ per year.
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.
Qualifications
- 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.
Company
Huawei is a global provider of information and communications technology (ICT) infrastructure and smart devices. We have a large global presence and a focus on innovation and progress in technology and research collaborations.
Robotics Research Engineer (PAYE Contractor) in City of Westminster employer: Huawei
Contact Detail:
Huawei Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Robotics Research Engineer (PAYE Contractor) in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the robotics and machine learning community. Attend conferences, webinars, or local meetups. You never know who might have a lead on that perfect role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects, code samples, and any publications. This is your chance to shine and demonstrate your expertise in robot learning and reinforcement learning.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your research findings and how they can impact the field. Practice makes perfect, so do mock interviews with friends or colleagues.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at Huawei. Tailor your application to highlight your relevant experience and passion for innovation in robotics.
We think you need these skills to ace Robotics Research Engineer (PAYE Contractor) in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Robotics Research Engineer role. Highlight your experience in robot learning, reinforcement learning, or imitation learning, and don’t forget to mention any relevant publications!
Showcase Your Skills: In your application, clearly showcase your programming skills, especially in Python and PyTorch. If you’ve worked with ROS or LCM, make that stand out too – we love seeing practical experience!
Communicate Clearly: When writing your cover letter, communicate your research findings and ideas clearly. We want to see how you can effectively share your knowledge with the team and the broader community.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Huawei
✨Know Your Research Inside Out
Make sure you can discuss your research in detail, especially any papers you've published. Be prepared to explain your methodologies and findings clearly, as this will show your depth of knowledge and passion for the field.
✨Showcase Your Coding Skills
Since the role requires writing research-level code, be ready to demonstrate your programming skills in Python. Consider bringing a portfolio of your work or discussing specific projects where you used ROS or LCM effectively.
✨Communicate Like a Pro
Effective communication is key, so practice explaining complex concepts in simple terms. This will help you convey your ideas during the interview and show that you can share your findings with both technical and non-technical audiences.
✨Familiarise Yourself with the Company
Research Huawei's recent projects and innovations in ICT and robotics. Understanding their focus areas will not only help you tailor your responses but also demonstrate your genuine interest in contributing to their mission.
