Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop groundbreaking research in robot learning and contribute to open-source projects.
- Company: Global leader in ICT services with a focus on innovation.
- Benefits: Competitive salary, research opportunities, and collaboration with top experts.
- Why this job: Join a cutting-edge team and shape the future of robotics technology.
- Qualifications: PhD in Computer Science, strong Python skills, and experience with ROS or LCM.
- Other info: Exciting environment with potential for impactful research and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A global provider of ICT services seeks a Research Scientist to develop high-impact research output in robot learning. Candidates must have a PhD in Computer Science or related field, strong programming skills in Python, and experience with ROS or LCM.
The role involves writing research-level code, publishing findings, and contributing to open-source initiatives. This is an opportunity to work at the forefront of technology and research collaborations.
Robotics Research Engineer: ML, RL & Open-Source 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: ML, RL & Open-Source in City of Westminster
✨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 involving Python, ROS, or LCM. This is your chance to demonstrate your coding prowess and research capabilities.
✨Tip Number 3
Stay updated with the latest trends in robot learning. Follow relevant journals and blogs, and engage in discussions. This will not only boost your knowledge but also show potential employers your passion for the field.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly. Plus, it shows us you’re genuinely interested in being part of our team at the forefront of technology.
We think you need these skills to ace Robotics Research Engineer: ML, RL & Open-Source in City of Westminster
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and any experience you have with ROS or LCM. We want to see how your background aligns with the role, so don’t hold back on showcasing your expertise!
Research Matters: Since this role involves writing research-level code and publishing findings, include any relevant publications or projects in your application. We love seeing candidates who are passionate about contributing to the field of robot learning.
Be Open-Source Savvy: If you've contributed to open-source initiatives, mention it! We value collaboration and innovation, so sharing your experiences in this area can really set you apart from other candidates.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at the forefront of technology!
How to prepare for a job interview at Huawei
✨Know Your Stuff
Make sure you brush up on your knowledge of robot learning, machine learning (ML), and reinforcement learning (RL). Be ready to discuss your PhD research in detail, as well as any relevant projects you've worked on. This will show that you're not just familiar with the theory but can also apply it practically.
✨Show Off Your Coding Skills
Since strong programming skills in Python are a must, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss your previous code. Bring examples of your work, especially if they involve ROS or LCM, to showcase your experience.
✨Talk Open-Source
This role involves contributing to open-source initiatives, so be ready to discuss your experience with open-source projects. If you've contributed to any, share your insights and what you learned from those experiences. If not, consider discussing how you would approach contributing to such projects.
✨Research Collaboration Mindset
Since this position involves working at the forefront of technology and research collaborations, highlight your teamwork skills. Share examples of how you've successfully collaborated with others in your field, whether in academia or industry, to demonstrate that you can thrive in a collaborative environment.
