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- Tasks: Develop cutting-edge algorithms and conduct exciting experiments in AI and robotics.
- Company: Leading educational institution at the forefront of research and innovation.
- Benefits: Competitive compensation and fantastic opportunities for professional growth.
- Why this job: Join a pioneering team and contribute to groundbreaking research in embodied AI.
- Qualifications: Bachelor's degree in Computer Science and relevant research experience required.
- Other info: Dynamic research environment with a focus on multimodal learning and computer vision.
The predicted salary is between 36000 - 60000 £ per year.
A leading educational institution is looking for a research candidate focusing on Embodied Perception and Reasoning algorithms.
Responsibilities include:
- Developing algorithms
- Conducting experiments
- Publishing research
Ideal candidates should have:
- A Bachelor's degree in Computer Science
- At least a year of relevant research experience, especially in multimodal learning and computer vision
The role offers competitive compensation and opportunities for professional development.
Embodied AI Research Engineer - Vision & Robotics in London employer: HYPERSCAL SOLUTIONS PTE. LTD.
Contact Detail:
HYPERSCAL SOLUTIONS PTE. LTD. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Embodied AI Research Engineer - Vision & Robotics in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of AI and robotics on platforms like LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Showcase your work! Create a portfolio or GitHub repository that highlights your projects related to embodied perception and reasoning algorithms. This gives potential employers a tangible look at your skills.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your research experience and how it relates to multimodal learning and computer vision. Practice common interview questions with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Embodied AI Research Engineer - Vision & Robotics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in multimodal learning and computer vision. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about Embodied Perception and Reasoning algorithms. We love seeing candidates who can connect their personal interests with our mission.
Showcase Your Research Experience: Since we’re looking for someone with at least a year of relevant research experience, make sure to detail your past projects. Include any publications or experiments you've conducted that relate to the role.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at HYPERSCAL SOLUTIONS PTE. LTD.
✨Know Your Algorithms
Make sure you brush up on the latest in Embodied Perception and Reasoning algorithms. Be ready to discuss your previous work with these algorithms, as well as any experiments you've conducted. This shows your depth of knowledge and passion for the field.
✨Showcase Your Research Experience
Prepare to talk about your relevant research experience in multimodal learning and computer vision. Have specific examples ready that highlight your contributions and the impact of your work. This will demonstrate your capability and fit for the role.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the institution's current projects or future directions in AI research. This not only shows your interest but also helps you gauge if the environment aligns with your career goals.
✨Practice Makes Perfect
Conduct mock interviews with friends or mentors to refine your answers and get comfortable discussing technical topics. The more you practice, the more confident you'll feel during the actual interview, which can make all the difference.
