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- Tasks: Develop groundbreaking technologies in Vision and Language through high-impact research.
- Company: Join a leading research team focused on innovative Machine Learning and Computer Vision.
- Benefits: Competitive salary, research funding, and opportunities for collaboration with top experts.
- Why this job: Make a real difference by solving key challenges in cutting-edge technology.
- Qualifications: PhD in relevant field with strong research background in Machine Learning and Computer Vision.
- Other info: Be part of a dynamic team with a focus on future interaction technologies.
The predicted salary is between 43200 - 72000 £ per year.
As a Researcher, your main task will be to develop breakthrough technologies in the area of Vision and Language. You are expected to conduct high-impact research targeting the top Computer Vision and Machine Learning venues, and to focus on solutions to key technical challenges. While the target is mid- to long-term research, upon maturity of the research, the team is expected to transfer the technology to product divisions and their Engineering teams, which will then be in charge of driving the commercialization. Role and Responsibilities We have 1 position open in the broad areas of Machine Learning and Computer Vision with a focus on Vision and Language. The positions are part of the Future Interaction Research Programme. Our topics of interest include but are not limited to: Contrastively-trained and auto-regressive Vision
Machine Learning/Computer Vision Researcher - (PhD) employer: Microtech Global Ltd
Contact Detail:
Microtech Global Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning/Computer Vision Researcher - (PhD)
✨Tip Number 1
Network like a pro! Reach out to professionals in the Machine Learning and Computer Vision fields 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 Vision and Language. This gives potential employers a tangible look at your skills and creativity.
✨Tip Number 3
Prepare for interviews by brushing up on key concepts in Machine Learning and Computer Vision. Be ready to discuss your research and how it can solve real-world problems, especially those that align with the company's goals.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Machine Learning/Computer Vision Researcher - (PhD)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Machine Learning and Computer Vision. We want to see how your skills align with our focus on Vision and Language, so don’t hold back on 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 developing breakthrough technologies and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Research Impact: When detailing your past research, focus on the impact it had. We’re interested in high-impact work, so mention any publications or presentations at top venues that demonstrate your contributions to the field.
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 in our Future Interaction Research Programme!
How to prepare for a job interview at Microtech Global Ltd
✨Know Your Research Inside Out
Make sure you can discuss your previous research projects in detail, especially those related to Machine Learning and Computer Vision. Be prepared to explain your methodologies, findings, and how they could apply to the role you're interviewing for.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest advancements in Vision and Language technologies. Being able to reference recent papers or breakthroughs during your interview will show that you're engaged and knowledgeable about the field.
✨Prepare for Technical Questions
Expect to face technical questions that assess your problem-solving skills and understanding of key concepts. Brush up on algorithms, models, and frameworks relevant to the position, and practice explaining them clearly.
✨Showcase Collaboration Skills
Since the role involves transferring technology to product divisions, highlight any experience you have working in interdisciplinary teams. Discuss how you've successfully collaborated with engineers or product managers in the past.