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For Companies At a Glance
- Tasks: Engage in cutting-edge research on Machine Learning and Computer Vision, focusing on Vision and Language.
- Company: Join a leading research centre dedicated to innovative technology and future interactions.
- Benefits: Enjoy opportunities for publishing, collaboration, and working with top-tier teams in tech.
- Why this job: Be part of groundbreaking research that shapes the future of AI and technology.
- Qualifications: PhD candidates with research experience in Computer Vision or Machine Learning are encouraged to apply.
- Other info: Ideal for those passionate about publishing in prestigious conferences and advancing AI technologies.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
- 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 & Language (e.g. CLIP, BLIP).Visual LLMs (e.g. LLaVA).
- Generative Models (e.g. Stable Diffusion and Auto-Regressive models).
- Efficient Architectures.
- Model Compression (distillation, quantization).Efficient Adaptation of Large Models.
Key Responsibilities:
- Conduct hands-on innovative research, including methodological conceptualization and implementation.
- Publishing at top venues: CVPR, ECCV, ICCV, ICLR, NeurIPS, ICML, EMNLP, ACL, TPAMI and IJCV.
- Contribute to the research agenda and directions within the center.
- Interact with product and engineering teams for the purpose of technology transfer.
Key Skills Required:
Research experience in the fields of Computer Vision and/or Machine Learning.Familiarity with fast prototyping Deep Learning frameworks such as PyTorch.A track record of publishing at top-tier venues (e.g. CVPR, ECCV, ICCV, ICLR, NeurIPS, EMNLP, ACL, ICML, TPAMI and IJCV).Ability to communicate well and to collaborate with other group members.
Machine Learning/Computer Vision (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 (PhD)
✨Tip Number 1
Make sure to showcase your research experience in Machine Learning and Computer Vision during networking events or conferences. Engaging with professionals in these fields can help you gain insights and potentially lead to referrals.
✨Tip Number 2
Join online forums and communities focused on Machine Learning and Computer Vision. Participating in discussions can help you stay updated on the latest trends and technologies, which is crucial for impressing during interviews.
✨Tip Number 3
Consider collaborating on open-source projects related to Vision and Language. This not only enhances your portfolio but also demonstrates your ability to work in a team and contribute to innovative research.
✨Tip Number 4
Prepare to discuss your previous publications at top-tier venues. Being able to articulate your research findings and their impact will show your depth of knowledge and commitment to the field.
We think you need these skills to ace Machine Learning/Computer Vision (PhD)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant research experience in Machine Learning and Computer Vision. Include any publications at top-tier venues, as this is crucial for the role.
Craft a Strong Cover Letter: In your cover letter, express your passion for the field and mention specific projects or research that align with the company's focus on Vision and Language. Show how your skills can contribute to their research agenda.
Highlight Technical Skills: Clearly outline your familiarity with Deep Learning frameworks like PyTorch and any experience with generative models or model compression techniques. This will demonstrate your technical capabilities.
Showcase Collaboration Experience: Mention any previous experiences where you collaborated with product and engineering teams. Highlight your ability to communicate effectively, as this is essential for technology transfer within the company.
How to prepare for a job interview at Microtech Global Ltd
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to Machine Learning and Computer Vision. Highlight any publications you've contributed to, particularly in top-tier venues, as this will demonstrate your capability and commitment to the field.
✨Familiarise Yourself with Relevant Technologies
Make sure you have a solid understanding of the technologies mentioned in the job description, such as PyTorch and generative models. Being able to discuss these tools and how you've used them in your work will show that you're well-prepared for the role.
✨Prepare for Technical Questions
Expect technical questions that assess your knowledge of contrastively-trained models, visual LLMs, and model compression techniques. Brush up on these topics and be ready to explain complex concepts clearly, as this will reflect your depth of understanding.
✨Demonstrate Collaboration Skills
Since the role involves interacting with product and engineering teams, be ready to share examples of how you've successfully collaborated in the past. Emphasising your communication skills and teamwork will show that you can work effectively within a multidisciplinary environment.
