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- Tasks: Join a dynamic team to research deep learning and train robotic agents.
- Company: Be part of the prestigious University of Oxford, renowned for innovation.
- Benefits: Enjoy a collaborative environment with potential for extension and impactful research.
- Why this job: Contribute to cutting-edge technology while enhancing your academic profile.
- Qualifications: PhD/DPhil in Machine Learning, Computer Vision or Robotics required.
- Other info: Applications close on 2nd June 2025, so act fast!
The predicted salary is between 30000 - 50000 £ per year.
Social network you want to login/join with:Postdoctoral Research Assistant in Machine Learning, Oxfordcol-narrow-leftClient:University of OxfordLocation:Oxford, United KingdomJob Category:Other-EU work permit required:Yescol-narrow-rightJob Reference:9c45eb694ecdJob Views:10Posted:12.08.2025Expiry Date:26.09.2025col-wideJob Description:We are seekinga full-time Postdoctoral Research Assistant in Machine Learning to join the Visual Geometry Group (VGG), in central Oxford. The post is funded by Toyota Motor Europe and is fixed-term for 1 year with a possible extension. Reporting to the Principal Investigator, you will help ensure a healthy and vibrant research environment within the VGG. This will involve conducting research in deep learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion) in Machine Learning, Computer Vision or Robotics. You should have a strong publication record at the principal international computer vision, machine learning or robotics conferences, and should hold sufficient theoretical and practical knowledge of deep learning methodologies. Only online applications received before midday on the 2ndWe are seekinga full-time Postdoctoral Research Assistant in Machine Learning to join the Visual Geometry Group (VGG), in central Oxford. The post is funded by Toyota Motor Europe and is fixed-term for 1 year with a possible extension. Reporting to the Principal Investigator, you will help ensure a healthy and vibrant research environment within the VGG. This will involve conducting research in deep learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion) in Machine Learning, Computer Vision or Robotics. You should have a strong publication record at the principal international computer vision, machine learning or robotics conferences, and should hold sufficient theoretical and practical knowledge of deep learning methodologies. Only online applications received before midday on the 2ndJune 2025 can be considered. #J-18808-Ljbffr
Postdoctoral Research Assistant in Machine Learning employer: JobLeads GmbH
Contact Detail:
JobLeads GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Research Assistant in Machine Learning
✨Tip Number 1
Network with current and former members of the Visual Geometry Group (VGG) at the University of Oxford. Engaging with them can provide insights into the team's research focus and culture, which can be invaluable during interviews.
✨Tip Number 2
Attend relevant conferences or workshops in machine learning, computer vision, or robotics. This not only helps you stay updated on the latest research but also allows you to meet potential colleagues and collaborators from the VGG.
✨Tip Number 3
Familiarise yourself with the specific projects currently being undertaken by the VGG. Tailoring your discussions and demonstrating knowledge about their work can set you apart during the interview process.
✨Tip Number 4
Prepare to discuss your previous research in detail, especially any work related to deep learning, reinforcement learning, or computer vision. Be ready to explain how your experience aligns with the goals of the VGG and the funded project.
We think you need these skills to ace Postdoctoral Research Assistant in Machine Learning
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the specific requirements and responsibilities of the Postdoctoral Research Assistant position. Highlight your relevant experience in deep learning, reinforcement learning, and computer vision.
Tailor Your CV: Customise your CV to reflect your qualifications, particularly your PhD/DPhil and any publications in machine learning or robotics. Emphasise your research experience and any projects that align with the Visual Geometry Group's focus.
Craft a Strong Cover Letter: Write a compelling cover letter that outlines your motivation for applying, your research interests, and how they align with the goals of the VGG. Mention any relevant collaborations or experiences that demonstrate your fit for the role.
Proofread and Submit: Before submitting your application, proofread all documents for clarity and correctness. Ensure that you meet the deadline of midday on the 2nd June 2025 and submit your application through our website for consideration.
How to prepare for a job interview at JobLeads GmbH
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to deep learning, reinforcement learning, and computer vision. Highlight any publications you've contributed to, as this will demonstrate your expertise and commitment to the field.
✨Understand the VGG's Work
Familiarise yourself with the Visual Geometry Group's current research and projects. This knowledge will allow you to ask insightful questions during the interview and show that you're genuinely interested in contributing to their work.
✨Prepare for Technical Questions
Expect to face technical questions related to machine learning methodologies and algorithms. Brush up on key concepts and be ready to explain how you would apply them in practical scenarios, particularly in training robotic agents.
✨Demonstrate Team Collaboration Skills
Since the role involves working within a team, be ready to discuss your experiences collaborating with others on research projects. Highlight your ability to communicate complex ideas clearly and work effectively in a group setting.
