At a Glance
- Tasks: Investigate safety implications of AI systems and design cutting-edge experiments.
- Company: Corehr, a leading research institution in Central Oxford.
- Benefits: Competitive salary, research funding, and opportunities for publication.
- Other info: One-year funded position with potential for impactful discoveries.
- Why this job: Contribute to groundbreaking research in machine learning and AI safety.
- Qualifications: PhD or near completion in machine learning or related field.
The predicted salary is between 35000 - 45000 £ per year.
Corehr is seeking a Postdoctoral Research Assistant in Machine Learning in Central Oxford. This role, funded by KAUST for a one-year term, focuses on investigating the safety implications of large language model agents interacting with systems and APIs.
The ideal candidate will have a PhD or be near completion in a related field and possess a strong background in machine learning and computer security.
Responsibilities include:
- Designing experiments
- Studying adversarial threats
- Publishing research
Postdoc in ML Safety & Agentic AI Systems in Oxford employer: Corehr
Corehr is an exceptional employer, offering a dynamic work environment in the heart of Central Oxford, where innovation meets collaboration. With a strong emphasis on employee growth, we provide ample opportunities for research publication and professional development, all while fostering a culture that values creativity and safety in AI systems. Join us to be part of a forward-thinking team dedicated to making meaningful contributions to the field of machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Postdoc in ML Safety & Agentic AI Systems in Oxford
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Corehr before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Corehr.
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We think you need these skills to ace Postdoc in ML Safety & Agentic AI Systems in Oxford
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Corehr, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Corehr, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Corehr’s attention and show the tangible impact of your work.
How to prepare for a job interview at Corehr
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Corehr.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Corehr.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Corehr.
