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- Tasks: Lead the development of ML techniques for neutrino event simulation and analysis.
- Company: Join UCL’s cutting-edge neutrino group in particle physics.
- Benefits: 41 days holiday, pension scheme, on-site gym, and more.
- Why this job: Make a real impact in particle physics with innovative machine learning applications.
- Qualifications: PhD in particle physics and experience in machine learning models.
- Other info: Exciting short-term role with potential for future leadership.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for an outstanding particle physicist and expert machine-learning practitioner to join UCL’s neutrino group leading the development, calibration and application of state-of-the-art ML techniques for fast physics simulation of neutrino events produced in the NuMI long baseline experiments based on existing simulation and data. The goal is to improve analyses of the neutrino oscillation parameters using up-to-date theoretical information and potentially feed back to the theory community on parameter values. The position can start from April with a funding end date of 31 March - 2 years.
The successful candidate will have (or be about to submit) a PhD in particle physics, and a strong record of originality in research, demonstrated by a good publication record, commensurate with the applicant’s career stage. They will have excellent written and verbal communication skills, and will have shown evidence of future leadership potential. Given the short-term nature of this role, experience in developing and applying cutting-edge machine learning models for applications in experimental HEP and beyond is essential.
As well as the exciting opportunities this role presents, we also offer some great benefits:
- 41 Days holiday (27 days annual leave, 8 bank holidays and 6 closure days)
- Additional 5 days’ annual leave purchase scheme
- Defined benefit career average revalued earnings pension scheme (CARE)
- Cycle to work scheme and season ticket loan
- Immigration loan
- Relocation scheme for certain posts
- On-Site nursery
- On-site gym
- Enhanced maternity, paternity and adoption pay
- Employee assistance programme: Staff Support Service
- Discounted medical insurance
Research Fellow in Machine Learning for Neutrino Physics employer: UCL Eastman Dental Institute
Contact Detail:
UCL Eastman Dental Institute Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Fellow in Machine Learning for Neutrino Physics
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the neutrino group at UCL. A friendly chat can give us insights into the team culture and what they really value in candidates.
✨Tip Number 2
Prepare for the interview by brushing up on your machine learning techniques. We want to see how you can apply them to neutrino physics, so think of examples where you've used ML in your research.
✨Tip Number 3
Showcase your leadership potential! Think of times when you've led a project or mentored others. We love to see candidates who can inspire and guide their peers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we’re always looking for passionate individuals like you!
We think you need these skills to ace Research Fellow in Machine Learning for Neutrino Physics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in particle physics and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects and publications!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about neutrino physics and how your background makes you the perfect fit for our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Communication Skills: Since excellent communication is key for this role, make sure your application reflects that. We want to see clear, concise writing that demonstrates your ability to convey complex ideas effectively. Keep it professional but let your personality shine through!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it shows you’re keen on joining our community at StudySmarter. We can’t wait to see what you bring to the table!
How to prepare for a job interview at UCL Eastman Dental Institute
✨Know Your Stuff
Make sure you brush up on your particle physics and machine learning knowledge. Be ready to discuss your research and how it relates to neutrino physics. Familiarise yourself with the latest developments in ML techniques, especially those applicable to fast physics simulation.
✨Showcase Your Publications
Prepare to talk about your publication record and any original research you've conducted. Highlight specific projects that demonstrate your expertise and leadership potential. This is your chance to show how your work aligns with the goals of the neutrino group.
✨Communicate Clearly
Since excellent communication skills are a must, practice explaining complex concepts in simple terms. You might be asked to present your ideas or findings, so being articulate and engaging will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team’s current projects. This shows your genuine interest in the position and helps you gauge if it's the right fit for you. Consider asking about their approach to integrating ML with experimental data analysis.