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- Tasks: Collaborate on innovative biometrics solutions and apply machine learning to real-world challenges.
- Company: Join a world-leading laboratory at the forefront of scientific research.
- Benefits: Competitive salary, opportunities for collaboration, and a vibrant scientific community.
- Why this job: Make a meaningful impact on societal challenges through cutting-edge research in biometrics.
- Qualifications: Degree in relevant science or engineering, with experience in biometrics and machine learning.
- Other info: Dynamic environment with opportunities for career growth and collaboration across various sectors.
The predicted salary is between 36000 - 60000 £ per year.
Our world-leading Laboratory is seeking a Data Scientist with experience in Biometrics. As a Data Scientist, you will collaborate as part of a team to develop innovative solutions to societal and National Challenges. This role offers scope to develop new collaborations across NPL, government, industry, and academia. You’ll enjoy developing, applying and sharing knowledge and skills with colleagues, collaborators, and the wider scientific community.
In this role you will be undertaking research in biometrics and the application of machine learning methods to specific problems, as well as general aspects of quality management, risk management, testing and assessment of machine learning algorithms and artificial intelligence (AI) systems. You will become part of a community of Data Scientists working in a variety of projects in AI and Machine Learning, Synthetic or Simulated Data and Biometrics. There is also the opportunity to be involved in projects internally across NPL, focusing on a wide variety of possible metrology applications.
Essential experience:- A degree in Mathematics, Statistics, Computer Science, or a relevant science or engineering discipline, with related post-doctoral experience and an extensive research track record.
- Experience in the field of Biometrics, both research and operational aspects.
- An extensive track record in research and the ability to drive ideas forward in a collaborative manner.
- Experimental data analysis, including design of experimental trials and analysis of data from experimental trials.
- Deep knowledge of methods of machine learning and deep learning and proficiency in the practical application of those methods.
- Testing and assessment of machine learning algorithms and AI systems that include machine learning.
- Proficiency in programming languages such as Python or MATLAB.
- Demonstrable ability in developing a technical roadmap and strategy.
- Interest and involvement in standards.
- Experience of dealing with customers.
- Uncertainty quantification.
We actively recruit citizens of backgrounds, but the nature of our work in specific departments means that nationality, residency and security requirements can be more tightly defined than others. You will be asked about this throughout the recruitment process. To work at NPL, you will need to obtain BPSS security clearance. However, to work in this role in the Data Science department, you will need to have an SC clearance with no restrictions, or you must have the ability to obtain an SC clearance.
Please note: Applications will be reviewed, and interviews conducted throughout the duration of this advert therefore we may at any time bring the closing date forward. We encourage all interested applicants to apply as soon as practical.
Principal Scientist - Biometrics in Coventry employer: National Physical Laboratory
Contact Detail:
National Physical Laboratory Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Scientist - Biometrics in Coventry
✨Tip Number 1
Network like a pro! Reach out to your connections in the biometrics and data science fields. Attend relevant meetups or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and biometrics. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to biometrics and machine learning. Practice explaining your past projects and how they relate to the role. Confidence is key, so get comfortable talking about your experience!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and eager to join our community of Data Scientists.
We think you need these skills to ace Principal Scientist - Biometrics in Coventry
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Principal Scientist role. Highlight your experience in Biometrics and any relevant projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data science and biometrics, and explain why you’re excited about the opportunity at NPL. Let us know how you can contribute to our team.
Showcase Your Research Experience: Since this role involves a lot of research, be sure to detail your post-doctoral experience and any significant projects. We love seeing how you've driven ideas forward in a collaborative environment!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter.
How to prepare for a job interview at National Physical Laboratory
✨Know Your Biometrics Inside Out
Make sure you brush up on the latest trends and technologies in biometrics. Be prepared to discuss your previous research and how it relates to the role. This shows your passion and expertise, which will impress the interviewers.
✨Showcase Your Machine Learning Skills
Since this role heavily involves machine learning, be ready to talk about specific algorithms you've worked with. Bring examples of projects where you've applied these methods, and don't shy away from discussing any challenges you faced and how you overcame them.
✨Collaborative Spirit is Key
This position requires teamwork, so highlight your experience working in collaborative environments. Share examples of how you've successfully partnered with others in research or projects, and how you can contribute to a positive team dynamic.
✨Prepare for Security Clearance Questions
Given the nature of the work, be ready to discuss your eligibility for SC clearance. Familiarise yourself with the requirements and be honest about your background. This will show that you're serious about the role and understand the importance of security in this field.
