Principal Scientist - Biometrics

National Physical Laboratory; Coventry; On-site; GBP 125,000 - 150,000; Full time

Job summary

A leading research facility in Coventry is seeking an experienced Data Scientist to work on innovative projects involving Biometrics and machine learning. This role includes research on AI systems, analyzing experimental data, and developing collaborations with government and industry. Candidates should have a background in Mathematics, Statistics, or Computer Science, with significant experience in biometrics. Successful applicants will need security clearance and must demonstrate strong programming and analytical skills.

Qualifications

• Experience in the field of Biometrics, both research and operational aspects.
• Extensive track record in research with collaborative idea development.
• Deep knowledge of methods of machine learning and deep learning.

Responsibilities

• Conduct research in biometrics and machine learning applications.
• Collaborate on projects focusing on metrology applications.
• Develop and apply methods in quality and risk management.

Skills

Data analysis

Knowledge of machine learning

Collaboration

Experimental trial design

Programming in Python or MATLAB

Education

Degree in Mathematics, Statistics, Computer Science, or relevant discipline

Job description

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. Excitingly, 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.