Job title:

PhD Research Intern (6 months)

Project: "Advanced verification and validation"

About SLB:

We are a global technology company, driving energy innovation for a balanced planet. Together, we create amazing technology that unlocks access to energy for the benefit of all.

At SLB, we recognize that our innovation, creativity, and success stem from our differences. We actively recruit people with a diverse range of backgrounds and cultivate a culture of inclusion that unlocks the benefits of our diversity. We want to ensure that everyone feels a sense of belonging here and we encourage, enable, and empower our people to foster inclusivity, build trust, and demonstrate respect for all across the organization.

Global in outlook, local in practice - and with a united, shared passion for discovering solutions, we hire talented, driven people and support them to succeed, personally and professionally.

Location:

Cambridge, UK

SLB Cambridge Research (SCR) is part of SLB's global network of research and engineering centres. SCR is a dynamic, multidisciplinary environment with state-of-the-art research and computing facilities. We work on applied research projects in the physical sciences to meet the current and future challenges of the industry.

Description & Scope

You will implement and demonstrate the latest neural network verification and validation approaches, including possibly those you are researching in your PhD. Your work will establish best-in-class practices for training neural networks for use in safety critical situations and define the levels of reliability required for AI to be used in control.

Deliverables

• Development and demonstration of best-in-class training and verification techniques with application to real-world data
• Freedom to develop your own research directions and to apply your ideas on Energy Transition technology development
• Contribute to a team developing a broad and flexible hydrogen electrolyser test setup that will test the next generation of materials and processes for the green hydrogen future

Required Skills & Qualifications

• Current PhD candidate in AI (ideally in verification and validation) or a related discipline
• Oral and written communication skills in English
• Good motivation, autonomy, teamwork, and ingenuity
• Passionate interest in neural network training and verification.
• Highly independent and motivated to learn and acquire new technical skills

SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.