* 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
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
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.