• Identify, assess, and prioritize emerging digital, AI/ML, and computational technologies that have the potential to address strategic business challenges.
• Supervise academic, industrial, and commercial technology landscapes to identify relevant innovation opportunities.
• Evaluate technology maturity, scalability, business relevance, and deployment readiness.
• Develop independent technical assessments and recommendations regarding the adoption of new technologies.

• Establish and lead partnerships with organizations.
• Define collaboration scopes, structure partnership agreements, and be a phenomenal partner.
• Serve as a representative for bp across external innovation engagements.
• Build and maintain a portfolio of external partnerships that supports bp's innovation and research objectives.

• Lead proof-of-concept (PoC) projects from initiation through completion.
• Define objectives, success criteria, timelines, and key results.
• Coordinate research agreements, contracts, intellectual property considerations, and interested party alignment.
• Assess project outcomes and provide data-driven recommendations regarding future development, scaling, or adoption.

• Benchmark emerging technologies against existing bp workflows, industry standards, and relevant technical baselines.
• Assess data quality, availability, scalability, and model performance.
• Identify mitigation strategies for data and modeling limitations, including transfer learning, synthetic data generation.
• Evaluate the commercial viability and business impact of emerging technologies.

• Support the transition of validated technologies into bp's business and technology organizations by collaborating with engineering, operations, and digital teams.
• Define deployment pathways and facilitate effective technology handover.
• Work with relevant collaborators to ensure successful implementation and value realization.

• Engage with organizations such as the National Science Foundation (NSF), Department of Energy (DOE), ARPA-E, and laboratories to identify collaboration and funding opportunities.
• Supervise research initiatives and emerging opportunities.
• Support or lead proposal development activities.

• Prepare executive-level briefings, technology reviews, and recommendations.
• Communicate sophisticated technical topics optimally to both technical and non-technical audiences.
• Support long-term technology strategy development and innovation planning.
• Present proof-of-concept outcomes and technology assessments,

• Document project outcomes, lessons learned, and guidelines.
• Develop reusable frameworks and methodologies for evaluating emerging technologies.
• Supply to the broader Digital Science innovation agenda by sharing insights from the external technology ecosystem and identifying emerging opportunities.

• Master's degree or equivalent experience in Computer Science, Data Science, Applied Mathematics, Physics, Chemical Engineering, Mechanical Engineering, Computational Science, Engineering, or a related technical field.
• PhD or equivalent experience research experience is highly preferred.

• Solid understanding of Artificial Intelligence and Machine Learning, including:

  • Machine Learning
  • Deep Learning
  • Probabilistic Modeling
  • Scientific Machine Learning (SciML)
  • Physics-Informed Neural Networks (PINNs)
  • Operator Learning
  • Hybrid Modeling
  • Optimization Techniques
  • Uncertainty Quantification

• Ability to critically evaluate technical research, validate results, and assess technology readiness and scalability.

• Experience benchmarking models, evaluating performance claims, and assessing technical maturity.

• Understanding of modern computational science methodologies and digital technologies.

• Significant experience leading external research collaborations and technology partnerships.
• Experience handling proof-of-concept initiatives and technology evaluations from concept through completion.
• Experience working with universities, national laboratories, government research organizations, startups, or technology vendors.
• Familiarity with research agreements, intellectual property considerations, and collaborative research frameworks.
• Experience engaging with government-funded research programs and agencies such as NSF, DOE, ARPA-E, or national laboratories.
• Validated experience assessing emerging technologies and translating technical findings into business recommendations.

• Exceptional written, verbal, and presentation skills.
• Validated experience presenting technology assessments and strategic recommendations to senior leadership.
• Strong collaborator management and relationship-building capabilities.
• Ability to operate efficiently in ambiguous environments and make informed decisions under uncertainty.
• Strong influencing skills to navigate sophisticated organizational and external interested party environments.

• Understanding of intellectual property management in collaborative research environments, including ownership, licensing, publication rights, and data-related considerations.
• Strong project management and organizational skills, with the ability to handle multiple concurrent initiatives and partnerships.
• High commercial awareness, professional integrity, and sensitivity to confidential information.
• Curiosity and passion for new technologies and their application to scientific and engineering challenges.
• Strong analytical and problem-solving capabilities with a continuous learning attitude.

Travel Requirement

Relocation Assistance:

Remote Type:

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