AI Science Institute Postdoctoral Fellow BCG X

Overview

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Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation—inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities.

Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.

The Boston Consulting Group’s AI Science Institute (AISI) is launching a postdoctoral fellowship program designed to empower the next generation of applied science leaders. This elite, industry-adjacent program offers PhDs and early-career scientists the opportunity to work on some of the world’s most complex and high-impact scientific problems using cutting-edge AI, in collaboration with top-tier partners across aerospace, healthcare, energy, and materials science.

Fellows will operate at the intersection of foundational research, real-world deployment, and strategic impact, helping shape breakthrough work streams with AISI partners. Fellows are expected to shape problem formulation, data strategy, and downstream impact alongside senior scientists, engineers, and industry leaders.

Lead or contribute to multi-disciplinary research initiatives that apply machine learning, simulation, optimization, or GenAI to real-world scientific domains. Collaborate with BCG X teams and external stakeholders, including scientists, engineers, and business leaders, to frame and solve complex technical problems. Author internal and external research outputs, with opportunities to publish in top journals or co-develop IP with partners. Design reproducible, scalable workflows that translate state-of-the-art models into practical tools for discovery and experimentation.

Serve as a scientific ambassador across AISI projects, bringing rigor, creativity, and a passion for impact. Engage directly with client or partner R&D teams to translate research insights into deployable solutions, with support from senior BCG X leaders. Contribute to AISI priority research themes, which may include (illustrative, non-exhaustive): AI-accelerated materials discovery and optimization;
Scientific foundation models (biology, chemistry, climate, or physical systems);
Simulation-augmented learning (e.g., physics-informed ML, RL + simulators);
Compute-enabling technologies (chip design, process optimization, algorithm–hardware co-design);
Quantum algorithms and hybrid classical–quantum workflows.

• Lead or contribute to multi-disciplinary research initiatives that apply machine learning, simulation, optimization, or GenAI to real-world scientific domains.
• Collaborate with BCG X teams and external stakeholders, including scientists, engineers, business leaders, to frame and solve complex technical problems.
• Author internal and external research outputs, with opportunities to publish in top journals or co-develop IP with partners.
• Design reproducible, scalable workflows that translate state-of-the-art models into practical tools for discovery and experimentation.
• Serve as a scientific ambassador across AISI projects, bringing rigor, creativity, and a passion for impact.
• Engage directly, as appropriate, with client or partner R&D teams to translate research insights into deployable solutions, with support from senior BCG X leaders.
• Contribute to AISI priority research themes, which may include:
• AI-accelerated materials discovery and optimization
• Sci…