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AI Science Institute Postdoctoral Fellow, United States - BCG X

LinkedIn Boston Consulting Group (BCG) Manhattan Beach, CA
Not Applicable Posted April 2, 2026 4 variants Job link
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Requirements
  • 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.
  • 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 Who You'll Work With
  • Leading or co-leading a defined AISI research workstream
  • Delivering models, methods, or code integrated into an active project
  • Establishing a clear publication and/or IP trajectory identified
  • Producing at least one external-facing research output, such as a paper, preprint, workshop, or open-source contribution.
  • Being recognized internally as a go-to contributor in a priority scientific domain.
  • Actively collaborating with at least one external partner or client R&D team.
  • Delivering multiple high-quality research outputs and/or patented IP.
  • Submit your Resume/CV and a 1–2 page statement of interest combined in one pdf (research background, domains of interest, and why AISI)
  • Share any relevant links to publications, code, or personal projects
  • You must live within a reasonable commuting distance of your home office.
  • As a member of that office, it is expected you will be in the office as directed.
Preferred Skills
  • Scientific foundation models (biology, chemistry, climate, or physical systems)
  • Simulation-augmented learning (e.g., physics-informed ML, RL + simulators)
Education
  • (Not required) – Submit your Resume/CV and a 1–2 page statement of interest combined in one pdf (research background, domains of interest, and why AISI)
  • (Not required) – Share any relevant links to publications, code, or personal projects
  • (Not required) – You must live within a reasonable commuting distance of your home office.