Required Skills:

Ph.D. in a quantitative discipline
5+ years of experience in data science and machine learning applications
At least 2+ years in a PI role in an academic or industry lab setting
Excellent knowledge of statistical and machine learning modeling concepts
Desire to mentor junior researchers
Good communications skills: technical presentation, grant writing, peer-reviewed journals

Preferred Skills:

Large-scale dataset analysis, high-performance and parallel computing
Evidence of securing project funding through government or private entities
Desire to work on social impact problems (climate change, energy systems, smart systems, health tech—are a huge plus)
Good network of collaborators in academia and industry

Responsibilities:

Plan and execute cutting-edge ML research in cross-disciplinary projects across PARC’s hardware and software labs.
Write proposals to secure project funding
Help generate compelling hypotheses to drive new business creation.
Mentor interns and collaborate with PARC researchers as well as external R&D groups to advance our research goals.
Publish research results in top-tier journals and at leading international conferences