Scientist, Research Scientist, Data Scientist

Scientist I

This position will involve the design and development of novel AI methods, especially self-supervised learning techniques used for training large-scale foundation models, tailored for fundamental physics analyses. The successful candidate will have a strong interest in multidisciplinary and theoretical work, particularly across the areas of High-Energy Physics (HEP), astrophysics, cosmology, statistics, and machine learning. The candidate will work closely with Prof.

Pettee, leading new research directions and supporting the cohesion and mentorship of the team.

The work schedule is flexible and will be determined at the time of hire. This position is in-person and eligible for a partially remote schedule.

• Conducts literature reviews, prepares reports and materials, and disseminates information to appropriate entities
• Assists with the identification of research problems and the development of research methodologies and procedures
• Writes or assists in developing grant applications and proposals to secure research funding
• Attends and assists with the facilitation of scholarly events and presentations in support of continued professional development and the dissemination of research information
• Serves as a main point of contact and liaison with internal and external stakeholders providing information and representing the interests of a specialized research area
• Collects and analyzes research data, conducts experiments and interviews, and documents results according to established policies and procedures under general supervision and limited responsibility

College of Letters & Science, Physics, High Energy

The expected salary range for this position is $60,000 up to $80,000 for highly experienced candidates. Actual pay within this range will depend on experience and qualifications.

Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. Please review the summary of benefits for more information.

• Strong interpersonal and communication skills
• Mentorship & leadership experience
• Demonstrated ability to lead independent, peer-reviewed research work at the intersection of AI and physics
• Fluency in at least one machine learning language (e.g. PyTorch)

• Research experience in projects that merge disciplines in fundamental physics
• Training and/or published research in theoretical physics
• Training and/or published research in data science & machine learning
• Domain expertise in high-energy physics and/or astrophysics

PhD in physics or related fields (especially computer science, data science, statistics, applied math), required

Click the "Apply" button to start the application process.

To be considered for this recruitment, you must upload:

-Resume/Curriculum Vitae (CV)

-Cover Letter

The materials should address your experience relating to the qualifications referenced above.

There is only one attachment field; please upload all application materials here. All listed application materials must be submitted for your application to be considered. Please submit only the materials specified; additional materials will not be reviewed.

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Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply.

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