Scientist, Data Scientist, Research Scientist

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Job Category:
Academic Staff

Employment Type:

Regular

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 (https://(Use the "Apply for this Job" box below).)

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

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.

The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.

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.

For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.

Rachel Mattingly, rachel.mattingly,

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