Postdoctoral Researcher - Physics of Machine Learning

Job Title Postdoctoral Researcher
- The Physics of Machine Learning

Location

Campus

Commitment to On-Campus Experience

Syracuse University is committed to delivering an exceptional student experience through vibrant, engaged campus communities. This position is based at the above campus location and requires regular in-person presence to support our students, collaborate with colleagues, and contribute to our thriving academic environment. Syracuse University values the collaboration, mentorship, and spontaneous connections that happen when our community works together on campus.

Remote work arrangements are limited in accordance with University policy.

Pay Range

Pay Range $62,400 - $65,000

Salary offers at Syracuse University will be based on education, experience, and relevant skills, as well as the academic or professional discipline of the position in the context of the home department, school, or college. Salary offers may also be influenced by prior relevant work or industry experience, where applicable. Faculty pay ranges are for 8.5 months’ salary unless otherwise specified.

FLSA Status

FLSA Status Exempt

Hours

Job Type

Job Type Full-time

Rank

Rank Post Doc

Unionized Position Code PD

Job Description

The Physics Department at Syracuse University invites applications for a postdoctoral researcher position in machine learning and theoretical physics within Professor Alexander Maloney’s research group. The successful candidate will engage in machine learning research using approaches inspired by physics, collaborating with physicists and machine learning researchers at Syracuse as well as with researchers in the Simons Collaboration on the Physics of Learning.

Additionally, the candidate will have the opportunity to mentor students working on research projects within the group.

This position is part of a bargaining unit and is represented by a union, SEIU Local 200 United.

Qualifications

Ph.D. in Physics, Applied Mathematics, Computer Science, or related field

Strong background in theoretical physics and/or machine learning techniques

Job Specific Qualifications

The ideal candidate will have experience in theoretical physics and machine learning, and a strong background in statistical physics, quantum field theory, quantum information, or related theoretical areas,

Responsibilities

• Research in physics inspired approaches machine learning
• Collaborating with physicists and machine learning researchers at Syracuse
• Collaborating with other researchers in the Simons Collaboration on the Physics of Learning

Physical Requirements

Tools/Equipment

About Syracuse University

Syracuse University is a private, international research university with distinctive academics, diversely unique offerings, and an undeniable spirit. Located in the geographic heart of New York State, with a global footprint, and over 150 years of history, Syracuse University offers a quintessential college experience. The scope of Syracuse University is a testament to its strengths: a pioneering history dating back to 1870;

a choice of more than 200 majors, 100 minors, and 200 advanced degree programs offered across the University’s 13 schools and colleges; over 15,000 undergraduates and over 6,000 graduate students; more than a quarter of a million alumni in 160 countries; and a student population from all 50 U.S. states and 123 countries. For more information, please visit http://www.syracuse.edu.

About the Syracuse area

Syracuse is a medium-sized city situated in the geographic center of New York State approximately 250 miles northwest of New York City. The metro-area population totals approximately 500,000. The area offers a low cost of living and provides many social, cultural, and recreational options, including parks, museums, festivals, professional regional theater, and premier shopping venues. Syracuse and Central New York present a wide range of seasonal recreation and attractions ranging from water skiing and snow skiing, hiking in the Adirondacks, touring the historic sites, visiting wineries along the Finger Lakes, and biking on trails along the Erie Canal.

EEO Statement

Syracuse University is an equal-opportunity institution. The University prohibits discrimination and harassment based on race, color, creed, religion, sex, gender, national origin, citizenship, ethnicity, marital status, age, disability, sexual orientation, gender identity and gender expression, veteran status, or any other status protected by…