Lawrence Berkeley National Lab’s (LBNL) Physics Division has an opening for a Postdoctoral Scholar to join the team.

In this exciting role, you will work with the Physics Division Machine Learning Group on anomaly detection techniques and their application to the ATLAS experiment.  For more information about this position, please contact Dr. Benjamin Nachman.

The posting shall remain open until the position is filled, however for full consideration, please apply by close of business on October 14, 2022.

What You Will Do:

• Work on developing and implementing neural networks for event reconstruction and anomaly detection with the ATLAS data.

• Utilize the Perlmutter supercomputer for large-scale machine learning training and inference.

• Conduct original research independently and in collaboration.

• Interact with investigators at LBNL and other institutes working on similar or related scientific problems.

• Exercise independent judgment and contribute in an original manner at the professional level.

• Prepare research papers for publication.

• Present research findings at seminars and conferences.

Additional Responsibilities as needed:

• May mentor undergraduate and graduate students.

• Other duties as assigned.

What is Required:

• Ph.D. (or equivalent degree) in physics or related field.

• Ability to communicate effectively, and to contribute to a large software project.

• Demonstrated ability to perform research individually and as part of a research group.

• Relevant publication record and demonstration of proficient written and oral presentation of scientific results.

Desired Qualifications:

• Experience with machine learning frameworks such as TensorFlow and PyTorch, high performance computing environments, and any other statistical learning tools and theory.

How To Apply:

The following requested application materials listed below must be submitted through Academic Jobs Online:

1. Curriculum vitae.

2. A list of up to ten relevant publications, including contributions for multi-author publications.

3. A statement describing current and future research interests (3-page limit excluding figures and references).

4. A statement describing past activities and future interests in diversity, outreach and leadership (1 page maximum).

5. Arrange to have 3 letters of reference submitted (at least one reference from outside LBNL/UC Berkeley).

• This is a full-time, 3 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 2 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.

• This position is represented by a union for collective bargaining purposes.

• Salary will be predetermined based on postdoctoral step rates.

• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.

• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.

Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof that vaccination requirements have been met or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.

Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

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