Lawrence Berkeley National Laboratory - Physics

508 20165
Position ID:LBNLPhysics-Physics-COMPPOSTDOC [#20165, 93908]
Position Title: Postdoctoral Fellow (Computational)
Position Type:Postdoctoral
Position Location:Berkeley, California 94720, United States [map] sort by distance
Subject Areas: Physics / surrogate models, simulation-based inference, Cosmology, High Energy Physics, Machine Learning
Appl Deadline:2021/11/30 11:59PMhelp popup finished (2021/10/20, finished 2022/06/04, listed until 2021/11/30)
Position Description:    

*** this position has been closed and new applications are no longer accepted. ***

Lawrence Berkeley National Lab’s (LBNL) Physics Division has an opening for a computational Postdoctoral Fellow position in Machine Learning for Particle Physics and Cosmology. 


In this exciting role, you will work with the Physics Division Machine Learning group in developing and deploying methods for optimally combining physics models and simulations with neural networks in order to perform optimal, high-dimensional inference.


The development involves both computational and domain-specific multidisciplinary work, including collaborations with scientists in other LBNL divisions and other institutions. Our current and planned work includes developing normalizing flows to replace Markov Chain Monte Carlo for Uncertainty Quantification, and for high-dimensional integration (for Bayesian evidence and scattering matrix element calculations).  We are also exploring other surrogate models for likelihood-free/simulation-based inference including innovative tools from probabilistic programming.


The posting shall remain open until the position is filled, however for full consideration, please apply by close of business on November 30, 2021.


What You Will Do:


Additional Responsibilities as needed:


What is Required:


Desired Qualifications:


How To Apply:

 

For inquiries please contact Kelly Rushing (krushing@lbl.gov). For full consideration, please apply by close of business on November 30, 2021, but the position will remain open until filled.

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).


Notes:


Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program, Berkeley Lab strongly recommends that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of Physical Presence at a Berkeley Lab Location, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral.


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.


Know your rights, click here for the supplement: "Equal Employment Opportunity is the Law" and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4.

Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

Further Info:
https://www.lbl.gov/
email address