Scientific Engineering Associate

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

In this exciting role, you'll be at the forefront of groundbreaking research, working closely with top-tier physicists, engineers, and the renowned Computational Cosmology Center. As a Scientific Engineering Associate (SEA), you'll play a key role in developing and implementing data analysis pipelines and cosmological simulations for both ongoing and future Cosmic Microwave Background (CMB) observations.

You'll have the opportunity to directly contribute to cutting-edge data analyses, including identifying, localizing, and subtracting astrophysical foreground emissions from CMB observations. Plus, you’ll collaborate with experts to build advanced models of multicomponent sky emission in the microwave wavelength range, using High Performance Computing to tackle these challenges on a large scale.

With the support of a collaborative and dynamic team, you'll apply your problem-solving skills to tackle complex technical challenges, ensuring your research outcomes are reproducible, well-documented, and contribute to the advancement of scientific knowledge. This is your chance to make meaningful contributions in a fast-paced, high-impact environment.

What You Will Do:

• Perform scientific data analysis using the scientific python stack.
• Provide technical support for investigation and development of timestream and image analysis for the production of well characterized maps of CMB and astrophysical foreground emissions while exercising judgment within defined procedures and practices to determine appropriate action.
• Participate in the software development and integration of multi-frequency observations. This will include managing software installation, experimental testing and evaluation, and system design and refinement.
• Develop, implement, and optimize advanced data analyses. This will include multi-instrument data fusion, implementation and optimization of either real-time or large-scale offline processing.
• Perform research and development following best practices, ensuring reproducible and well documented results.
• Interact with CMB-S4 project and science working group to assist them with simulations and forecasting in preparation of CMB-S4 scientific analyses, with optimized use of additional external data sets.

Additional Responsibilities as needed:

• Contribute to papers, reports, and proposals and make oral presentations of original work.

What is Required:

• Bachelor’s degree and/or equivalent experience in physics, astrophysics, computer science, data science, physics, or applied physics.
• Experience with python and/or C++ for scientific data analysis.
• Experience with collaborative software development with git.
• Ability to work effectively with staff at all levels with the Physics Division.
• Excellent written and verbal communications skills to interact with scientific investigators, administrators, management and technical staff.
• Demonstrated data analysis skills and proficiency in Python.
• Experience in large-scale parallel computing.
• Demonstrated ability to perform research individually and as part of a group.
• Excellent organizational and planning skills.

Desired Qualifications:

• Experience with scientific libraries in python.
• Experience with computer vision techniques and image processing.
• Experience performing algorithm development, signal processing, or statistical analysis.
• Familiarity with several programming languages and Linux.
• Interest and experience in signal processing, image processing, machine learning.

Notes:

• For full consideration, please apply by April 9, 2025.
• This is a full time 1 year, term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.
• This position is expected to pay $82,728.00-$103,440.00, which fits within the full salary range of $82,728.00-$139,644.00 for the N50.1. Salary for this position will be commensurate with the final candidate’s qualification and experience, including skills, knowledge, relevant education, certifications, and aligned with the internal peer group.
• As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.
• 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.

Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov

Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. In support of our rich 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.