Computational Career-Track Research Scientist

Computational Career-Track Research Scientist

💼 AM-Applied Mathematics and Computational Research

105833

The Scalable Solvers Group in the Applied Mathematics and Computational Research Division at Lawrence Berkeley National Laboratory (LBNL) is seeking a Computational Career-Track Research Scientist.

The successful candidate will engage in the group’s research and development (R&D) activities in high-performance computing (HPC) and contribute in setting research agendas, with a focus on sparse linear and tensor algebra, randomized algorithms and quantum algorithms. Additionally, the role involves applying these algorithms to modeling and simulation of physical systems, incorporating uncertainty quantification and AI/ML techniques for scientific disciplines.

You will:

• Contribute to the design and integration of advanced algorithms in one or more of the following areas, with opportunities to take on increasing responsibility over time:
• Solvers and preconditioners for sparse structured linear systems
• Solvers and preconditioners for sparse structured linear and nonlinear eigen systems
• Bayesian statistical methods, leading to robust and scalable UQ methods
• Linear algebra and tensor algorithms for quantum computing
• AI/ML algorithms for HPC code development
• Novel algorithms for advancing AI/ML methodology
• Assist with code optimization and integration into Department of Energy (DOE’s) applications running on the exascale computer systems with GPU accelerators

We are looking for:

• PhD or equivalent experience in applied mathematics, computer science, or a related field
• Proficiency in more than one computer programming language, such as Python, C/C++, CUDA, Fortran
• Knowledge of complexity and performance analysis and advanced data structures
• Knowledge of sparse matrix techniques
• Knowledge of methods for solving linear systems and eigenvalue problems
• Experience of MPI, OpenMP, and other parallel programming models
• Understanding of quantum many-body problem and tensor eigenvalue problem
• Excellent oral and written communication skills
• Ability to conduct independent research
• Ability to collaborate effectively with a multidisciplinary research team

Desired

Qualifications:

• Postdoctoral experience in a relevant field
• Experience in programming massively parallel computer platforms

We’re here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes!

We invest in our employees by offering a total rewards package you can count on:

• Exceptional health and retirement benefits, including pension or 401K-style plans
• A culture where you’ll belong - we are invested in our teams!
• In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown every year.
• Parental bonding leave (for both mothers and fathers)

Additional information:

• Application date: Priority consideration will be given to candidates who apply by February 12, 2026. Applications will be accepted until the job posting is removed.
• Appointment type: This is a full-time, 2 year, career-track term appointment that may be renewed to a maximum of five years and that may be converted to career based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.
• Salary range: The expected salary for this position is $126,324 - $176,832, which fits into the full salary of $94,740 - $227,376 depending upon the candidate’s skills, knowledge, and abilities. This includes education, certifications, and years of experience.
• Background check: This position is 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 modality: Work may be performed on-site, hybrid, The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States. A REAL  other acceptable form of…