Massachusetts Jobs

Nuclear Research Scientist for the Energy Transition

Location: Schlumberger-Doll Research (SDR), Cambridge MA, United States

Status: Full Time / Immediate

Job description:

Schlumberger-Doll Research (SDR) seeks a nuclear physicist with a passion for modeling to drive the Energy Transition. Nuclear measurements are among the most important techniques for characterization of the Earth’s subsurface. Building on many decades of expertise, SLB develops the hardware and algorithms that deliver in-situ measurements deep underground. Our technologies appear in all aspects of the ongoing Energy Transition – from CO2 Storage to Critical Minerals to safe abandonment of fossil fuels – and nuclear science is an essential part of the portfolio.

As a member of our multidisciplinary team, you will have a key role in developing new models and algorithms that use nuclear physics to solve real-world problems. You will provide the physical understanding and computing skills to take advantage of nuclear measurements within diverse datasets. This full-time Research Scientist position is embedded in the Geosciences department at SDR, where we combine expertise in geophysical, mathematical, computational, and engineering sciences. Our projects address the technical challenges and global market needs for the emerging sectors of Decarbonization and the Energy Transition. Extensive datasets and computing infrastructure are available on the premises and in the cloud. As a successful member of our team, you will work with experts locally and across the company to create nuclear models, extract new insights from nuclear measurements, and integrate your algorithms in commercial solutions.

Scientists are encouraged to publish research results, present work at conferences, and file for patent protection.

Minimum qualification & experience

• Ph.D. degree in Nuclear Engineering, Physics, or related fields, with courses and preferably thesis work related to modeling and analysis of nuclear data.

• Strong interest in physical simulations and interpretation of data. You thrive on the combination of science and computing to extract insights. Experience with MCNP or Geant is preferred.

• Fluency with programming languages such as Python, Matlab, C++, or similar. Experience with machine learning and data science is an advantage.

• Demonstrated problem-solving, organizational, and communication skills. You are enthusiastic and work well in a team of scientists and engineers.

• Authorization to reside and work in the US, with relocation to the Greater Boston/Cambridge area.

About Us

SLB is a global technology company that drives energy innovation for a balanced planet. Schlumberger-Doll Research (SDR) is its prime corporate research center, located in Cambridge MA adjacent to the MIT campus. SDR is home to more than 70 scientists working in fields including geophysical measurements, geosciences, emissions management, and decarbonization. We design, develop, and deliver new technology and services that transform how energy is accessed, sustainably. We are looking for innovators to join our diverse community to push the limits of what is possible.

How to apply:

To apply, candidates must complete the online application at apply.slb.com for Job ID 5152. Additionally, please email your résumé and a brief letter of intent to SDRJobs@slb.com and JMiles@slb.com. Ensure the subject line reads "GS Full-time."

Company policy is to provide every individual a fair and equal opportunity to seek employment and advancement at the Company without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, citizenship, genetic information, veteran or military status, disability, creed, ancestry, pregnancy (including pregnancy, childbirth and related medical conditions), marital status or any factors protected by federal, state, or local laws. We are an “Equal Opportunity Employer". For more information please, refer to the latest version of "Know Your Rights" poster and the "Pay Transparency Nondiscrimination Poster" located here: https://www.dol.gov/agencies/ofccp/posters. The Company is a VEVRAA Federal Contractor - priority referral Protected Veterans requested.