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Research Scientist

SLB
At Schlumberger-Doll Research, we are using cutting-edge Robotics, AI, and measurement technology to develop advanced autonomous perception-based solutions that facilitate sustainable energy access while reducing emissions. Located in the heart of Boston’s vibrant technology ecosystem, Schlumberger Robotics and Sensors is focused on inventing, prototyping, and deploying solutions to ensure innovation gets rapidly into the hands of our customers — where it matters most. As a member of our multidisciplinary team, you will be a key part in creating an impressive breadth of technology solutions with a primary focus on developing new instruments for detecting and controlling fugitive methane emissions.

To help us fast-track the energy transition, we are seeking exceptional scientists and engineers ready to steer projects across a multidisciplinary technology landscape. Our ideal candidates are rigorous thinkers, fast-paced learners, and innate problem-solvers. But above all else, they are passionate about using technology to solve challenges once deemed “unsolvable.” You will contribute to intellectually stimulating projects spanning modeling and characterization of sensing performance, distributed and multi-modal sensor fusion, measurement development, cloud and edge algorithm development, system simulation, and real-world testing with exciting robots and sensors.

Qualifications

  • Graduate (MS or Ph.D.) degree in Robotics, Computer Science, Physics, Chemistry, Applied Mathematics, Engineering, or related fields.
  • Outstanding academic credentials and project experience in one or a combination of the following domains:
  • Sensor fusion, system integration and engineering, multi-scale measurement assimilation, physics-informed neural networks, remote sensing, distributed sensor networks, optimal path planning based on measurement’s value
  • Comfortable with developing protocols, acquiring data, and analyzing results from experimental trials.
  • Proficiency with a programming language (such as Python, C++, Matlab, R, or similar languages).
  • Excellent problem-solving, organizational, and communication skills.