PhD Graduate Research Scientist - Applied Mathematical Sciences | Schlumberger

Job Details

PhD Graduate Research Scientist - Applied Mathematical Sciences

Cambridge - United Kingdom

Job Description

We are seeking a talented, creative scientist to strengthen a multi-disciplinary team conducting applied research in the space of mathematical modelling, statistics, uncertainty quantification, optimization, and automated AI planning. The team is committed to deliver innovative platforms for advancing the automation of oilfield operations, which requires overcoming challenges in modelling and interpreting the behavior of nonlinear multi-physics environments, doing inference and optimization in high-dimensional systems with uncertainty, quantifying and handling uncertainty in decision-making, and discrete-mathematics reasoning for large operations decision-making.
We offer an environment to build a career that continuously broadens the Scientist’s mathematical skills through a diverse range of mathematically challenging applications and expect the Research Scientists to actively seek to grow and be flexible to learn. Successful Research Scientists are excellent verbal and written communicators and have the ability to work both independently and in a team.

Responsibilities

  • Conduct independent scientific research whilst collaborating with other scientists and experimentalists, under general supervision
  • Develop proof-of-concept solutions based on own innovative ideas to real-world oilfield problems, guided by a business value proposition
  • Monitor own area of scientific expertise and work to expand breadth of technical knowledge
  • Develop extensive relationships within the Schlumberger technical community, Universities and the Schlumberger business and engineering organizations
  • Publish research papers, internal technical reports and patents, and present your work
  • Learn about the oilfield domain

Qualifications

Currently has or is in the process of obtaining PhD degree in applied mathematics, computer science, statistics or related discipline

Competencies

  • Proficiency in algorithm development and working knowledge of programming languages, such as Matlab, Python, Java or C++
  • Comfortable tackling open-ended problems, with an innovative approach to problem solving
  • Interest in application to real-world problems
  • Strong teamwork and communication skills

Specialization in one or more of the following:

  • analytical and numerical modelling and solvers
  • discrete mathematics (e.g. combinatorics, graph theory)
  • automated AI planning (solver advancements and PDDL domain modelling)
  • optimization
  • probabilistic modelling and uncertainty quantification
  • statistical model inversion

The location:
Schlumberger Cambridge Research (SCR) is part of Schlumberger's global network of research and engineering centres.  SCR is a dynamic, high-tech environment with state-of-the-art research and computing facilities. SCR is currently developing new drilling systems with a high degree of autonomy and intelligence, which will change how the industry works.
Schlumberger Cambridge Research is a distinctive marquee-like structure dominating the High Cross site on the western outskirts of Cambridge, England. This spectacular building was completed in 1985 and the smaller second phase was opened in 1992. It has recently been classified as a Grade II listed building. Altogether, there are more than 930 m2; of laboratory space and offices for more than 100 scientists, technicians and domain experts.


Annual Salary Range: from £43,000 to £50,000 depending on qualifications level
Posting date: 26th of February 2020
Closing date: 30th of March 2020 
Estimated start date: Summer 2020 (flexible)
Company name: Schlumberger


Disclaimer: Schlumberger is an equal employment opportunity employer. Qualified applicants are considered without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law

PhD Graduate Research Scientist - Applied Mathematical Sciences
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