Halliburton invites qualified candidates to apply for a senior/principal scientist role with the Signal Processing Center of Excellence (COE) in Singapore. We are looking for the right people — people who want to innovate, achieve, grow, and lead. Experience the challenges, rewards, and opportunities of working for one of the world’s largest providers of products and services to the global energy industry. This position provides an opportunity to participate in a strategic research and development program shaping the industry’s future technology. By solving challenging technical problems, you can have a rapid impact or a long-term benefit on a commercial market with significant revenue. Successful candidates are expected to perform original and relevant research and development to expand the group’s expertise and technology portfolio. The Signal Processing CoE at Halliburton encourages a culture of continued learning, inventing, and innovating by bringing together a diverse group of top-notch research scientists. We attract and retain the best talents by investing in our employees and empowering them to develop themselves and their careers. Our goal is to continuously grow the group’s core research expertise in the area of signal and imaging processing, telemetry, modeling and inversion, high-performance computing, and AI-assisted data analytics, to maximize the efficiency and values of the data, and to ensure the long-term success of Halliburton.
Responsibilities
· A subject matter expert in LWD Electromagnetic tool development, modeling, and inversion.
· Conducting research and development with the following tasks, including:
• Sensitivity studies using numerical modeling codes for tool development, inversion studies
• ML algorithm to improve the inversion performance
• Numerical modeling studies using in-house or commercial modeling software.
· Detailed documentation from presentations, reports, and disclosures.
· Novel ideas to address a new or challenging issue and document in a disclosure.
· Develop creative/innovative solutions and new technology.
· Serve as a mentor to junior technical staff personnel.
· Communicate issues, progress, and proposed ideas to supervisors and project managers regularly.
Required Education and Skills
· A Ph.D. (or equivalent experience) from but not limited to physics, mechanical engineering, electrical/electronic engineering, or an appropriate combination of education and experience.
· 4+ years of experience as an academic or industrial technical contributor with established records.
· Proficiency in numerical analysis using MATLAB and Python. C/C++/C# is a plus.
· Proficient in inversion algorithms (including MCMC, deterministic inversion, etc.) is highly desirable.
· Extensive knowledge and experience of EM resistivity concepts are required:
o Experience in 1D, 2D, or 3D numerical modeling development
o Experience with numerical modeling methods including but not limited to FDTD, FEM, IE, etc.
o Knowledge of 3D modeling software including but not limited to CST, HFSS, COMSOL, etc.Experience in AI/machine learning is a plus.
· Knowledge of digital circuit design, mixed-signal circuit design, or signal conditioning design is a plus.
· Demonstrated teamwork, strong communication skills, and collaboration in complex projects.
**Candidates having qualifications that exceed job requirements will receive consideration for higher-level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs.
