Opportunities
Thank you for your interest in joining our research group. At this time, we are not recruiting graduate students or postdoctoral researchers. New opportunities depend on the availability of research funding, and this page will be updated when positions become available. The information below outlines the general requirements and expectations for prospective lab members.
General Requirements for Lab Members
Our lab works at the intersection of geophysics, computation, and Earth systems, with a strong focus on electromagnetic (EM) methods, inverse problems, high-performance computing (HPC), and open science. While specific expectations may vary by position, the following provides a general overview.
Academic Background
Prospective members typically have training in one or more of the following areas:
- Geophysics, geology, geoscience, or Earth science
- Physics, applied mathematics, engineering, computer science, or a closely related field
Applicants from interdisciplinary backgrounds are welcome, provided they demonstrate strong quantitative preparation and interest in subsurface imaging.
Domain Knowledge (Preferred, Not Required)
Background or experience in one or more of the following domains is preferred but not required:
- Mineral deposits and mineral exploration, including massive sulfides, nickel–copper systems, or other critical mineral settings
- Groundwater and hydrogeology, including aquifer systems, recharge processes, or water–rock interactions
Applicants without prior domain-specific experience are strongly encouraged to apply if they have solid computational or quantitative skills and a willingness to learn new application areas.
Technical Skills
Experience in some (not necessarily all) of the following is expected:
- A solid foundation in mathematics and physics relevant to geophysical methods
- Programming skills, particularly in Python
- Familiarity with numerical methods, signal processing, or inverse problems
- Exposure to high-performance computing, such as:
- Parallel computing (MPI, multiprocessing, or distributed workflows)
- Working on HPC clusters (job schedulers, batch scripts, resource allocation)
- Performance-aware computing for large-scale simulations and inversions
- Experience working with geophysical data (e.g., EM, DC/IP, magnetics, gravity, or seismic) is an asset
A willingness to develop HPC skills and to work with large, computationally intensive problems is essential.
Research Mindset
Successful lab members are typically:
- Curious about how physical processes in the subsurface can be inferred from data
- Comfortable working with complex, noisy, and large datasets
- Interested in scaling algorithms from small test problems to large, real-world systems
- Able to work independently while contributing effectively to collaborative projects
- Interested in reproducible research, open-source software, and transparent workflows
Communication and Collaboration
Lab members are expected to:
- Communicate scientific ideas clearly in writing and presentations
- Engage actively in group discussions and collaborative research
- Contribute to an inclusive, respectful, and supportive research environment
English proficiency sufficient for academic research and communication is required.
Alignment with Lab Values
Our lab values:
- Scientific rigor and intellectual honesty
- Open science and community contribution
- Mentorship, inclusivity, and mutual respect
- Responsible and ethical research practices
Motivation, reliability, and genuine curiosity are valued as highly as prior experience.
Notes
Specific position requirements (MSc, PhD, or postdoctoral) and funding details will be provided when opportunities become available.
Please check back for updates.