The posting
About the company:
In the coming decades, demand for critical minerals such as copper, lithium, and cobalt will continue to grow. These minerals are needed to build electric infrastructure, vehicles, data centers, and electronics. However, the mining industry is making 10x fewer discoveries per dollar spent on exploration compared to 30 years ago because the easy-to-find, near surface deposits have largely been discovered.
KoBold was founded to be the first AI native mineral exploration, mine development, and technology development company. Our goal is to turn mineral exploration into a repeatable science to discover the minerals the world needs—by integrating artificial intelligence, human intelligence, and new technology. Our multidisciplinary teams of data scientists, engineers, and geologists work together to build data systems, design new sensors, and establish industry-leading workflows to develop and test subsurface predictions on our exploration projects.
Our first discovery, Mingomba, is a high-grade copper deposit in Zambia, found after spending materially less than industry average. We are developing Mingomba with the same technical rigor that we apply to exploration. The Mingomba team brings together mine and processing engineers, geologists, data scientists, software engineers, and community, health & safety, construction, and operations specialists. By combining industry knowledge and cutting edge technology, we are developing Mingomba into a world class project that has safer and more predictable outcomes for ourselves, partners, and communities. It is expected to create thousands of good jobs for generations.
KoBold runs exploration programs in eight countries, all with the potential for another discovery.
KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and strategic natural resources companies BHP and Mitsubishi.
About the position
In this role, you will generate targets, and design and oversee field programs from target definition through to resource expansion. You will be part of a multidisciplinary team and will work closely with data scientists, using KoBold’s technology to help guide our field programs and decision-making. You will also work directly with our senior technical advisors and with the executive team on making the investment case for acquisitions and field programs.
Ultimately, your role is to help KoBold make valuable discoveries by identifying opportunities with rigorous evaluation and by ensuring that we safely and effectively conduct our field programs.
Responsibilities
- Demonstrate in all activities a commitment to the highest standards in health and safety, environment, and community relations.
- Rigorously collect and analyze geoscientific datasets across a range of scales from provinces to prospects to determine exploration potential and to identify, rank, and prioritize exploration targets.
- Design, budget, permit, and execute field programs ranging from geological mapping and sampling of grass roots prospects through to large drilling programs on advanced projects, with leading industry practice in data acquisition and validation.
- Provide technical guidance and supervision for teams of field technicians during project execution.
- Work collaboratively with data scientist colleagues to conceive and implement insightful analytical methods.
- Assist in local community engagement and stakeholder communications.
Qualifications
- Strong technical knowledge of one or more ore deposit types. Experience working on sediment-hosted stratiform copper, magmatic sulfide, or lithium deposits will be considered an advantage
- Good field skills and experience conducting field programs across a range of project stages from grassroots prospects through to advanced projects with significant drilling campaigns. Experience in early-stage soil sampling and drill programs will be highly regarded.
- Baseline level of proficiency in standard desktop software packages (e.g., ArcGIS or QGIS).
- Strong leadership skills including the ability to motivate and inspire others, to share ownership and responsibility for project outcomes, and to work effectively in collaborative, interdisciplinary teams.
- Previous experience in coaching and training geoscientists of varying experience, educational backgrounds and cultures in leading-practice mineral exploration.
- Demonstrated commitment to high standards of health and safety in the workplace.
- A minimum of 3-7 years experience in the mineral exploration industry.
- Fluent in English and residency within Zambia
- A valid driver’s license
It is helpful but not required to have:
- Working knowledge of one programming or scripting language (e.g., Python, R, C/C++)
- Knowledge of geostatistics and/or other statistical methods relevant for analysis of geoscientific data
- Experience across more than one mineral system, particularly if that includes mineralization within pegmatite-hosted mineral systems, sediment-hosted stratiform copper or magmatic sulfide deposits
- Experience in generative analysis ranging from new concepts to integration, interpretation, and modeling of large datasets.
It is preferred but not required to have:
- Exposure to GIS and 3D modeling software, such as QGIS/ArcGIS, Leapfrog, Python, and/or ioGAS
We are committed to equal employment opportunities for all people.
This position is a full-time contract role.
Location: Zambia - Livingstone, Lusaka, or Copperbelt Province preferred. All candidates must be legally authorized to live and work within Zambia.
At this time we are only accepting applications from Zambian nationals.
Please submit your application to: https://job-boards.greenhouse.io/zambold
What to Expect
Joining KoBold means getting the opportunity for hands-on exposure to our exploration projects around the world. All employees are expected to travel to project sites, with a minimum of one week per year. Field-facing and technical roles spend significantly more time in the field.
