Postdoctoral fellow positions at Stanford Mineral-X: ML/GEO
Stanford Mineral-X is offering postdoctoral fellow positions within the Department of Earth & Planetary Sciences at Stanford University. Postdoctoral researchers will be developing data scientific and machine learning approaches for accelerating (critical) mineral exploration and discovery. One goal is to redefine the traditional knowledge-based geological interpretation process, particularly at the regional scale, by harnessing state-of-the-art machine learning and AI techniques. The machine-generated interpretations will rigorously adhere to geological principles, just as the outcomes typically obtained through expert knowledge-based approaches. The research will use extensive geophysical, geochemical, and geological data from real-world field cases. The postdoc will collaborate closely with both academic and industrial research partners at Mineral-X.
Qualifications
We are seeking qualified candidates who are motivated to promote the critical raw materials exploration for the global energy transition. A successful candidate should have the following:
Demonstrated skills in using data scientific/machine learning techniques involving spatial, and/or multi-variate data.
Demonstrated programming skills in Python or similar languages (e.g. Julia), and familiar with 1-2 industrial geospatial tools (e.g. LeapFrog, ArcGIS, QGIS, or others).
Being a quick learner with demonstrated collaborative skills to work in high-energy interdisciplinary teams, and having proven presentation and writing skills are essential.
Excellent communication skills and industrial collaboration experiences are desired.
Completion of Ph.D. degree within the last three years and no later than January 1, 2024 (we cannot consider candidates who are defending in 2024).
Evaluation Criteria
Ph.D. in geosciences, geological engineering, geostatistics, geophysics, geochemistry, mining engineering, Earth and environmental sciences, computer science, or related subjects.
Research excellence in related areas as demonstrated through publications.
Quality of research papers (1-2 sample papers) – either published or working papers.
Experience with real, large datasets, and data wrangling.
How to apply
For full consideration, send a complete application in a single PDF to Prof. Jef Caers (jcaers@stanford.edu) and copy to Dr. David Zhen Yin (yinzhen@stanford.edu) with the subject line: “Mineral-X ML/GEO Postdoc Fellowship”. Complete applications will include:
Cover letter explaining your interest in becoming a postdoc with the respective research at Mineral-X (500 words max).
Curriculum Vitae (CV)
Description of your dissertation research and broader research agenda (1 page)
One representative writing sample (published or unpublished)
List of three reference contacts
Application deadline: December 20, 2023
Mineral-X offers competitive postdoctoral salaries, plus sponsored travels for international conferences and meetings. In addition, the fellowship provides certain medical, dental, vision, and life insurance coverage through Stanford's benefits provisions for postdoctoral scholars.
Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.
