About Us:
GeologicAI is a fast-growing technology company developing and deploying exciting new technologies for the energy and mining sectors. We build innovative geological robots that scan rocks, train AI to analyze the scan data, and make groundbreaking software that makes all our results incredibly useful for finding and extracting natural resources. We are well-funded, growing rapidly, and looking for amazing people to join our team.
What You'll Do:
As a Research Scientist at Enersoft, you will support scientific research and analysis by developing software and systems that enable data processing, analysis, and visualization. You will collaborate with several teams and disciplines to reach valuable solutions to existing and visionary products and ideas. Strong technical skills in research, software development, data management, and algorithm development, as well as strong communication and collaboration skills to work effectively with other members of the scientific team are a must.
Domain knowledge:
- Familiar with LiDAR point cloud data format and processing
- Familiar with image and point cloud data processing theories and practices such as denoising, registration, segmentation, object detection, pattern recognitions, etc
- familiar with statistical analysis tools and techniques such as linear regression, clustering, factor analysis, time-series analysis, Bayesian inference, feature extraction, objection detection, classification.
- able to develop and optimize advanced algorithms for scientific analysis, including data processing, statistical analysis, computer vision, dimension reduction, etc.
Software Development skills:
- Developing and maintaining software tools, applications, and systems that support scientific research and analysis using Python and other programming languages when needed. The ideal candidate should have a strong understanding of software development frameworks, algorithms, and problem-solving.
- Testing and debugging software applications to ensure that they function as intended.
- Documenting software requirements, design, and code, as well as developing user manuals and technical documentation, such as usingJIRA and Confluence to track software development progress and document technical manuals and reports respectively.
Good to have:
- Knowledge of classic computer vision techniques, advanced digital signal processing, such as image processing to utilize image’s color, texture, shape features, image classification and clustering, endmember analysis, etc.
- Advanced interpretation and modeling skills, clear understanding of multivariate and spatial associations and data bases and how to model and interpret them to reach answers or prove/disprove hypotheses.
- skillful in re-implementing open-source projects or recent publications to prototype methods with specified data to test feasibility of new algorithms.
- Knowledge and understanding of principles about sensors: frame DSLR cameras, laser scanner, hyperspectral scanner in VNIR and SWIR, spectrometer, XRF, and XRD.
- Knowledge of geology, mineralogy, and petrology.
- Excellent communication skills, both written and verbal, with the ability to adapt your style and tone to different audiences and situations
- Strong team cooperation skills, with the ability to collaborate, support, and motivate others, as well as resolve conflicts and give constructive feedback
Primary Initial Tasks:
- Standardize the current sensor data acquisition QC workflow.
- Assist senior developers in building automated QC
- Develop algorithms for sensor calibration,
- Develop algorithms for light field study
- Assist develop algorithms in our new product line, such as image texture, lidar RQD, alteration, etc
What You'll Love About Us:
We're a fast-growing well-funded company working on interesting products that are making difference to the world. Our products and services are helping find the hydrocarbons that power our world today, and the metals and minerals required for the energy transition of tomorrow.