Geothermal Site, Taiyuan, China, 2024

Terravox has joined forces with Iceland-based Arctic Green Energy to further test the GEMS (Geothermal Exploration Management System) application in geothermal regions. This collaboration aims to significantly reduce exploration costs during geothermal field development by improving the success rate of well drilling in geothermal projects. The data from recent field surveys are currently being compared with existing well data to assess the effectiveness of GEMS and its potential to streamline geothermal exploration.

Gold License Tanzania

Kilombero – Buckreef Geita Gold Project is strategically positioned approximately 110 kilometers west of Mwanza, Tanzania’s second-largest city, and close to Lake Victoria, the world’s largest tropical lake. The geographical positioning of Kilombero – Buckreef Geita Gold Project offers logistical advantages, including proximity to key transport routes that connect the region to major urban centers and ports. Access to Kilombero – Buckreef Geita Gold Project is primarily through well-maintained rough roads that link the mining site to Geita Town, a central hub for the region’s mining activities. The area’s infrastructure has been significantly developed over the years, driven by the mining industry’s demands, making it relatively easier for companies to establish and operate mining ventures. 

Tanzania gold mine, Geita District, Tanzania, 2024

Our specialists conducted a research in Geita District of Tanzania to verify gold deposit, its size and determine drilling targets.

The use of GEMS made it possible to significantly reduce geological exploration time (from one year to two months) and confirm the presence of gold in the deposit

Kimberlite License Botswana

Region: Kweneng/Southern Districts, Botswana

Area Size: 500.64km2

Key Highlights: The license is located to the south-southeast of the Jwaneng Mine area and the town of Jwaneng. The area is accessed by the Gaborone-Kang tar road and tracks/cut lines from previous exploration. The selection of the licence locations was based on reviews which suggested potential alluvial and pipe deposits in these license areas; known kimberlite occurrences in the area are also of interest, technological advancements in mineral exploration technics and infrastructure give an advantage to reprocess and reinterpret historical data sets. The proximity of the prospect to the world’s largest diamond producing mines was also a major factor in selection of the claims.

Mathematician-Developer at TerraVox

Description:


TerraVox, a leader in geophysical exploration, is seeking an experienced Mathematician-Developer to support and develop AI-based programs used in the GEMS methodology. This is a unique opportunity to work at the intersection of cutting-edge AI technology and geophysical exploration, making significant contributions to the field.

Responsibilities:

  • Design, develop, and refine AI-based software programs utilized in the GEMS methodology for geophysical exploration.
  • Apply advanced mathematical and statistical techniques to improve the accuracy and efficiency of these AI models.
  • Develop new algorithms and optimize existing ones for geophysical data analysis and modeling.
  • Implement numerical methods and algorithmic models to solve complex problems related to geophysical exploration.
  • Implement and fine-tune machine learning and deep learning models using tools such as TensorFlow, PyTorch, or Keras.
  • Collaborate with data scientists and geophysicists to integrate machine learning solutions into geophysical research workflows.
  • Develop and implement methods for processing and analyzing big data sets, ensuring efficient data handling and storage.
  • Optimize algorithms for handling and analyzing large-scale geophysical data, improving speed and computational efficiency.

Qualifications:

  • Advanced degree in Mathematics, Physics, or Computer Science;
  • Strong background in statistics, numerical methods, and algorithmic modeling;
  • Proficiency in Python and scientific computing libraries (NumPy, SciPy, Matplotlib);
  • Knowledge of machine learning and deep learning tools such as TensorFlow, PyTorch, or Keras;
  • Understanding of big data processing and analysis principles;
  • Experience in geophysical research and modeling is a plus.

Benefits:

  • Competitive salary and performance bonuses.
  • Opportunities for professional development and continuous learning.
  • Health and wellness programs.
  • Flexible working hours and remote work options.