Vacancy: radon data analysis internship
We're pioneering the use of unmanned aerial vehicles (UAVs/drones) to measure NORMs across extensive regions. Our techniques enable on-site measurements of NORM concentrations, offering the flexibility to navigate challenging terrains. However, the challenge of aerial radon interference remains, which can lead to overestimated uranium concentrations. To address this, we've introduced the innovative 'Split-Detector' concept, which distinguishes gamma radiation based on its origin, allowing for the accurate correction of radon presence in aerial measurements. However, for the actual implementation of this detector design, a comprehensive study on the effectiveness of this detectors has to be performed.
The Role: We are looking for an intern to join our dynamic team to analyze over a year's worth of collected data on radon concentrations. You will continue the work of a previous master's research project. Your primary goal will be to develop a robust algorithm that can effectively resolve the issue of radon interference in our aerial measurement system.
- Analyze extensive datasets to understand the impact of aerial radon on uranium concentration measurements.
- Develop and refine an algorithm to correct for radon interference in data collected from UAV-deployed detectors.
- Collaborate with a team of experts to integrate the algorithm into our existing system for enhanced accuracy.
- Document findings and contribute to the continuous improvement of our measurement techniques.
- Currently enrolled in or a recent graduate of a degree in Physics, Computer Science, Engineering, or a related field.
- Strong analytical skills with an aptitude for problem-solving.
- Experience in data analysis and algorithm development.
- Proficiency in programming languages commonly used in scientific computing.
- Excellent communication and teamwork abilities.
What We Offer:
- A hands-on experience in a leading-edge technological environment.
- The opportunity to contribute to a groundbreaking project with real-world applications.
- Guidance and mentorship from industry experts.
- A chance to publish or present your findings in academic or professional settings.
How to Apply: Send your resume, a cover letter, and any relevant project samples or portfolios to firstname.lastname@example.org with the subject line "Internship Application - Data Analysis and Algorithm Development."