At Atomionics, we build quantum gravimeters that are set to revolutionize the resource exploration industry.
We are looking for a motivated intern with experience in time-series machine learning to contribute to the development of our high-performance sensors.
Responsibilities
Design and implement a machine learning model to map time-series data from support sensors to our quantum gravimeter data.
Evaluate model performance on both synthetic and experimental datasets.
Work closely with our multidisciplinary team to validate results and address challenges such as limited data coverage or overfitting.
Visualise the performance of the model as well as intermediate outputs.
Qualifications
Education background physics, engineering, or data science is highly desirable.
Hands on experience with neural networks applicable to time-series data
Strong Python programming skills: NumPy, SciPy, pandas, visualization packages
Proficient with ML libraries such as PyTorch/TensorFlow/Keras, etc.
Familiar with signal processing basics: Fourier transform, windowing, filtering
Analytical mindset
What can we offer you