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Join the ADMiRAL network. We are always looking for driven nodes to expand our computing capacity.
:: Open Lab Positions
We are currently fully equipped and operating at maximum capacity.
Check back later or monitor our GitHub for upcoming research grants.
:: Student Research Projects
Level: PhD Student ALMA Telemetry Pipeline Optimization
Rewrite and optimize the bottleneck stages of our real-time ALMA RFI-flagging pipeline using C++ and CUDA.
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ALMA Telemetry Pipeline Optimization
Rewrite and optimize the bottleneck stages of our real-time ALMA RFI-flagging pipeline using C++ and CUDA.
As our data throughput from the ALMA array increases, our current Python-based flagging algorithms are hitting CPU bottlenecks. This project aims to translate the core tensor operations into C++ with CUDA acceleration.
The student will gain extensive experience in high-performance computing, memory management, and GPU programming in an astrophysical context.
Level: Undergrad / Magister Automated Pulsar Candidate Sifting
Develop a lightweight machine learning classifier to distinguish true pulsar signals from terrestrial noise in folded profile data.
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Automated Pulsar Candidate Sifting
Develop a lightweight machine learning classifier to distinguish true pulsar signals from terrestrial noise in folded profile data.
This project involves working with archived radio data to train a Convolutional Neural Network (CNN). The student will learn how to process standard filterbank files, generate diagnostic plots, and train a model capable of recognizing the visual signature of a dispersed pulsar pulse.
Basic knowledge of Python and Jupyter Notebooks is required.
