Research Aide - LCF - Rajaraman, Jyotsna - 2.25.26.
About The Position
This project advances the design of Local Shape Descriptor architectures to improve scalability and computational efficiency for large-scale connectomics workloads. In parallel, it develops robust preprocessing pipelines based on diffusion models tailored to electron microscopy and lattice light sheet microscopy data. The work targets efficient scaling on ALCF systems, with a focus on enabling high-throughput analysis of lattice light sheet datasets. Comprehensive evaluation will include cross-method metric comparisons and implementation of MCM to rigorously validate performance and accuracy.
Requirements
- The entirety of the appointment must be conducted within the United States.
- Applicants must be: o Currently enrolled in undergraduate or graduate studies at an accredited institution. o Graduated from an accredited institution within the past 3 months; or o Actively enrolled in a graduate program at an accredited institution.
- Must be 18 years or older at the time the appointment begins.
- Must possess a cumulative GPA of 3.0 on a 4.0 scale.
- If accepting an offer, candidates may be required to complete pre-employment drug testing based on appointment length. All students remain subject to applicable drug testing policies.
- Must complete a satisfactory background check.
Benefits
- comprehensive benefits are part of the total rewards package.
- Click here to view Argonne employee benefits!
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
