Undergraduate research assistant: Artificial neural network (Deep learning, AI) for computational systems neuroscience
[Research description==Qualifications]
– Goal: Document & refactor code for simple & flexible ANN experiments (Engineering & Science)
– Time commitment: 6+ hours/week
– Date & duration: Starting August 2024 for 1+ years
– Language: python (pytorch, numpy, pandas, sklearn, etc)
– Work style: Transparent & Concise
– Course of research:
1. Code library literature review
2. Code reading + documentation (Graphic & written)
3. Refactor code bases
[You get]
– Amazing end-to-end technical & conceptual skills for Science & Machine learning
– Practical technical skills: python virtual environment, adjusting computing platforms, IDE, git, python libraries (pytorch, numpy, pandas, sklearn, etc), drawing figures, presentation skills
– Conceptual skills: concise coding, computer architecture, ANN, machine learning research pipeline, computational neuroscience
– Supervisor acknowledged as the best coder throughout past labs
– Recommendation letter
– (Long horizon, 1+ year) Paper publication
[To apply]
Please fill out the following google form: https://docs.google.com/forms/d/e/1FAIpQLSfdKZyD2KxAAyXczqZuSrC03Gied9qHFt-NxCUTDiRR1zTbgA/viewform?usp=sf_link
We’ll keep this form open during summer and reach out for interviews late July-Early August.
[More information]
Hantman Lab: https://www.med.unc.edu/neuroscience/hantmanlab/
Jaesung Yoo: https://jaesung.tech.blog/