Research Assistant in Computer Science
The Research Assistant will develop and validate deep learning techniques to automatically segment activities within videos of cataract surgery. This will involve developing and evaluating multiple approaches and validating in at least two data sets. In addition to the algorithms, deliverables include adequately annotated code, preferably using Python, and related documentation. Publishing and/or presenting findings at a scientific venue is expected. Work timings are flexible but 20 hours per week is expected, which includes a weekly meeting with the supervisor.
- Bachelor's degree in related discipline.
- Some related experience.
- Additional education may substitute for required experience and additional related experience may substitute for required education, to the extent permitted by the JHU equivalency formula.
- Master’s degree in Computer Science with coursework in deep learning or an undergraduate degree with training and/or experience developing and evaluating deep learning algorithms using video data strongly preferred.
Special Knowledge, Skills & Abilities:
- Experience working with surgical videos is a plus.
- Proficiency with Python is necessary, experience working with a compute cluster, and ability to independently work towards the deliverables.
Expected duration of role:
- 3 months from the start date
Starting Salary Range: $16.10 to $22.12 per hour
Employee group: Casual / On Call
Exempt Status: Non-Exempt
Location: 01-MD:Homewood Campus
Department name: 10001488-Department of Computer Science
Personnel area: Whiting School of Engineering
The successful candidate(s) for this position will be subject to a pre-employment background check.
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