Last updated: 04/01/2018
Research Staff and Post Docs.
The Duke Applied Machine Learning lab is always interested in hiring new research staff in the form of Postdoctoral researchers or Research scientists. If you are interested in working with us, please contact Dr. Leslie Collins.
We generally look for Ph.D. applicants with electrical engineering, statistics, or similar undergraduate experience. Our research involves becoming intimately familiar with a physical sensor and applying/developing machine learning techniques to improve the performance of that device. Please look to the ECE Department resources for information about the application process and don't hesitate to contact us (except Jordan) with any questions.
If you are an undergraduate or masters student at Duke in the Pratt School of Engineering there are many opportunities to get research experience with our lab. These experiences include independent study, work study, masters project, masters thesis, etc. Please look below for who to contact based on your interested research area.
----- Topics of research -----
- Deep learning applied to remote sensing data (e.g., aerial and satellite data, such as color imagery and Lidar)
- Landmine detection (a variety of sensor data available - U.S. citizens only)
- General topics in machine learning
---- Before emailing me, please follow these three steps ----
1) Read all of the information below - if you do not fit in one of the categories, please do not email me
2) Please put "[prospective student - I read your website]" in the subject line of your email
3) Please attach a CV, any university-level transcripts you have, and test scores
---- Categories and criteria for admission under Jordan ----
International or non-Duke applicants: (i) you have all the funding you need to work here, and (ii) you will work full-time when you come, and (iii) you can stay in the lab for at least 2.5 months.
Master's students: I am only currently accepting students that are (i) admitted Duke students, (ii) in their first year of masters studies and (iii) willing to commit 2+ semesters to research, (iiii) and at least 15 hours/week to research. Motivated and hard-workding students can usually expect (a) excellent training in applied data science and machine learning, (b) one or more scholarly publications, and (c) a strong recommendation letter - all very important for graduate studies.
Undergraduates: I am only currently accepting (i) admitted Duke students that are (ii) US citizens, (iii) rising juniors or seniors, (iv) US citizens, and (v) capable of committing 2+ semesters to research. Motivated and hardworkding students can usually expect (a) excellent training in applied data science, (b) a scholarly publication, and (c) a strong recommendation letter - all very important for graduate studies.
For other research areas contact Dr. Leslie Collins