Opportunities

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.

Ph.D. Applicants

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.  

Undergraduate/Masters Students

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.

Dr. Jordan Malof
(Please read the information below before emailing me!) 

Master's students: I am only currently accepting students that are (i) in their first year of masters studies and (ii) willing to commit 2+ semesters to research, (iii) and at least 10 hours/week to research.  Motivated and hardworkding students can usually expect (i) excellent training in applied data science, (ii) one or more scholarly publications, and (iii) a strong recommendation letter - all very important for graduate studies.

Undergraduates: I am only currently accepting students that are (i) US citizens, (ii) in their junior year, (iii) US citizens, and (iv) capable of committing 2+ semesters to research.  Motivated and hardworkding students can usually expect (i) excellent training in applied data science, (ii) a scholarly publication, and (iii) a strong recommendation letter - all very important for graduate studies.    

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 

Dr. Boyla Mainsah

For other research areas contact Dr. Leslie Collins