Research Intern Positions

Inception Institute of AI
Abu Dhabi, UAE
Job Type: 
Full Time
Closing Date: 
Friday, February 15, 2019

Multiple research positions are available to work at the intersection of Deep Learning and Medical Imaging. Prior coursework and experience in Deep/Machine Learning, Medical Imaging, or Computer Vision is required. Excellent programming skills in Python and comfort in reading and working with mathematics in machine learning literature are key requirements. We work closely with interns with the goal of publishing at top conferences and journals. Students who have strong understanding of generative modeling, image embeddings, bayesian analysis are particularly encouraged to apply. Experience in working with and an understanding of MRI and CT images will be a plus.

The internship is fully paid, including air tickets, accommodation, and a competitive monthly salary. Interns will have access to world-class compute infrastructure. The internships are at least 4-6 months long, with preference for interns who can commit for 6 months or more. For shorter internships, prior experience in our areas of interest and excellent programming skills will be necessary. The internships could convert to full time positions depending on the intern's performance.


APPLICATION: Please send all of the following material by email to Shadab Khan (skhan.shadab [at] gmail).

  1. CV
  2. Any prior papers or project reports that outline your experience (if available)
  3. If you have a GitHub profile, please include a link or upload code samples, that best demonstrate your coding abilities, to dropbox or google drive and include a link.

Please feel free to include anything else that you feel is relevant. We realize no one is an expert at everything and any shortcoming in one area can be compensated by a strong expertise in another.


ABOUT IIAI: IIAI is a new research institute in Abu Dhabi, UAE. Interns will benefit from an international, collegial work environment and abundance of availability of experts (>40 scientists and increasing) in pretty much all areas of computer vision. More details: