Adín Ramírez Rivera
Adín Ramírez Rivera

Adín Ramírez Rivera

It is a mistake to think you can solve any major problem just with potatoes. -- Douglas Adams, THGG

Are you interested in conducting research in computer vision and machine learning? Do you want to develop algorithms that enable machines to perceive and understand the world? Are you curious about how such algorithms work? If so, you may be a good fit for our group. Please read on.

No current vacancies—only open calls

We do not have any unadvertised PhD positions; all positions are posted on Jobbnorge. If you require funding and are interested in working with me and my group, please monitor the open calls.

If you already have funding, see the options below.

Options for visiting

If you are a PhD candidate or a postdoctoral researcher with your own funding and are interested in visiting the group, please email me with the subject line “Looking for visit: Your Name Here” (use this exact phrase replacing “Your Name Here” with your actual name). Include:

  • A brief description of your research
  • Your reasons for the visit
  • A tentative timeline
  • Your academic CV (as an attachment)

Due to the volume of emails, I may not be able to respond to messages that are not a good fit for our group. However, I will contact every candidate whose interests align with our research.

Options for advising

If you are seeking an advisor and you have your own funding, first ensure that you comply with all requirements and regulations from UiO. If so, email me with the subject line “Looking for advisor: Your Name Here” (use this exact phrase replacing “Your Name Here” with your actual name). Include:

  • A brief description of your background and experience
  • Your reasons for requesting me as an advisor
  • A brief description of your funding source(s)
  • Your academic CV (as an attachment)

Due to the volume of emails, I may not be able to respond to messages that are not a good fit for our group. However, I will contact every candidate whose interests align with our research.

What do we require?

  • A degree in Artificial Intelligence, Computer Science, Mathematics, Statistics, or a closely related field
  • A strong background in mathematics and statistics; experience in computer vision or machine learning is desirable
  • Excellent programming skills; experience with Python or C/C++ and modern deep learning toolkits is desirable
  • A strong academic record and an eagerness to learn and tackle challenging scientific problems
  • Fluency in English, spoken and written