Thomas Adewumi University and Google Research present

QuintAfriq xPloreCSR: ML/RL Learning Capacity Building In Nigeria

Designed to deepen participants' understanding and engagement with Machine Learning (ML), and Reinforcement Learning (Robotics). It seeks to broaden participation in computer science research among undergraduates in Nigeria.

Machine Learning and Reinforcement Learning (Robotics) are the backbone of modern applications — similar to human learning. These advancements in machine learning and reinforcement learning have had profound impacts on various industries, showcasing the practical benefits of theoretical research.

This program seeks to improve diversity in Machine Learning & Reinforcemeent Learning (Robotics) research through a 4 days-long program of hands-on and research experience for undergraduate students in CS or related fields. If you enjoy learning about machines (or think you might!), this program gives you an opportunity to gain hands-on experience and learn about careers in research, how people navigate graduate school and the publication process, and give you a chance to work on a Machine Learning research project of your own at Thomas Adewumi University. Basic experience required!


About The Program

A 4 Days Artificial Intelligence Therapy (AIT) in Machine Learning/Reinforcement Learning (Robotics).

Who can apply: Current undergraduate students (including graduating seniors) from KU8 Universities in Kwara State.

Experience needed: Prospective attendee should have completed an introductory computer science course sequence. Coursework in computer Machine Learning is helpful, but not strictly required. No prior research experience necessary!

Research project: Participants will be paired with a faculty mentor who will help guide them during the evening session. There are multiple project options, depending on the experience level and time commitment of each student. These include literature reviews, project proposals, replications of prior work, apprenticeships with existing research projects at Thomas Adewumi University, or new independent research projects. The program culminates with participants presenting their work at the end of each cohort.

Time commitment: 4 Days Long

Stipend: Travel Grant Available for Selected Participant.


Tentative Program Schedule

Our program consists of Hands-On workshops, research project, Hackathons.

Day/Date Activity
April 14 Applications open
May 10 Applications close
June 10 Admission decisions announced
June 25 1st Cohort Program kick-off

How To Apply

To apply for the 2023-2024 program, fill out the online application form.
The application deadline is May 10, 2024Application Closed

FAQ

  • I am an undergraduate student in my 100/200/300/400 Level. Am I eligible to apply?
    Yes!
  • I am an undergraduate student in my final year; I will graduate in 2024. Am I eligible to apply?
    Yep!
  • I am an undergraduate student from [some university/college]. Am I eligible to apply?
    Yes! Since the program has 2 cohort and we welcome all applicants.
  • Is this program only for Thomas Adewumi University undergraduate students?
    No; students from other schools are very welcome.
  • I am a masters or PhD student. Am I eligible to apply?
    We're afraid not, no.
  • Are the applications first come, first serve?
    No. We will consider all applications received by the deadline (May 10, 2024) in one go.
  • How much detail should I put into the questions on the form, e.g., about research interests? Are you looking for a 'research statement'?
    Short and to the point, please! One or two paragraphs is fine. We're not looking for a research statement; we'd just like to be able to match you to the right people and projects.
  • I didn't receive a confirmation of my application. Can you confirm receipt?
    It almost certainly went through. If you're worried, submit another one! We'll pick up the latest submitted on May 5th. No need to email us for this one.

Contact Us.

Please contact Training & Strategy with any further questions about the program.