Applications are currently invited from interested and eligible candidates to join the 2022 IBM Research Internship in South Africans open to PhD & MSc students in relevant disciplines. Join a team that is dedicated to applying science to some of today’s most complex challenges. –
With the IBM Research Africa internship initiative, we are reaching out to outstanding young research talent in South Africa and invite qualified masters and doctoral students to apply for a 6 to 12-month internship position at the IBM Research lab in South Africa and take up this opportunity to work at a world-class research lab on some of the grand challenges and pressing problems that we are facing today.
Program Type: Student/graduate Internship
Program Location: South Africa
Program Duration: 6 – 12 months
Available Slots: Not specified
Basic Qualifications: Graduate Students
Nationality: South Africans
IBM Research Internship for South Africans | What to Expect
- The ideal candidates should have an applied knowledge in some of the following fields: data science, cloud computing, artificial intelligence, Internet of things, computer vision, software engineering, applied physics and statistics.
- Successful candidates will develop and deploy proof of concept technologies and algorithms for the projects they are assigned to.
- The candidate will be expected to demonstrate the ability to define research questions, formulate hypothesis, and develop and demonstrate innovative solutions using cutting edge technologies.
- Furthermore, the candidate will be expected to collaborate extensively with internal and external teams.
The internship is open to any recognized MSc, MEng or PhD candidate working in the following areas at the time of application: Computational Biology; Computer Science; Data Science; Electrical, Electronic or Computer Engineering; Genomics; Industrial Engineering; Physics; Service Science; Statistics. Required Technical and/or Professional Expertise include;
- Be a South African Citizen.
- Member of designated groups as defined in the Employment Equity Act.
- Registered at a recognised university in one of the aforementioned fields of study.
- Demonstrable academic research proficiency based on the scientific method.
- Working knowledge of popular and current machine learning methods and implementation techniques.
- Experience in application programming notably for mobile and web-based applications, development of web APIs, and user experience design for a variety of platforms.
- The candidate should be comfortable applying their knowledge and expertise in different domains and partnering with domain experts.
Experience with deep learning, signal and image processing, and computational mathematics will be advantageous.
How to Apply
Interested and eligible candidates should: click here to apply.