Applicants
The applicants for the 2021 Great Minds internships will receive feedback on their application by the end of February 2021.
Overview
The Great Minds initiative is a competition for 3 to 6-month internships at one of the IBM Research Labs in Zurich, Nairobi, or Johannesburg for students from central and eastern Europe, the Middle East and Africa. It provides students with the unique opportunity to work alongside world-class scientists in the leading industrial IT research organization.
The internships will take place in 2021. The exact starting time and duration will be agreed upon with the winning students individually, taking into account their academic commitments and the availability of IBM staff.
IBM will pay the winners a lump sum towards travel expenses as well as compensation that covers adequately the cost of living in Switzerland, Kenya, or South Africa, respectively. IBM will also obtain the necessary visa and work permits for the successful candidates.
IBM Research has been conducting the Great Minds internships for more than a decade. This program also benefits Universities when the Great Minds winners bring back a valuable understanding of real industry problems, knowledge of advanced IBM technologies, and contacts throughout IBM Research.
Eligibility
The program is open to any full-time student enrolled in a Master’s program with a focus on
- Artificial Intelligence / Machine Learning
- Applied Mathematics / Computer Science
- Engineering
- Life Sciences
- Chemistry oder Computational Chemistry
- Biology oder Computational Biology
- Neuromorphic Computing / Networks
at a recognized university in central or eastern Europe, the Middle East or Africa. The students must have a solid command of the English language in both written and spoken form.
IBM is an equal-opportunity employer and encourages applications from both genders as well as minority groups.
We would especially like to encourage qualified women to participate in this competition.
Application
Eligible students will be contacted by their faculty member directly. Application documents include a CV (with name, address, phone number, email address, and nationality) and a short video (approx 3 minutes) where you introduce yourself and explain which project you are applying for (you can apply for up to three projects, please use the project number that is visible under “projects”) . Your faculty member will inform you about the application process.
Deadline
The deadline for submissions is 15 December 2020.
For more information please open this link
https://www.zurich.ibm.com/greatminds/
Participating countries
Africa (all countries)
Albania
Armenia
Azerbaijan
Belarus
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Estonia
Georgia
Hungary
Jordan
Kazakhstan
Kosovo
Kuwait
Kyrgyzstan
Latvia
Lithuania
Lebanon
Moldova
Montenegro
North Macedonia
Oman
Pakistan
Poland
Qatar
Romania
Russia
Saudi Arabia
Serbia
Slovakia
Slovenia
Turkey
UAE
Ukraine
Uzbekistan
The program
At IBM Research, we have a longstanding and strong commitment to encourage and mentor the next generation of top research talents. Every year, our twelve research Labs around the world host many visiting academics, scientists and students in the belief that it takes broad collaboration of the brightest minds to create innovations that make the world work better.
With the Great Minds initiative, we want to reach out to outstanding young research talent in the countries of central and eastern Europe, the Middle East and Africa. We are inviting qualified students to apply for an internship at one of the IBM Research Laboratories in Zurich, Nairobi, or Johannesburg in 2021 and to take this opportunity to work at world-class industrial IT research centers.
Since launching this initiative in 2007, we have hosted nearly 100 students at our Laboratories for three to six-month internships. The experiences on both sides have been very positive. The winners gain insights into real industry challenges and get hands-on experience that should be valuable to their university and faculty. They bring back knowledge of IBM’s advanced technologies as well as contacts throughout IBM Research.
The competition is open to any full-time student enrolled in a Master’s program in Artificial Intelligence, Applied Mathematics, Computer Science, Electrical Engineering, Machine Learning, Life Sciences, Physics, Software Engineering or Service Science at the time of application. IBM is an equal-opportunity employer and encourages applications from any gender as well as minority groups. Students must have a solid command of both written and spoken English. Applicants must submit their current CV and a short video to their faculty.
An IBM committee will choose the winners at its discretion. The internships will start in 2021 on a mutually agreed date. IBM will pay the winners a travel allowance as well as compensation that covers adequately the cost of living in Switzerland, Kenya, or South Africa, respectively. IBM will also obtain the necessary visa and work permits for the successful candidates.
Thank you very much for participating. We intend to give the brightest students an opportunity that could significantly boost their future career prospects.
Yours sincerely,
Dr. Solomon Assefa
Director, IBM Research–Africa
Dr. Alessandro Curioni
Vice President, IBM Research Europe and Africa
Director, IBM Research–Zurich
Topics at the Africa Lab
in Johannesburg
| Ref. code Project description |
|---|
| SA‑2021‑01 Neurosymbolic AI (foundational AI towards natural language understanding)[ Project description | Close ] |
| SA‑2021‑02 Computational Genomics for TB Drug Resistance Profiling using AI[ Project description | Close ] |
| SA‑2021‑03 Quantum Computing[ Project description | Close ] |
| SA‑2021‑04 Applications of geospatial data analytics for climate risk assessment[ Project description | Close ] |
| SA‑2021‑05 Semantic Analysis of Text in African Languages[ Project description | Close ] |
| SA‑2021‑06 Clinical Natural Language Processing for Digital Pathology[ Project description | Close ] |
Topics at the Africa Lab
in Nairobi
| Ref. code Project description |
|---|
| K‑2021‑01 Detecting Imbalanced Randomizations in RCT Studies[ Project description | Close ] |
| K‑2021‑02 Bayesian Network Structure Learning Through Prediction Bias[ Project description | Close ] |
| K‑2021‑03 Dice-Scanner: Group-level, Black-box Model Explainability[ Project description | Close ] |
| K‑2021‑04 Subset Boosting Machines[ Project description | Close ] |
| K‑2021‑05 Automatically Identifying Heterogeneous Treatment Effects in RECOVERY: The World ’s Largest COVID19 Randomized Control Trial[ Project description | Close ] |
| K‑2021‑06 Deep Scanner: Masking Nodes for Higher Accuracy[ Project description | Close ] |
| K‑2021‑07 Deep Scanner: Mahalanobis Noise Induced Activation Changes (MANIAC)[ Project description | Close ] |
| K‑2021‑08 TTX: Learning from Models Putting Theory into Practice[ Project description | Close ] |
| K‑2021‑09 Novelty Sampling from GANs in settings with large and small datasets[ Project description | Close ] |
| K‑2021‑10 Cross-domain learning to address low-quality, small and multi-source challenges in tabular data[ Project description | Close ] |
| K‑2021‑11 Unsupervised learning of new class samples without/limited forgetting of previous classes[ Project description | Close ] |
| K‑2021‑12 Automatic bias evaluation in academic and/or legal documents[ Project description | Close ] |
| K‑2021‑13 Economics of climate change[ Project description | Close ] |
| K‑2021‑14 Supply chain resilience[ Project description | Close ] |
| K‑2021‑15 Lifecycle-aware supply chains[ Project description | Close ] |
| K‑2021‑16 Emission implications of traditional vs. e-commerce[ Project description | Close ] |
Topics at the Europe Lab
in Zurich
| Ref. code Project description |
|---|
| Z-2021-01 Blockchain[ Project description | Close ] |
| Z-2021-02 Automated Maintenance of a Security Vulnerability Database[ Project description | Close ] |
| Z-2021-03 Automating AI for Advanced Data-Driven Material Manufacturing[ Project description | Close ] |
| Z-2021-04 ML-enhanced search of transition states[ Project description | Close ] |
| Z-2021-05 Advanced Data-Driven Material Manufacturing[ Project description | Close ] |
| Z-2021-06 Extracting chemical information from the chemical literature[ Project description | Close ] |
| Z-2021-07 AI for Civil Engineering Applications[ Project description | Close ] |
| Z-2021-08 Development of Interpretable AI Methods for Computational Biology[ Project description | Close ] |
| Z-2021-09 Record Linkage[ Project description | Close ] |
| Z-2021-10 Explainability of Graph Convolutional Networks and Temporal Evolution of Graph Convolutional Network Models[ Project description | Close ] |
| Z-2021-11 Toward ML-based database tuning and optimization[ Project description | Close ] |
| Z-2021-12 Elastic Ephemeral Storage Services for Serverless Computing[ Project description | Close ] |
| Z-2021-13 Artificial General Intelligence: Lifelong Learning Challenge[ Project description | Close ] |
| Z-2021-14 Blockchain Core and Application Development[ Project description | Close ] |
| Z-2021-15 Deep learning incorporating biologically-inspired neural dynamics[ Project description | Close ] |
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