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The ideal candidate will be excited to work in a multidisciplinary team, consisting of ethnographers, computer scientists, human-computer interaction researchers, designers and engineers. They must have an appreciation for the value of working with deep qualitative research and delight in pushing the boundaries of their academic disciplines through cross-disciplinary partnerships.
If you are a researcher who is passionate about designing Globally Equitable Generative AI and understands the importance of multidisciplinary research, this might be the opportunity for you.
Qualifications
Required qualifications:
- Has completed a PhD in Machine Learning, Computer Science, or other related domain
- Has a minimum of 4 years work experience post PhD
- Strong theoretical and practical knowledge of machine learning algorithms, and the methods that underpin modern language and vision processing
- Strong practical knowledge in working with current deep-learning toolkits, particularly in language and/or vision, and in critically evaluating models.
- Proven research record including publications in top computer science and ML venues, such as including NeurIPS, ICML, ICLR, CVPR, ICCR, ECCV, EMNLP
- Passion for staying up to date with the latest advancements in AI & ML
- Ability to shape and lead research agendas
- Ability to communicate their findings to academia and business audiences
Preferred qualifications include demonstrated research experience in one or more of the following areas:
- Deep learning /Generative AI – either image, language, audio or multimodal models
- Deep learning /Generative AI for African languages or in data constrained tasks
- Data generation and augmentation for building and evaluating models
- A demonstrated research interest in Africa
- Excellent problem-solving and critical-thinking skills
- Effective communication and collaboration skills within a multidisciplinary team
Method of Application
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