IBM Research Africa Postdoctoral Fellowship in Machine Learning in South Africa 2021

IBM Research Africa invites applications for the IBM Research Africa Postdoctoral Fellowship for International Students in Machine Learning in South Africa for the 2021/22 academic year.

The research projects to be undertaken during the fellowship will be characterized by data-driven innovation and machine learning. This is in areas such as quantum computing, computational genomics, clinical natural language processing, and biomedical image analysis. It also includes geospatial AI for climate and environmental applications and decision optimization for policymaking with AI. Many of the research projects will be geared towards having a transformational impact in South Africa and across the African continent.

IBM Research Scientists are charting the future of Artificial Intelligence, creating breakthroughs in quantum computing, discovering how blockchain will reshape the enterprise, and much more.

Worth of Award

  • Successful candidates should expect to undertake postdoctoral research on a project that is defined by IBM Research. It may, therefore, be different from their doctoral research.
  • Fellows will be supervised by researchers from the South African research lab. They will also work alongside other expert IBMers from the network of IBM Research global labs.
  • They will contribute to research outputs including proofs-of-concept, publications, patents, and public seminars (at least 2).
  • Yet again, they will collaborate extensively with teams from various IBM Research labs and contribute to cross-lab outputs and objectives.
  • As IBMers, the fellows will have access to IBM computing infrastructure, IT, and cloud services; and to a wide range of global mentorship and networking opportunities.
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Eligibility

Applicants for the IBM Research Africa Postdoctoral Fellowship must be

  • a South African natural.
  • a member of designated groups as defined in the Employment Equity Act: Black (African, Indian and Coloured).
  • unemployed for the duration of the fellowship.
  • familiar with data science and machine learning methods, including their implementation. Experience with deep learning, signal and image processing, and computational mathematics will be advantageous.

They must also have

  • completed a doctoral degree within the last (5) years in Computer Science and other fields with considerable computational modelling and programming focus, such as Computational Biology; Computer Science; Data Science; Electrical, Electronic or Computer Engineering; Computational Genomics; Industrial Engineering; Computational Physics; Computational Mathematics & Statistics, Health or Medical Informatics.
  • demonstrable research proficiency based on the scientific method, meaning they must have the ability to define research questions, formulate a hypothesis, and develop innovative solutions using cutting edge technologies.
  • considerable programming experience in languages such as C++, Python, Java, JavaScript, MATLAB, and R.

Preferred Technical and Professional Expertise

  • Be familiar with data science and machine learning methods, including their implementation. Experience with deep learning, signal and image processing, and computational mathematics will be advantageous.
  • Have considerable programming experience in languages such as C++, Python, Java, JavaScript, MATLAB, and R.

How to Apply

IBM is an equal opportunity employer and encourages applications from both genders as well as minority groups.

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Applicants

  • are to submit their detailed Curriculum Vitae which includes a publication list with full references (i.e. authors, title, year, name of the journal/publisher, volume and page numbers). Conference proceedings, technical reports, patent should also be reported.
  • must attach proof of their Master and Doctoral qualifications to their application. For those who are still in the process of completing their doctoral degree, a letter of confirmation from their current institution, stating that their Doctoral qualification will be completed and submitted for examination by 31 July 2021 must be attached to the application.
  • Requested information that is not included at the time of submitting the application, will render the application incomplete resulting in rejection without review.

Deadline: Applications are ongoing.

 

Click here for more details and to apply

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