vacation programmes Archives - The Bursary Bin https://bursary.seniorjournalism.com/tag/vacation-programmes/ Bursaries, Internships, Scholarships, and more Mon, 22 May 2017 21:51:27 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.1 https://i0.wp.com/bursary.seniorjournalism.com/wp-content/uploads/2023/05/cropped-560801_366250993467638_143191026_n.png?fit=32%2C32&ssl=1 vacation programmes Archives - The Bursary Bin https://bursary.seniorjournalism.com/tag/vacation-programmes/ 32 32 24248233 CSIR Vacation Work in Data Science for Impact and Decision Enhancement (Various study fields) https://bursary.seniorjournalism.com/2017/05/22/csir-vacation-work-data-science-impact-decision-enhancement-various-study-fields/ https://bursary.seniorjournalism.com/2017/05/22/csir-vacation-work-data-science-impact-decision-enhancement-various-study-fields/#respond Mon, 22 May 2017 21:51:27 +0000 http://bursary.seniorjournalism.com/?p=9079 The CSIR in collaboration with Department of Science and Technology (DST) has Vacation Work opportunities in the field of data science and its associated entrepreneurial activities. The vacation work programme…

The post CSIR Vacation Work in Data Science for Impact and Decision Enhancement (Various study fields) appeared first on The Bursary Bin.

]]>
The CSIR in collaboration with Department of Science and Technology (DST) has Vacation Work opportunities in the field of data science and its associated entrepreneurial activities. The vacation work programme is designed to provide students with experience and understanding of research, development and the implementation thereof in projects with a strong focus in science, engineering, technology, innovation and mathematics. Applications are invited from candidates that are either currently studying towards or have completed a Bachelors in engineering, science, commerce or arts with majors in computer science, statistics, applied mathematics, economics, entrepreneurship, public policy, graphic design and journalism. These opportunities are based in Pretoria.

About the programme:

The DSIDE programme is an intensive twelve week program (4 weeks in June/July and 8 weeks in December and January) that places students into multi-disciplinary teams working on real world problems from ICT-related fields.

Mentors from the CSIR data science practitioner community will provide guidance and support on all projects. The goal of the DSIDE programme is to give students an opportunity to solve a real problem in a real context and to give partners an opportunity to tap the skills and ingenuity of a student team. Some problems have been solved under the visual analytic framework with the goal of letting the data tell the story of “What happened”, “Where”, “How”, “When” and the “Value” of the insight. Teams will comprise of technical expertise, entrepreneurial expertise and public policy expertise for a truly interdisciplinary approach. Problems will come from domains such as education, social media, transportation, logistics, energy, smart urban development, government policy making, etc.

Qualification requirements:

  • Currently enrolled third, fourth and honours year students studying towards a Bachelor’s degree in engineering, science, commerce or arts with majors in computer science, statistics, applied mathematics, economics, entrepreneurship, public policy, graphic design and journalism with good academic standing;
  • Ability to identify patterns, solve problems, have an analytic mind and hardworking;
  • Strong software development skills;
  • All applications must be accompanied by the following documents:
    • Certified copies of tertiary qualifications.
    • Certified copy of the latest academic record.
    • Certified copy of Identity Document
    • Copy of CV (1 page highlighting past experiences and academic work related to the position).

Applicants must be South African citizens.

Should you meet the above requirements, please email your CV to [email protected] with your name and surname, position title and reference number on the subject line, (e.g. John Smith: Vacation Work: Reference No: 308113).

Closing date: 29 May 2017

See this advert in pdf format at this link.

The post CSIR Vacation Work in Data Science for Impact and Decision Enhancement (Various study fields) appeared first on The Bursary Bin.

]]>
https://bursary.seniorjournalism.com/2017/05/22/csir-vacation-work-data-science-impact-decision-enhancement-various-study-fields/feed/ 0 9079