The AIMS-Carnegie Research Chairs program in Data Science at Quantum Leap Africa

Plazo de solicitud: octubre 20th 2018

En asociación con the Carnegie Corporation of New York, the African Institute for Mathematical Sciences (AIMS) is offering promising emerging African data scientists of at least postdoctoral standing, attractive career opportunities at its pioneering Quantum Leap Africa (QLA) Research Centre in Rwanda. Two outstanding African data scientists in or from the diaspora will be given the opportunity to establish research teams of their own at QLA via the AIMS-Carnegie Research Chairs program in Data Science and its Applications.

The AIMS-Carnegie Research Chairs program in Data Science and its Applications aims to position Africa at the forefront of information science, particularly of the quantum variety. It also seeks to ensure that African scientists including those in the diaspora are able to fully contribute to the above aim. The program will achieve this by offering these chairs to emerging data scientists who may have returned to Africa or are still based outside the continent. The chairs will contribute to research capacity building of postdoctoral fellows, PhD and MSc students; establish an exchange visit program; participate and host scientific events; build active partnerships with other research institutions, industry and government, among other activities.

The AIMS-Carnegie Research Chairs program in Data Science and its Applications has equally been designed to recognise outstanding talent and creative research approaches in data science with exceptional conditions.

(i) With an award amount of at least one million USD each, the incumbents receive valuable starting capital to spend five years pursuing an innovative research project at QLA. This is without administrative constraints as they will be supported by an excellent administrative team which will allow them to focus on their research.

(ii) The establishment of their own research team and possibility to initiate and implement a diverse number of research activities will enable the chairs to lay an important foundation for a promising academic career at a very early stage.

Elegibilidad
These positions are open to outstanding qualify young academics in data science and its related disciplines in/from the diaspora who completed their doctorate less than ten years ago.

  • Applicants must be of African descent and could be residing anywhere in the world.
  • If based in Africa, the applicant should have spent a percentage of their postgraduate or postdoctoral or career term outside the continent.
  • Applicants should demonstrate significant evidence of excellent, self-initiated and self-directed research in data science and its related disciplines.
  • Applicants should have experience supervising Master’s and/or PhD students.
  • Applicants should be willing to work from the QLA premises in Rwanda although they will have the freedom to travel and engage with collaborators worldwide.

Cómo aplicar
Applicants must use the online application portal to apply and submit the below supporting documents before the deadline indicated in the call for applications:

  • a completed proposal form,
  • a letter of motivation,
  • a curriculum vitae, and
  • electronic copies of three representative publications on which the candidate is the lead and/or senior author.

These supporting documents should be submitted in a pdf format and named using the following format: “AIMS-Carnegie-Chair–first and last name of applicant-type of document-monthyear of submission” e.g. “AIMS-Carnegie-Chair–JohnJake-CV-July2018”

Applications shall be considered complete if all the documents listed above, including support letters, are received by AIMS on or before the application deadline. For more details on the application procedure, please visit www.quantumleapafrica.org/careers.

Contacto

All correspondences should be sent to the following address: qlachairs@nexteinstein.org

Para más información:

Visit the Official Webpage of the AIMS-Carnegie Research Chairs program in Data Science at Quantum Leap Africa

DEJA UNA RESPUESTA

Por favor, introduzca su comentario!
Por favor, introduzca su nombre aquí

Este sitio usa Akismet para reducir el correo no deseado. Descubra cómo se procesan los datos de sus comentarios.