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Universidad EAFIT
Carrera 49 # 7 sur -50 Medellín Antioquia Colombia
Carrera 12 # 96-23, oficina 304 Bogotá Cundinamarca Colombia
(57)(4) 2619500

Visiting professor teaching position Big Data

​​​​​The School of Management at Universidad EAFIT announces the availability of a short-term teaching position for a master's-level course on Big Data.

Duration of stay: one month.

Period of visit: between March and August of 2017. Candidates must be available during this timeframe. The School of Management will arrange the precise time of the visit in consultation with the winning candidate.


  • Teaching a 24-hour Spanish-language master's course on Big Data to students of master's programs within the School of Management.
  • A talk on this theme or other pertinent theme of current research at one of the University's locations.

The program covers the following costs

  • Airfare.
  • Lodging.
  • Food.
  • Local transport.
  • Transport to and from local airport.
  • Honoraria (specific amount conditional upon seniority of winning candidate).

Applicant profile

  • PhD or doctoral candidate.
  • Teaching experience on the stipulated theme a plus.
  • Publications in the teaching field or related areas.
  • Capacity to lecture and evaluate students in Spanish.


Application requirements

Com​pletion of application form (see link), and attachment of:

  • ​CV.
  • Copy of doctoral diploma and/or official transcript.​
  • Cover letter (in Spanish) indicating suitability for the position, detailing prior teaching and/or related work experience and publications in the field.  Doctoral students should include a current official letter from their university certifying their good standing.
  • Copy of passport photo page.
  • A proposed syllabus. The syllabus should be geared toward master's-level students in management-related fields (MBA, MIB, Marketing, etc.).  It should include 24 weeks of class time over an intensive three-week span (one week of three class sessions of four hours each, followed by a week without classes, followed by another week of three four-hour sessions).  The applicant is generally free to design the course according to his or her preference, but should seek to develop the course through case studies and the study of data analytics models, identify business opportunities in which data analytics techniques can be used, and provide an introduction to data analytics tools and their specific application.

Application forms and supporting materials must be submitted to the following email address: Inquiries should be directed to the same address.​


​Selection process and schedule

  • Applications will be accepted from November 30, 2016 until 6:00 p.m. on January 31, 2017.
  • Finalists will be notified on February 7, 201.7
  • Interviews (via video link) will be conducted with finalists between February 14 and 24, 2017.
  • ​The winning candidate will be announced on February 27.​​​​
Última modificación: 23/06/2022 18:58