The School of Engineering at the Pontificia Universidad Católica de Chile, one of the leading Engineering educational institutions in Latin America, invites applications for a full-time faculty position in the area of Marketing Analytics at the Department of Industrial and Systems Engineering.
Duties: The successful applicant’s duties will include teaching (at undergraduate and graduate levels) and conducting research in the Marketing Analytics area. In particular, the applicant should be able to lead research, teach, and apply innovative quantitative methodologies, including Data Science, to leading edge research in Marketing Science and its application to technology-based products and services. The selected candidate will be expected to interact with other faculty in the Department and School, participate and formulate research projects and be involved in an active research agenda. Teaching excellence is also expected, and successful candidates will be required to teach a maximum of 3 semester-long undergraduate or graduate courses like Marketing, Statistics, Data Science, at the School of Engineering, as well as participate actively in the development of the curricula.
Requirements: Applicants must hold a Ph.D. (or be currently pursuing studies towards the degree) in Marketing or related areas with a strong background in Analytics and Decision Sciences. Due to the interdisciplinary nature of the School of Engineering, it is important that the applicant is willing to work collaboratively; some international experience is also desirable. Candidates do not need to know Spanish at the time of application, but should be prepared to learn the language well enough to begin teaching in it in the short term.
Applicants must demonstrate potential for excellence and a strong vocation for all aspects of academic life, be highly motivated to continuously improve their teaching skills, have a genuine interest in getting involved with our graduate programs (specially the doctoral program) and be able to develop and maintain an active research agenda (publications, research grants, etc.). The successful candidate will also be expected to create new undergraduate and graduate courses and teach traditional courses in related areas.
Candidates should submit the following documents to firstname.lastname@example.org (in the email subject line, please put: Marketing Analytics; see note A) by November 16th, 2020 (late applications may be considered until the position is filled).
Note A: You will get a response from this email address confirming that your documents have been received.
Note B: The CV must be organized as follows:
i. Personal background: name, address, contact telephone (with country and city codes), email address, web page (if any).
ii. Educational experience (university or institution, courses taught, years).
iii. Professional experience (employer, duties, years).
iv. Education: certificates of all degrees or professional titles obtained indicating granting institutions and dates. If you are currently enrolled in a doctoral program, indicate when you expect to obtain the degree.
a. List of ISI journal publications (see note C).
b. List of other publications such as reports, books or book chapters, conferences attended, research projects participated in, patents, etc.
vi. Other: prizes and awards, computer skills, languages, any other background information that you consider relevant.
Note C: Please avoid padding the list with other publications, such as non included in Thomson Reuters database journals, conference presentations and the like. To check whether a journal is included in Thomson Reuters database (ex ISI) master list, visit the following web site: http://ipscience.thomsonreuters.com/product/web-of-science.
Once the complete set of application materials has been received, the applicant will be contacted within two months and informed whether or not his/her application has been accepted for further consideration. If this initial screening is successful, the candidate will be asked to give a lecture on his/her current research topics and attend interviews with faculty members of the Department of Industrial and Systems Engineering, the Dean of the School of Engineering and the Selection Committee.
Additional information may be obtained by emailing the Department Chairman, Dr. Juan Carlos Ferrer (email@example.com).