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Faculty Position in Data Science Universidad Adolfo Ibáñez

Universidad Adolfo Ibañez


Publicado hace 25 días


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La Universidad Adolfo Ibáñez (UAI) es una institución privada, sin fines de lucro, constituida como tal el año 1988. Originaria de la Escuela de Negocios de Valparaíso que fue instituida en 1953 por la Fundación Adolfo Ibáñez, depositaria del legado del empresario y hombre público don Adolfo Ibáñez Boggiano.

Su principal misión es entregar una educación que, basada en la libertad y en la responsabilidad personal, permita a sus estudiantes desarrollar la totalidad de su potencial intelectual y humano. Para lograr esto, la UAI asume el compromiso de impartir una formación profesional con altos estándares académicos, contribuir a expandir las fronteras del conocimiento a través de investigación del alto nivel y transferir estos conocimientos para beneficio de la sociedad.

En caso de requerir más información acerca de nuestra Institución, les adjuntamos el link del website de la UAI, donde podrás tener acceso a nuestras facultades, escuelas, noticias e información relevante de la comunidad UAI.

Esperamos tu participación en nuestras publicaciones y ayuda en la difusión de nuestras búsquedas, compartiendo el link con tus amigos, conocidos o personas que tengan ganas de formar parte de esta comunidad que crece día a día.

Saludos a todos

Equipo de Selección UAI

Universidad Adolfo Ibáñez.

The Faculty of Engineering and Sciences of Universidad Adolfo Ibáñez has great pleasure in inviting researchers to apply for up to four (4) open rank faculty positions in the area of Data Science to start on March 1st 2020.


The Faculty of Engineering and Sciences (FES) of Universidad Adolfo Ibáñez (UAI)


UAI is a prestigious private university in Chile. Founded as a business school in 1953, in 1988 it started operating as a university. At present, it has 12,400 students in 8 different schools located in two campuses: one in Santiago, the capital city of Chile, and the other in the coastal city of Viña del Mar.

The FES is a leading school of engineering, which has experienced a rapid growth over the last 10 years. It has 3,700 students and 91 full-time professors, offering 7 undergraduate engineering degrees, in addition to its MSc and PhD programs. FES brings together an open-minded community of scholars who combine fundamental and applied research meant to develop creative and innovative projects. These projects are expected not only to advance the frontier knowledge, but also to contribute toward developing solutions that can help to reach sustainable development goals.


Recently, the FES took a leading role in the newly created Data Observatory (DO), a non-profit organization whose mission is to acquire, process and store in digital media complex data sets generated by public or private institutions. Due to their large amount, their nature and complexity, these sets require curatorship, exploration, visualization, and analysis that makes the availability of such data easier for the purposes of the development of science, technology, innovation, knowledge and its applications in the economic field.  UAI is one of the four founding members of DO, together with Amazon Web Services, the Chilean Ministry of Science and Technology and the Ministry of Economy. 


Job description

The FES seeks outstanding researchers who have expertise in both theory and applications, and who show great interest in working with real data. The hiring committee particularly encourages applications from scholars working in the following areas: machine learning (ML), data management, big data analytics, data management for business intelligence, web and social network data, data security and privacy, distributed data management, explainable artificial intelligence, uncertain data and knowledge, ontologies, optimization methods in ML, statistical approaches to ML, and algorithms for data science.


Faculty members at FES are expected to teach undergraduate and graduate courses related to data science and related fields, in Spanish and/or English, supervise theses, conduct high quality research, publish in top international journals, submit research proposals to national, international and multinational funding organizations, and participate in outreach activities. FES also encourages and welcomes technological transfer and research in collaboration with the industry and the government. The salary depends on the qualifications of the chosen candidate. As a reference, a starting Assistant Professor should expect a basic annual remuneration ranging between US$ 48.000 and US$ 65.000 (before taxes). This salary does not include potential stipends from grants, startup packages or research contracts.


Candidates need not be fluent in Spanish at the moment of applying. They must have excellent oral and written communication skills, a great aptitude for teamwork, and a marked academic interest in high quality education and research. Requirements include a PhD degree in a field related to Data Science.

At FES we believe that diversity broadens our research scope and enhances the quality of our education, so we highly encourage women, international scholars and minorities to apply for this position.. Requisitos:Application instructions

Applications should be turned in by October 15th, 2019 to ensure full consideration, but the search will continue until the positions have been filled.  Candidates should submit the following information via email to .cl">FacultyPositions.

.cl (e-mail subject: Job Position in Data Science), including at least:

    1. Statement of purpose (in English) indicating your merits for the vacancy, and your plans in the areas of research and teaching in which you are interested.


    1. Curriculum vitae, which must at least include: contact information, educational background, educational and/or professional experience, and a list of publications in scientific journals.


    1. Name, position and contact information of at least three people who can submit a recommendation letter in case you are shortlisted.


    1. Availability to work in the campus of Santiago, Viña del Mar or both.

The candidate may also be asked to give a lecture about his/her current research topics and/or to hold interviews with the Dean and members of the Faculty of Engineering and Sciences. Interviews may be done by electronic means, if necessary.. Beneficios:

El contenido de este aviso es de propiedad del anunciante. Los requisitos de la posición son definidos y administrados por el anunciante sin que Laborum sea responsable por ello.
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