The School of Applied Mathematics at Fundação Getulio Vargas (FGV EMAp) in Rio de Janeiro, Brazil, invites applications for one open-rank faculty position in Data Science beginning in February 2020. We are looking for established academics (associate/full professor) or outstanding young academics (assistant professor) in Data Science. We seek outstanding applicants who have demonstrated research expertise in at least one area in data science, broadly conceived, such as machine learning, deep learning, natural language processing, data visualization, computer vision, or visual analytics.

The successful candidate is expected to teach at both undergraduate and graduate levels, publish in high impact journals, supervise research (postgraduate) students, and be committed to providing service to the department and Institution. The post holder is also expected to develop a vibrant externally funded research program which complements the current research activities in data science. Peer-reviewed external funding is expected to be obtained and sustained. Industrial partnerships are also strongly encouraged, as appropriate.

Qualifications

The successful candidate is expected to hold a Ph.D. in data science, computer science, or a related discipline, by the time of the appointment. At the assistant professor level, we expect the applicant to have a compatible track of publications and a strong potential of achieving top ranked publications. At higher levels (associate or full) it is expected the applicant to have an established line of research with a strong publication record, proven ability to attract external funding, and an established research network.

The successful candidate will also possess excellent communication and presentation skills, being capable of teaching both undergraduate and postgraduate students across our portfolio of Data Science courses. Fluence in Portuguese is desired but not required. However, by the end of the second year the applicant may be required to teach in portuguese.

About us

Getulio Vargas Foundation (FGV) is a distinguished and internationally renowned Brazilian higher-learning institution dedicated to the intellectual development of the nation. The School of Applied Mathematics (EMAp) located in Rio de Janeiro, has as its main goals to contribute with the effort of FGV towards innovation through the use of Mathematics in its numerous areas of application, especially the Applied Social Sciences.

We are a growing department that aspires to be top ranked in Latin America and world-wide. The School of Applied Mathematics currently offers Ph.D., M.Sc., and undergraduate degrees in applied mathematics and, starting next year, Data Science. We also have an ongoing Postdoctoral Fellowship program. In 2020 a research center for Data Science will be created boosting investigation in the area.

Application

Academics with appropriate qualifications are kindly invited to send their applications electronically to emap_position@fgv.br, including: 1. Cover letter which describes your experience, interests and suitability for the position; 2. Curriculum vitae; 3. Teaching statement; 4. Research statement.

The applicant should also provide three to five reference letters to be sent directly to the hiring committee.

To be considered for associate/full professor, please include evidence of experience in directing theses and dissertations and a statement on how joining the department will help expand the Data Science group's profile.

Applications (including reference letters) received by August 30, 2019 will receive full consideration. Selected individuals will be contacted for interview by September 23, 2019

Informal enquiries should be sent to Prof. Cesar Camacho, Head of the School, by email direcaoemap@fgv.br

Salary and Benefits

We offer a very competitive compensation package and benefits, commensurate with the level of appointment. The benefits include health and dental plans, support for young children’s education, private pension fund, and attractive research support package. The post holder will also have the opportunity to apply to our Institutional grant for applied research projects.

Further considerations

FGV is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, ethnicity, sex (including gender identity), national origin, disability status, age, sexual orientation, or any other characteristic protected by law. We always welcome nominations and applications from women, members of any minority group, and others who share our passion for building a diverse community that reflects the diversity in our student population.