Faculty Positions In Machine Learning & Artificial Intelligence, and Statistics – UAI

Faculty Positions In Machine Learning & Artificial Intelligence, and Statistics – UAI

Faculty Positions In Machine Learning & Artificial Intelligence, and Statistics

The Faculty of Engineering and Sciences (FES) of Universidad Adolfo Ibáñez (UAI, https://www.uai.cl/en/) is pleased to invite researchers to apply for up to three open-rank faculty positions in Machine Learning/Artificial Intelligence, and two open-rank positions in Statistics due to start as early as March 1st, 2021.

 

Job description

The FES seeks candidates with demonstrated excellence in research, teaching and service and with expertise in both theory and applications of Machine Learning & Artificial Intelligence. In particular, we seek candidates with any of the following research lines:

 

    Neural networks/Deep learning

    Probabilistic Graphical Models

    Statistical relational learning

    Optimization methods in ML

    Statistical Learning Theory (SVMs, Kernel-based methods, Ö)

    Automated Decision Support Systems

    Recommender systems

 

For Statistics, the following research areas are relevant:

 

    Spatial statistics

    Hierarchical modeling (both frequentist and Bayesian)

    Statistical/machine learning

    Computational statistics

    Image and text processing

    Causal inference

    Statistical genetics

    Data visualization

    Longitudinal data

    Bayesian statistics

    Recommendation algorithms

    High-dimensional statistics

 

Faculty members at FES are expected to teach, in Spanish and/or English, undergraduate and graduate courses related to Machine Learning/Artificial Intelligence and Data Science, 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.

 

Requirements include a PhD degree in Machine Learning/Artificial Intelligence/Computer Science/Statistics or a related field, and an academic productivity level that complies with the Chilean CNA accreditation board guidelines. In particular, for the Associate Professor or Full Professor position, at least seven publications in Web-of-Science indexed journals over the last five years, and experience leading research grants and guiding postgraduate students. Experience in academic administration is a plus.

At FES, we believe that diversity broadens our research scope and enhances the quality of our education. Hence, we highly encourage women, international scholars, and minorities to apply for these positions.

For more on the strategic plan of the FES: https://ingenieria.uai.cl/assets/uploads/2020/04/plan-fic.pdf

 

Application instructions

Applications should be turned in by November 15st, 2020 to ensure full consideration, but the search will continue until the positions have been filled. Candidates should submit the following information via email to FacultyPositions.FIC@uai.cl (e-mail with subject: Faculty Position in ML/AI or Faculty Position in Statistics).

 

For more information please visit: https://ingenieria.uai.cl/faculty-positions/

Data Science Group web page (under construction): https://datascience-uai.github.io/index

in