Academic/Research positions in Business Analytics, Data Science, Machine Learning in October 2016

PhD/Postdoc at KU Leuven, Postdoc at Northeastern, Data Science Fellowship program at NYU, Asst. Prof. in ML at Cal State Long Beach, Data Science Faculty at UMBC, Faculty Business Analytics at USF, and more.

Data Scientist Here are Academic/Research positions in Business Analytics, Data Mining, Data Science, Machine Learning posted on KDnuggets in October 2016.

See an up-to-date and full list at

See also industry jobs in business analytics, Big Data, Data Mining, and Data Science.

  • PhD/Postdoc at KU Leuven, Belgium. - Oct 28, 2016.
    There are several openings for PhD students and post-docs working under Prof. Luc De Raedt in projects related to Automating Data Science (ERC) / Probabilistic Programming / Relational Learning
  • Postdoctoral Associate at Northeastern University, Network Science Institute, Boston, MA. - Oct 24, 2016.
    A postdoc position is available for an outstanding individual to conduct research at the intersection of data and network sciences. The project involves research on network embedding, models of networked phenomena that are both predictive and descriptive, and enhancing incomplete networks.
  • Moore-Sloan Data Science Fellowship program at NYU, New York, NY. - Oct 13, 2016.
    Data Science Fellows will be expected to work at the boundaries between the data-science methods and domain sciences. They will lead independent, original research programs with impact in one or more scientific domains (natural science or social science) and in one or more methodological domains (computer science, statistics, and applied mathematics).
  • Tenure Track Assistant Professor in Computer Science (Machine Learning) at California State University Long Beach, Long Beach, CA, USA. - Oct 10, 2016.
    Open tenure track position in Computer Science (Machine Learning). CSULB is a large, comprehensive hispanic-serving institution with 37,000 students.
  • Tenure Track Professor in Machine Learning at Aalto University, Helsinki, Finland. - Oct 09, 2016.
    We are looking for a professor to either further strengthen our strong research fields, with keywords including statistical machine learning, probabilistic modelling, Bayesian inference, kernel methods, computational statistics, or complementing them with deep learning.
  • RA for machine learning project on Deep Sequencing Learning for Smart Virtual Assistants at Acadia U, Wolfville, NS Canada. - Oct 09, 2016.
    The project aims to develop, test & apply innovative sequential event models to predict customer actions and recommend company actions to achieve pre-configured business goals. The project will run from Oct 31, 2016 to March 3, 2017. For more info, contact
  • Faculty, Data Science at Florida International University, North Miami, FL. - Oct 09, 2016.
    The successful candidate must have (1) an earned doctorate in a field that is related to or requires the management and processing of large data sets, such as Statistics or Applied Mathematics, Computer Science, Engineering, or Physics; (2) capability (commensurate with rank) to develop sponsored research programs in data science as it applies to the hospitality and tourism industry, and (3) an expectation of excellence in teaching data science related to hospitality and tourism.
  • Data Science/Big Data Faculty Positions at UMBC, Baltimore, MD. - Oct 06, 2016.
    UMBC is seeking qualified candidates with research interests and experience in Data Science, a research area with high growth and impact in environmental sciences, health care, security, applied statistics and others.
  • Assistant or Associate Professor, Business Analytics at USF, San Francisco, CA. - Oct 04, 2016.
    We seek an individual excited about collaborating to develop and deliver innovative learning experiences to undergraduate business students to prepare them to improve real-world organizational performance using models, data, and analysis.
  • Graphics Software Specialist at Monash University, Melbourne, Australia. - Oct 04, 2016.
    Identify and install existing software packages, and develop bespoke application programs to support ambitious and innovative research, outreach and industrial engagement projects making use of the CAVE2 or other MIVP systems (e.g. 3D-ALIVE).