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


Positions at Center for Data Science and Public Policy at U. Chicago; Business Analytics Lecturer at U. Iowa; IBM Social Good Fellow; Data quality postdoc at McMaster U; Asst. Prof. of Marketing at Yale, and more.



Here is a list of Academic/Research positions in Business Analytics, Data Mining, Data Science, Machine Learning posted on KDnuggets in June 2016.

See an up-to-date and full list at www.kdnuggets.com/academic/

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

Academic Positions 2016 Feb

  • Post-Doc Position In Natural Language Processing at Center for Data Science and Public Policy at U. Chicago, Chicago, IL, USA. - Jun 28, 2016.
    Are you interested in using your natural language processing skills to make a social impact? Want to work with the White House and a team from government, academia, and industry to change how job training programs are created all over the US? The Center for Data Science & Public Policy at the University of Chicago has Post-Doctoral Fellowships for post-docs with a strong background in machine learning and natural language processing and a passion for social impact and public policy.
  • Business Analytics & Information Systems Lecturer (req 69158) at U. Iowa, Iowa City, IA, USA. - Jun 28, 2016.
    supervise 4 or more sections per academic year of the undergraduate experiential Business Analytics Capstone course. The position also includes a Director role in Tippie Analytics Cooperative.
  • Lecturer: Business Analytics & Information Systems (req 69157) at U. Iowa, Iowa City, IA, USA. - Jun 28, 2016.
    Seeking lecturer positions teaching topics in business analytics and information systems in the undergraduate, Master's, and MBA programs starting August 17, 2016.
  • IBM Social Good Fellow at IBM, Yorktown Heights, NY, USA. - Jun 23, 2016.
    An opportunity for graduate students/postdocs to develop their skills and develop data science solutions that benefit humanity. Mentored by leading IBM Research scientists and engineers at the T. J. Watson Research Center, fellows use data mining, machine learning, analytics, operations research, statistics, and mobile computing methods to complete projects with social impact.
  • Data quality postdoc at McMaster University, Hamilton, Canada. - Jun 23, 2016.
    The Data Science Lab at McMaster University seeks candidates for a postdoc fellowship. Candidates with research experience in data quality, data profiling, data cleaning, data privacy, and machine learning are particularly suitable. The position is available starting Fall 2016, with an initial appointment for one year and renewable up to two years.
  • Post Doc Causality and Machine Learning at UPSud Paris-Saclay, Gif-sur-Yvette (near Paris), France. - Jun 22, 2016.
    The Machine Learning and Optimization (TAO) group of the Laboratory of Research in Informatics (LRI) is seeking a postdoctoral researcher for working at the interface of machine learning and causal modeling.
  • Empire Scholar (Associate Professor, Professor) at SUNY Upstate Medical University, Syracuse, NY. - Jun 20, 2016.
    We are seeking an expert in psychiatric genomics to fill a tenured Associate/Full Professor position as part of the New York State Empire Innovator Program (EIP). The candidate's research should focus on neuropsychiatric disorders and neurodevelopment. Areas of interest include bioinformatics, computational genetics, and machine-learning. Significant current external research funding is required.
  • Post-Doctoral Fellow - Building Data Analytics at Fraunhofer USA, Boston, MA. - Jun 17, 2016.
    We seek a Post-Doctoral Fellow to work with Fraunhofer's interdisciplinary Building Energy Technologies team to develop, test, and evaluate algorithms using CT and interval electric field data.
  • Assistant Professor of Marketing at Yale School of Management, New Haven, CT. - Jun 13, 2016.
    Seeking applications from graduating students, post-docs and others who have the potential to become outstanding scholars.

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