[Statlist] PhD position in statistics at Stevens Institute of Technology

[Eva Cantoni]

/PhD position in statistics, Department of Mathematical Sciences, 
Charles V. Schaefer, Jr. School of Engineering and Science (SES), 
Stevens Institute of Technology//
//
//Funding is available for a PhD student (4 years) to work on a project 
in the following areas: robust statistics, semi- and non-parametric 
methods, spatial and spatio-temporal modeling with applications to 
ecology, and related computational aspects. The student will be 
supervised by Prof. William H. Aeberhard.//
//
//The prospective PhD student should have obtained a Master's degree, or 
equivalent, in statistics or in a related field by Summer 2019. Required 
qualifications include a solid background in mathematical statistics, 
some experience in applied statistical modeling and proficiency in at 
least one relevant programming language (R preferably).//
//
//PhD programs at Stevens typically include one year of course work with 
qualifying exams followed by three years of research. Tuition at Stevens 
is included in the position and the competitive stipend is commensurate 
to good living standards in the New York metropolitan area. //
//
//To apply: interested applicants should send a CV to Prof. William H. 
Aeberhard (william.aeberhard using stevens.edu). GRE and TOEFL exams will 
eventually be required for admission as PhD candidate in the Department 
of Mathematical Sciences. Suitable candidates could start as early as 
August 15, 2019. //
//
//About Stevens Institute of Technology: a private research university 
located in Hoboken, New Jersey, just across the Hudson River from New 
York City and only 15 minutes away from downtown Manhattan via public 
transportation. Stevens' exceptional location offers excellent 
opportunities for collaboration with nearby universities, Brookhaven 
National Laboratory, and major corporate research laboratories, as well 
as recruitment opportunities with some of the biggest companies in 
business and technology. With the recently inaugurated Stevens Institute 
for Artificial Intelligence and new Masters programs in Machine Learning 
and Data Science, Stevens intends on vastly increasing its research 
output in statistics, machine learning and artificial intelligence and 
is actively expanding its faculty in these areas. See 
https://www.stevens.edu/about-stevens for general information and 
https://tour.stevens.edu to view the campus location and surroundings.//


/

-- 
Prof. Eva Cantoni
Research Center for Statistics and
  Geneva School of Economics and Management
University of Geneva, Bd du Pont d'Arve 40, CH-1211 Genève 4
gsem.unige.ch/rcs/cantoni


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