Summary Description: The Department of Statistics at Columbia University invites applications for an Associate Research Scientist position in statistics and neuroscience to begin July 1, 2014.The candidate is expected to have a strong research portfolio in computational neuroscience, statistical neuroscience, machine learning or a related field. Backgrounds in analyzing large neural data sets, modeling complex neural systems, and cutting-edge machine learning will be particularly valuable. The position is highly quantitative and highly interdisciplinary. The candidate is expected to be in the research groups of Liam Paninski and/or John Cunningham, with ample opportunities for interaction with an exceptional group of experimental and theoretical collaborators.
Minimum Qualifications: The applicants must have a PhD (or equivalent degree) in a relevant scientific area including Electrical Engineering, Statistics, Machine Learning, Physics, Applied Mathematics, or Computational Neuroscience.
Preferred Qualifications: - Experience with computational and statistical analysis- Effective communication; ability to work in a collaborative environment- Excellent communication and problem-solving skills.- Ability to interact with scientists from diverse disciplines and backgrounds.
As a member of the National Collegiate Athletic Association (NCAA) and the Council of Ivy Group Presidents (Ivy League), it is imperative that members of the Columbia University community, in all matters related to the intercollegiate athletics program, exhibit the highest professional standards and ethical behavior with regard to adherence to NCAA, Conference, University, and Department of Intercollegiate Athletics and Physical Education rules and regulations.
Columbia University is an Equal Opportunity/Affirmative Action employer.
Columbia University is one of the world's most important centers of research and at the same time a distinctive and distinguished learning environment for undergraduates and graduate students in many scholarly and professional fields. The University recognizes the importance of its location in New York City and seeks to link its research and teaching to the vast resources of a great metropolis. It... seeks to attract a diverse and international faculty and student body, to support research and teaching on global issues, and to create academic relationships with many countries and regions. It expects all areas of the university to advance knowledge and learning at the highest level and to convey the products of its efforts to the world.