NON-TENURED FACULTY POSITION IN COMPUTATIONAL/ QUANTITATIVE FINANCE
- Employer
- Stevens Institute of Technology
- Location
- New Jersey, United States
- Salary
- Salary Commensurate with experience
- Date posted
- Nov 16, 2020
View more
- Position Type
- Faculty Positions, Business & Management, Accounting & Finance, Science, Technology & Mathematics, Computer Sciences & Technology
- Employment Level
- Non-Tenured Track
- Employment Type
- Full Time
The School of Business at Stevens Institute of Technology
invites applications for a non-tenured full-time faculty position
to teach courses within its Information Systems and Quantitative
Finance programs. Courses in these programs include
fundamentals of computer science, data management,
programming, applied analytics, as well as machine
learning. We seek an individual with excellent academic
credentials who will be able to identify developments within
information systems and data analytics and teach existing as well
as new courses. Professional Experience in the area is a
plus.
Successful candidates will possess an advanced degree, with an
earned doctorate in Computer Science or a related discipline, and
experience teaching at the graduate and undergraduate level.
Special consideration will be given to individuals with experience
in programming, data analytics, and algorithm
development. The individual chosen for this position
should possess the background and experience necessary to teach a
variety of courses in the curriculum, and a record of publishing
and research. The rank of the position will be dependent upon
experience and qualifications.
The Stevens School of Business is a leader in education at the
intersection of business and technology. Our MS programs in
Information Systems, Business Intelligence and Analytics, Financial
Engineering/Financial Analytics, as well as our MBA Analytics rank
among the best in the country. The BS in Quantitative Finance is
the largest undergraduate program in the School of Business and
combines computer science, math, technology, and finance subjects.
The successful candidate will be expected to play a full role in
curricular development, student advisement and the programs’ robust
series of public events besides the primary role of teaching
graduate and undergraduate level courses.
Stevens Institute of Technology is a private institution located in
Hoboken, NJ, directly across the Hudson River from New York City.
Hoboken is a vibrant, walkable community in close proximity of
Manhattan and has been ranked among the 12 best college towns in
the country by Princeton Review. Stevens Institute of Technology
works closely with local and global industries as well as
government organizations on various research projects.
The School of Business at Stevens Institute of Technology is ranked among the top business schools in the nation, owing to the incredible career outcomes and high ROI enjoyed by students; the close relationships faculty cultivate with industry; and the university’s leadership in data, analytics and technology, and their roles in tomorrow’s workplaces. The School of Business has a special focus on analytics, information systems, and finance, and encourages interdisciplinary research. The school is AACSB accredited and offers three PhD programs in Business Administration, Financial Engineering and Data Science, two MBAs, nine Masters degrees, and undergraduate degrees in Business as well as Quantitative Finance. For more information, visit www.stevens.edu/business.
Applications and nominations will be accepted until the position is
filled. Stevens Institute of Technology appreciates all
applications but can only respond to qualified candidates.
The School of Business at Stevens values diversity and seeks candidates who can contribute to a welcoming climate for students of all races and genders. Stevens is an NSF ADVANCE institution committed to equitable practices and policies. We strongly encourage qualified women and minority candidates to apply.
How to Apply: This position is contingent on final budget approval. Candidates should express their interest in being considered by emailing a cover letter and CV to Lindsay Hartelius at lharteli@stevens.edu.
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