Tenure-track Paris, France Apply by
Job
The American University of Paris
Office of the Provost
5 bld de la Tour Maubourg
75007 Paris
France

The American University of Paris invites applications for a full-time position in Statistics or a related quantitative discipline related to Data Science in the Department of Computer Science, Mathematics and Environmental Science at the rank of Assistant Professor, beginning August 1, 2020. Candidates should be able to show expertise in their area of Statistics (or a quantitative discipline related to data science), including academic publication, as well as a strong ability and track record of excellent teaching. Candidates with teaching and/or research records related to data science and related fields are of particular interest.

The successful candidate will be expected to teach at least one section of Statistics 1 each semester, and other courses such as Calculus 1 or a Mathematics for Liberal Arts class depending on scheduling requirements. He or she will also be charged with developing courses contributing to Data Science curriculum in collaboration with current faculty from computer science and mathematics. The successful candidate may also teach other courses according to interest and availability.

Qualifications: Candidates must possess a Ph.D. in statistics, or a discipline related to data science, by time of appointment (1 August 2020) and show a proven capacity for research and engaged teaching. Teaching experience within a liberal arts context or familiarity with liberal arts education is desirable. Strong interdisciplinary interest in the social sciences and/or an applied discipline is an asset. The candidate must be able to speak and write in fluent English. Ability to speak French is recommended but not required.

We invite and encourage women and underrepresented populations to apply. The University is an equal opportunity employer for whom diversity is an essential source of vitality and strength.

The Institution:  Founded in 1962, The American University of Paris (AUP) is a small, undergraduate and Masters degree-granting institution with a Liberal Arts core, dedicated to the advancement of the Arts & Sciences in an international and multicultural environment. AUP brings together the values of the American higher education system with its location in Paris and Europe. Located at the crossroads of American and European institutions of higher education and research, AUP facilitates its faculty’s development of an international and stimulating professional network. The Commission on Higher Education of the Middle States Association of Colleges and Schools accredits AUP in the United States of America. AUP has cooperative agreements USA and European-based universities.

The Department: Cherishing the ideals of the liberal arts, the Department of Computer Science, Mathematics and Environmental Science aims for a contextualized and active learning approach. Emphasizing interdisciplinary education and research, the department maintains close ties with other departments within the University as well as with research centers, universities, and industry in Europe and all over the world. The 12 full time faculty in the department have expertise in a diverse collection of disciplines including artificial intelligence, number theory, ecology and evolutionary biology and climate modeling.

The department hosts a major in Computer Science as well as three interdisciplinary majors in Quantitative Environmental Science, Mathematics and Computer Science, and Environmental Studies and five minors. Student numbers are increasing in the department, reflecting student interest in these areas, and committed teaching and faculty mentoring of students.  Through AUP’s innovative Global Liberal Arts Core Curriculum, the department also enhances the general education of AUP students by providing them with skills for quantitative, experimental and abstract reasoning; comprehension, analysis, and integration of knowledge; digital literacy and critical thinking; and to formulate and efficiently solve problems.

Responsibilities:

-          The teaching load is the equivalent of six courses per academic year, which typically would be four to five math courses

-          Teaching responsibilities will primarily be focused on teaching at least one section of Statistics 1 per semester, and other first-year courses such as                  Calculus 1 or a Mathematics for Liberal Arts students, according to scheduling requirements

-          The successful candidate will also be charged with developing courses contributing to Data Science curriculum in collaboration with current faculty from computer science and mathematics

-          They may also teach other courses according to interest and availability

-          Professional mentorship is an important component of our work with students

-          Commitment to scholarship, excellence in teaching, integrative learning

-          Service to the department (contributing to curricular development and innovation, advising students)

-          Willingness to provide service to the university (participation in committee work, assessment, interdisciplinary collaboration)

-          Participating in faculty governance, including attending full faculty, department, and committee meetings

-          Working in a professional and collegial manner with the university community

-          Maintaining compliance with policies and procedures in the Faculty Manual

Faculty at AUP must have a commitment to liberal arts education in a highly international environment and pursue international research and scholarship. We seek engaged scholars, and have high expectations of teaching and scholarly research.

 


Application Instructions

Please submit your application through http://apply.interfolio.com/69610 to include

·         cover letter

·         curriculum vitae

·         statement of pedagogical philosophy with evidence of teaching effectiveness

·         statement of research interests

·         a writing sample of recent scholarship

·         three confidential letters of reference

Applications should be received by 25 November 2019 for full consideration.

 


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Contact Person
Ms. S. Foley
0140620823