Assistant/Associate/Full Teaching Professor - Electrical and Computer Engineering - Data Science
About Northeastern: Founded in 1898, Northeastern is a global research university and a world leader in experiential learning. The same commitment to connecting with the world drives our use-inspired research enterprise. The university offers a comprehensive range of undergraduate and graduate programs leading to degrees through the doctorate in nine colleges and schools. Our campuses in Charlotte, N.C., San Francisco, Seattle, and Toronto are regional platforms for undergraduate and graduate learning and collaborative research. Northeastern pursues advanced research in security and materials at the Innovation Campus in Burlington, Massachusetts, and in coastal sustainability at the Marine Science Center in Nahant, Massachusetts.
About the Opportunity: Northeastern University's Department of Electrical & Computer Engineering seeks outstanding candidates for the position of Assistant/associate/full teaching professor with a focus on Data Science. This is a full-time, benefits-eligible, non-tenure-track position. Appointments are made on an annual 8-month basis, with salary commensurate with experience. The position of Assistant Teaching professor entails educational interaction with students in roles including, but not limited to, traditional instruction (lecture courses, lab courses), curriculum development, and student advising.
Responsibilities: The main responsibility of this position is teaching classes that make up the master's program in Data Science, such as classes on algorithm design, data processing, machine learning, data mining and data visualization. The annual teaching course load is six courses, with the potential for teaching more than one section of a course in the same semester, over Fall and Spring semesters. Courses may be at both the undergraduate and graduate levels.
Teaching professors are also encouraged to pursue scholarly research on both educational and pedagogical topics as well as in their technical area of expertise and have the opportunity to supervise graduate students.
Qualifications: A PhD in Computer Engineering, Electrical Engineering, Computer Science, or Data Science, with teaching experience, is required. Excellent written and oral communication skills are required.
Preferred Qualifications: Candidates should have experience with a range of Data Science subareas, which may include algorithm design, data processing, machine learning, data mining and data visualization. At least 2 years' experience in teaching at the college/university level is recommended.
Salary Grade: FAC
Application should include a cover letter, CV, teaching statement, 3 references. A sample syllabus from a previously taught class is optional but recommended.
The Department of Electrical and Computer Engineering (ECE) and the College of Computer and Information Science (CCIS) at Northeastern University have recently launched a new interdisciplinary Master of Science program in Data Science. The program is designed to give students a comprehensive framework for processing, modeling, analyzing, and reasoning about data. Students engage in an extensive core intended to develop depth in data analytics, data collection, cleaning and integration, algorithmic problem solving and data visualization.
Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff. Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Founded in 1898, Northeastern University is a private research university located in the heart of Boston. Northeastern is a leader in worldwide experiential learning, urban engagement, and interdisciplinary research that meets global and societal needs. Our broad mix of experience-based education programs?our signature cooperative education program, as well as student research, service learning, and global learning?build the connections that enable students to transform their lives. The University offers a comprehensive range of undergraduate and graduate programs leading to degrees through the doctorate in nine colleges and schools.