- Open Rank Teaching Professor - MPS in Applied Machine Intelligence (Boston)
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Open Rank Teaching Professor - MPS in Applied Machine Intelligence (Boston)
About the Opportunity
About Northeastern:
Northeastern University is a global, experiential and leading research university, built on a tradition of engagement with business, industry and communities to create a distinctive approach to education, research and service. Northeastern's vibrant Boston campus is a one-of-a-kind sanctuary of lush green spaces and tree-lined pathways located right in the heart of the city. The College of Professional Studies offers innovative and flexible programs that allow adult learners and working professionals to complete their degrees. CPS offers associate, bachelor's degree, certificate programs and post-baccalaureate programs in fast-growing fields such as biotechnology, leadership, business administration, finance, project management, information technology and management. Degrees are delivered in full or part-time formats and courses are offered in a variety of on-campus and online options.
The College of Professional Studies is one of ten colleges of Northeastern University, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs.
About the Opportunity:
Faculty members teach in both in-person and online modalities with a diverse student body. The successful candidate must demonstrate strong teaching abilities, a dedication to continued improvement as an educator, and alignment with the scholar-practitioner model. Experience teaching at the master's level, developing on ground and online courses, and proven success in working with international students are desired attributes.
The successful candidate will demonstrate an understanding of the broader applied artificial intelligence and machine learning fields and will possess experience working in industry such as pharmaceuticals/healthcare, finance, human resources, or business ventures. The ideal candidate will have a record demonstrating their expertise and engagement in applied artificial intelligence and machine learning fields as both a practitioner and instructor. Beyond the classroom, the candidate will engage in service to the department, college, and university, as well as professional development.
The position is a full-time, open rank, non-tenure track, renewable appointment located in Boston, MA.
Responsibilities:
This full-time faculty member is expected to bring her/his intellectual and creative capacity to bear in advancement of the program, seeking to serve students by participating in a range of teaching and non-teaching activities that support the advancement of the program. S/he will teach a full teaching load spread throughout the year and will work with the program office on administrative issues and programmatic projects.
Teaching & Curricular Oversight (60% of time)
- Teaching core courses, such as Fundamentals of Artificial Intelligence, Usability and Human Interaction, AI System Technologies, as well as concentration courses in the areas of Applied Machine Intelligence in Finance, Business Ventures, Healthcare, or Human Resources.
- In conjunction with the Program Lead, developing and implementing course learning outcomes, curriculum maps, resource guides, textbooks, syllabi templates, and updated course materials; includes region-specific coursework, including formative and summative assessment of student learning, fostering student success, and delivering an exceptional student learning experience.
- Overseeing the instruction of specific courses within the curriculum. Responsibilities include supporting the Program Lead and Program Manager in the selection of instructors, advising on syllabi, and evaluating instructor performance.
- Identifying and providing recommendations to keep curriculum relevant and industry leading.
- Working with the Program Lead to ensure regional programs meet license/accreditation requirements and participate in comprehensive regional evaluations and periodic reviews.
- In collaboration with the Program Lead, creating modularity guidelines and recommendations for program content integration across the programs and regional campuses.
Teaching and actual course load may vary with other responsibilities, which include, but are not limited to:
Program, Region, and College Support (20% of time)
- Creating and supporting local events to add value to the experience of AMI students at the Boston campus, including events that connect students with local industry practitioners, associations, and employers.
- Coordinating with the Program Lead and CPS leadership in the creation and management of local industry advisory boards as may be required.
- Representing the program in regional orientations, open house events, and admitted student events.
- Tracking the progress of AMI students in conjunction with campus staff, including academic advisors and other faculty members, to support student success.
- Identifying and engaging possible co-op and experiential learning sponsors to establish relationships and define engagement.
- Participating in program and faculty committee meetings as applicable.
- Serving on committees that support the mission of the program and the vision of the College and wider University.
- Support the definition of processes and best practices for leveraging professional networks within the region and among the private sector to create deeper connections between stakeholders.
- Contribute to an interdisciplinary environment through active collaboration with faculty and staff across Northeastern's Global University network.
Faculty & Student Support (20% of time)
- In coordination with the Program Lead, assess and enhance instructional quality of courses by offering follow-up coaching to part time faculty across the Northeastern network for courses assigned to him/her.
- Collaborating with the Program Lead to recruit and vet qualified candidates for part time faculty positions.
- Assisting the program in the onboarding of new part time faculty across the Northeastern network for courses assigned to him/her and maintaining ongoing communications and mentorship to gauge engagement within the program.
- Providing opportunities for part time faculty to engage with program and college activities; seek their professional and curricular feedback.
Faculty enjoy a collegial work environment that allows for work-life balance and are expected to be available to students online as needed for their coursework.
Qualifications:
The successful candidate must demonstrate strong teaching abilities and a dedication to continued improvement as an educator. Experience teaching at the master's level, teaching and developing on ground and online courses, and proven success in working with international students are desired attributes.
The successful candidate will have the following qualifications and characteristics:
- A terminal degree from an accredited institution in computer science, statistics, analytics, data science, or a related field
- 3+ years of professional experience in applied artificial intelligence, machine learning, advanced analytics, or data science. Possessing knowledge about how to manage, analyze, communicate, visualize, and lead with artificial intelligence is a plus.
- Excellent written and oral communication as well as presentation skills, with an ability to communicate technical concepts / solutions to external business partners, students, and other stakeholders.
Preferred Qualifications:
- Experience teaching at the graduate level, including online course development, facilitation, and innovative use of technology in support of learning
- Experience mentoring students from a wide range of cultural and professional backgrounds
- Fluency in R and Python as well as familiarity with commonly used tools and techniques in analytics (Tableau, Spark, SQL, etc.)
Additional Information:
Applicants should submit materials including a letter of interest, vitae, and contact information for three professional references. In your cover letter, please discuss how you can support our commitment to fostering an inclusive environment for all faculty, staff, and students. Please direct questions to Shachi Winton (s.winton@northeastern.edu). Applications will be reviewed until the position is filled.
Northeastern University is an Equal Opportunity, Affirmative Action Educational Institution and Employer, Title IX University. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by the law.
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. To learn more about Northeastern University's commitment and support of diversity and inclusion, please see www.northeastern.edu/diversity.
Position Type
Academic
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
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.
To learn more about Northeastern University's commitment and support of diversity and inclusion, please see www.northeastern.edu/diversity.
To apply, visit https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Boston-MA-Main-Campus/Open-Rank-Teaching-Professor---MPS-in-Applied-Machine-Intelligence--Boston-_R116875
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