Part-Time Faculty, Computer Science with Machine Learning, GuidedPath
2 weeks ago
Part-Time Faculty, Computer Science with Machine Learning, GuidedPath
locations
Remote
time type
Part time
job requisition id
R23718
Capella University offers two learning formats, FlexPath and GuidedPath, to provide a flexible and affordable way for working professionals to earn a degree designed to fit into their life.
Our GuidedPath learning format offers asynchronous 10-week courses, with 3 weeks in between each quarter for faculty to grade and prepare for the next quarter. Learners have deadlines to stay on track to review materials, understand topics, and develop consistent study habits. Faculty help learners progress by guiding courseroom discussions and providing feedback on assignments.
Essential Duties & Responsibilities:
Assignments are on an ongoing basis according to expertise and school needs.
Utilize your professional expertise to provide high-quality instruction from a pre-designed curriculum.
Mentor doctoral learners and participate in doctoral committees. Utilize your professional expertise to provide relevant feedback and ensure successful completion.
Be available within 24-48 hours (excluding weekends and holidays) by phone, email, and in the courseroom to ensure learners receive quality feedback in a timely manner to support their academic success.
Travel within the US to participate in doctoral residencies.
Utilize the online learning platform to enrich the learning experience.
Establish high standards and ensure learners understand how they will be evaluated.
Adhere to University policies and procedures.
Attend faculty meetings, workshops, and training as required.
Participate in other activities based on university needs.
Job Skills:
Demonstrated knowledge of academic evaluation.
Effectively communicate with all levels of the University.
Proficiency in oral presentation skills, planning and organizing of course objectives.
Excellent oral and written communication skills.
Demonstrated knowledge of academic technology.
Strong computer skills.
Ability to manage potentially stressful situations in a professional and ethical manner.
Work Experience:
Computer Science background required.
Specialized Knowledge in AI, ML, and Computer Vision: Proficiency in these specific domains, including but not limited to neural networks, deep learning, reinforcement learning, supervised and unsupervised learning, feature extraction, pattern recognition, and image processing techniques.
Proficiency AI and ML languages including Python, R, Java, Swift, Kotlin, Rust, C++ and C#.
Proficiency with ML and AI frameworks and libraries including TensorFlow, PyTorch, and OpenCV.
Working familiarity with Visual Studio.
A strong foundation in mathematics (especially calculus, linear algebra, probability, and statistics) and computer science (algorithms, data structures, complexity theory).
Online higher education teaching experience, or field education experience (teaching, liaison, or supervision), strongly preferred - Use of technology to conduct live class sessions with learners and one on one learner advising, as needed.
Demonstrated commitment to service and practice in the field of computer science.
Experience with curriculum, course development and course revisions preferred.
Education:
All degrees must be conferred and from a regionally accredited institution. Copies of required certificates and licenses and unofficial transcripts for all graduate degrees with the institution and conferred degree and date must be attached.
An earned doctoral degree in Computer Science, or related strongly preferred.
Candidates with a master’s degree in computer science and who can demonstrate at least 5 years of experience in the field will be considered.
Certificates, licenses and registrations:
Candidates who hold certifications specializing in Machine Learning and AI, such as the Tensor Flow Developer's Certificate, are preferred.
Other:
Must be able to travel occasionally should a business need arise. For most roles travel would not be common. Travel may involve plane, car or metro. In accordance with ADA policies, reasonable accommodations regarding travel limitations can be provided. Travel will be more common for roles such as Account Executives (25 - 50%), senior leaders (10 – 20%) or Capella Core Faculty (5 – 10%).
Ability to work onsite in Corporate or Campus location (in a typical office environment) may be required based on role. If so, this would include being mobile within the office, including movement from floor-to-floor using elevators or stairs.
If offsite or hybrid role, must have access to work in setting which enables meeting all requirements of the role (including privacy, reliable internet access, phone, ability to video conference, etc.) at a remote location.
Faculty and Federal Work Study roles require access to work in setting which enables meeting all requirements of the role (including computer, privacy, reliable internet access, phone, ability to video conference, etc.) at a remote location.
This role may require lifting, however reasonable accommodations will be provided in accordance with our ADA policies.
Must be able to meet critical thinking and problem solving aspects aligned to job duties, as well as effectively communicating with co-workers.
Must be able to work more than 40 hours per week when business needs warrant. Accommodations related to schedule may be considered.
Able to access information using a computer.
Other essential functions and marginal job functions are subject to modification.
Capella University Adjunct and Part-Time Faculty are compensated based on the number and type of work assignments offered and accepted in any given quarter.
Capella University GuidedPath Format - The pay for teaching a course range from $500 - $4,000. The average is over $3,000.
Capella University FlexPath Format - The pay for teaching a course range from $125 - $4,000, depending on enrollment and particular program. The average is over $3,000.
The pay for doctoral mentoring assignments is typically $400 per mentee (GuidedPath or FlexPath). Doctoral reviewer assignments start at $200.
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