Assistant/Associate or Full Teaching Professor
University of Missouri - Columbia (MU)
Columbia, MO
Full-time
Education
Posted on April 5, 2024
Job Description
The University of Missouri (MU) Institute for Data Science and Informatics (IDSI) is accepting applications for a non-tenure track (NTT) Teaching Professor (all ranks) of Data Science and Analytics (DSA) in our nationally recognized Fortune top 10 Data Science & Analytics Online Master of Science Degree program (http://dsa.missouri.edu).
Upon hire, this position will be teaching four sections of graduate level data science and analytics focused courses per semester in online and on-campus formats. This position is a 9-month non-tenure track academic faculty appointment at any rank dependent upon reviewed qualifications and experience.
We are seeking interdisciplinary minded data scientists interested in combining academic rigor with industry awareness or collaborative experiences to work in a vibrant environment to educate emerging and working professionals entering the data science workforce. In today's data-driven, information-centric world, data and derived value are becoming an increasingly important criterion for success in organizations, big and small, independent of industry focus. The demand for data scientists in the American workforce is expected to continue to grow at a healthy pace for the next ten years and so is the MU Data Science and Analytics program. The initial responsibilities for this position are 80% teaching, and 20% service.
The responsibilities for this position include:
Teaching online and on-campus sections with course development and improvement.
Student advising and project-centered mentorship.
Curriculum support and academic program enhancement and enrichment.
Program assessment and quality Improvement.
Professional development and engagement.
Qualifications
Ph.D. in Data Science, Data Analytics, Computer Science, Informatics, Applied Statistics, or closely related field by start of appointment is required.
Candidates will be evaluated on
- Their background in teaching data science and analytics using computational tools and methods;
- Experience with various big data computational ecosystems,
- Familiarity with on-line teaching is a plus, along with typical in-seat instruction for on-campus classes.
- Strong expertise in Data Science including proficiency in data analysis, machine learning, statistical modeling, and programming languages, interest in AI and other tools commonly used in Data Science and Analytics (e.g., Python, R, SQL, Jupyter, AWS, GCP, Nautilus Clusters, etc.).
- Online and on-campus teaching experience with a commitment to Graduate DSA education excellence.
- Strong communication and interpersonal skills, with the ability to effectively convey complex concepts and technologies to students and interdisciplinary colleagues with diverse backgrounds and experiences.
- Experience or interest in curriculum development and the ability to design and deliver innovative and engaging courses in Data Science, Analytics, or Artificial Intelligence.
- An emerging or documented track record of scholarly productivity, such as publications in reputable journals or conference proceedings
Please submit with your application a current curriculum vitae, teaching statement and contact information for three references.
Application Deadline
The anticipated start date is as soon as January 1, 2024, but extended until filled or July 1, 2024. This position is onsite at the University of Missouri campus located in Columbia, Missouri.
Other Information
MUIDSI is an interdisciplinary institute engaging with more than 27 different MU academic departments with opportunities for collaborating with the more than 65 faculty and researchers designated as IDSI Core Faculty. We support innovative and collaborative teaching and research efforts.
MU offers a greatpersonal benefitspackage including excellent, affordable health insurance, dental, vision, University-paid life and disability insurance, voluntary coverage, retirement match, and generous parental and caregiver leave, personal and University holidays, sick and vacation time. University employees have access to library resources, fitness facilities, cafeteria, and University events.
Columbia, Mo., (COMO) is known as an ideal college town combining small-town comforts, community spirit with a vibrant economy and low cost of living combined with big-city culture, activities and resources. Home to nationally renowned public schools and other colleges and educational centers, Columbia is packed with fun to visit restaurants and entertainment venues and hosts dozens of annual cultural festivals and events in close proximity. COMO is located half-way between St. Louis and Kansas City, and within an easy driving distance or flight plan to Chicago, Little Rock, Memphis, Minneapolis, and beyond.
The University of Missouri takes pride in driving innovation and the state of Missouri economy through its extensive research and outreach programs which support local families, business owners, farmers, firefighters and police, healthcare providers and its citizens at large. The university annually secures millions of dollars for research via the National Science Foundation and other grantors. It promotes 100's of new inventions and innovations each year and infuses the Missouri economy with an estimated $5B annually. Overall, the University of Missouri positively impacts millions of Missouri residents with its academic and outreach offerings through nationally renowned academic programs in Precision Health & Medicine, Life Sciences, Law, Journalism, Agriculture, Engineering, Veterinary Medicine, Data Science and Analytics, and Interdisciplinary Informatics.
COMO is a great place to live, and MU is a great place to work.
Benefit Eligibility
This position is eligible for University benefits. The University offers a comprehensive benefits package, including medical, dental and vision plans, retirement, and educational fee discounts. For additional information on University benefits, please visit the Faculty & Staff Benefits website athttp://www.umsystem.edu/totalrewards/benefits
Values Commitment
We value the uniqueness of every individual and strive to ensure each person's success. Contributions from individuals with diverse backgrounds, experiences and perspectives promote intellectual pluralism and enable us to achieve the excellence that we seek in learning, research and engagement. This commitment makes our university a better place to work, learn and innovate.
In your application materials, please discuss your experiences and expertise that support these values and enrich our missions of teaching, research and engagement.
Equal Employment Opportunity
The University of Missouri System is an Equal Opportunity Employer. Equal Opportunity is and shall be provided for all employees and applicants for employment on the basis of their demonstrated ability and competence without unlawful discrimination on the basis of their race, color, national origin, ancestry, religion, sex, pregnancy, sexual orientation, gender identity, gender expression, age, disability, or protected veteran status, or any other status protected by applicable state or federal law. This policy applies to all employment decisions including, but not limited to, recruiting, hiring, training, promotions, pay practices, benefits, disciplinary actions and terminations. For more information, visithttps://www.umsystem.edu/ums/hr/eeo.
