Hi everyone,
Happy New Year! The Heinz College of Information Systems and Public Policy at Carnegie Mellon University is seeking qualified candidates for the open positions of:
The role of Assistant Teaching Professor of Database and Data Science is essential in preparing our students to lead through intelligent decision making and action. This position will be responsible for developing and delivering classes that prepare Heinz graduate students in database and data analytic methods. We are in search of a colleague who is excited about teaching and helping students learn. Specific job responsibilities include developing, preparing, and teaching Introductory and advanced-level graduate courses in database systems, data management, and data analytics.
We are specifically interested in candidates with expertise in traditional and emerging database systems and at least one field in data science, such as big data technologies and algorithms, applied machine learning, visualizing and communicating data, large scale and unstructured data analytics, cloud computing, and/or data-driven modeling and prediction.
The desired set of skills include:
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- Ability to develop and deliver relevant coursework in Database Management, Structured Query Language (SQL), Data Governance, and the Data Analysis Pipeline
- A strong understanding of relational and non relational data modeling concepts including experience with unstructured and dynamic data.
- Experience in integrating heterogeneous data sets including data acquisition, cleaning, and staging. A clear understanding of ETLs and their applications.
- Ability to conceptualize, structure, and oversee analytics projects
- Ability to develop relevant coursework in emerging trends in evidence-based management
- Background in teaching or working in/with academia highly preferred
The Teaching Track at Carnegie Mellon is a career-oriented, non-tenure, faculty track with renewable fixed terms and opportunities for promotion from Assistant to Full Teaching Professor. Faculty on the teaching track at Heinz College are expected to teach an effective teaching load of 72 units, the equivalent of six full-semester length classes or twelve half-semester length classes (minis) per academic year. This position emphasizes teaching, student advising, curriculum development, and supervising collaborative projects. Teaching Track faculty serve on committees alongside other faculty at the College and University levels. The Track is ideal for candidates who love to teach and mentor students. This position has a fall 2022 anticipated start date.
This position will be responsible for developing and delivering classes and experiential learning opportunities in data science for CMU master's students as well as select undergraduate students. In addition to teaching, we expect the candidate to play an active role in advising students, supporting curricular advancement, and directing projects, clubs, and competitions.
Specifically, we are looking for candidates with a strong background in the application of analytics. Someone with an understanding of current data science techniques and tools, rooted in ethical data science practices. We are especially interested in candidates who share a passion for data-informed management for social good and an understanding of risks, trade-offs, and implications.
The desired set of skills include:
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- Ability to develop and deliver relevant coursework in multiple aspects of the data analytics domain
- Ability to identify, stage, and oversee analytics projects with significant student and partner interaction
- Strong project management and client management skills
- Experience working with large datasets and complex problems in high impact organizations
- Domain expertise in one or more of the programmatic areas of Heinz College (Technology, Security, Policy, Healthcare, Arts & Entertainment) preferred
- Background in teaching or working in/with academia highly preferred
The Teaching Track at Carnegie Mellon is a career-oriented, non-tenure, faculty track with renewable fixed terms reviewed every three years. There is an expectation that this person will serve on committees alongside other faculty at the College and University levels. This position is ideal for candidates who love to teach and mentor students. This position has a fall 2022 anticipated start date.
Additional positions in Information Systems:
- Assistant Teaching Professor in Information Systems
Carnegie Mellon University in Qatar (CMUQ) seeks applicants for a teaching-track position in Information Systems (IS) beginning in Fall, 2022. This is a career-oriented, renewable appointment with primary responsibility for teaching and making scholarly contributions to the educational mission of the Information Systems program.
The Information Systems Program at Carnegie Mellon University in Qatar offers an undergraduate major which aims to educate students to meet the increasing demand for Information Systems talent in Qatar, the Gulf region, and globally.
Please feel free to contact me (Gabriela Gongora-Svartzman -
ggongora@cmu.edu) if you have any questions.
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Gabriela Gongora-Svartzman, Ph.D.
Assistant Teaching Professor
Information Systems Program
Heinz College and Dietrich College
Carnegie Mellon University
Email:
ggongora@cmu.edu------------------------------