Available positions may be found here and at the IU Indianapolis Employment website.
Faculty Openings
Tenure Track
Non-Tenure Track
Adjunct Openings
We are always interested in welcoming qualified associate faculty candidates with valuable expertise to offer our students in any of our degree programs. If you offer exceptional skill and talent, have a passion for teaching and hold a master’s degree or greater from an accredited university, please send your resume/CV to LuddyHR@iu.edu. Post-secondary/higher education teaching experience is preferred.
Although we accept inquiries for all academic programs at any time, adjunct faculty openings for which we are currently and actively recruiting will be posted below.
The Department of BioHealth Informatics, seeks Adjunct Faculty with a background in Bioinformatics (BIO) to teach one or more sections of the courses in the BIO Masters program and in the Biomedical (BMI) undergraduate programs.
At this time, we seek applications from individuals who will be able to physically teach the courses here on the IU Indianapolis campus in downtown Indianapolis. There may be additional options to teaching online.
Examples of courses the ideal candidate is expected to teach may include:
- INFO-B419
- INFO-B519
Responsibilities
- Prepare and deliver classroom lectures, assignments, and midterms over a 15-week semester
- Provide students with practical experience through hands-on practices
- Administer assessments of course learning outcomes such as grading assignments and midterms
- Provide after-class support for students, such as holding office hours and responding to student inquires via Canvas, voice calls, or emails
- Encourage student progress and retention
Qualifications
- Master’s or Doctoral degree in Bioinformatics or related areas.
- Deep commitment to student learning and success
- Significant industry experience in the areas of Bioinformatics, including computational genomics, computational proteomics, network/systems biology, and biological knowledge discovery
- Teaching experience in higher education contexts
- Ability to teach classes in-person and online effectively
- Strong organizational, motivational, and communication skills
Adjunct instructor positions are part-time and appointments are made on a semester-by-semester basis. Competitive pay per course is offered based on experience and qualifications.
The Department of Human-Centered Computing, seeks an Associate Faculty to teach the INFO I425 Web Services in Information Systems course. This undergraduate course is offered in the fall and spring semesters. Depending on the enrollment, we also may offer the course during summer sessions.
Course Description
This course examines how cloud computing and service-oriented architecture contribute to solutions for Informatics problems in areas such as business, health care, and life sciences. Students will develop an understanding of why, when, and how organizations utilize Web services to manage data, as well as the skills to design, implement, and deploy Web services applications.
Responsibilities
- Prepare and deliver classroom lectures, assignments and projects over a 15-week semester
- Provide students with practical experience through hands-on practices
- Administer assessments of course learning outcomes, e.g. grading assignments, quizzes and exams
- Provide after-class support for students, e.g. holding office hours and responding to student inquires via voice calls or emails
- Encourage student progress and retention
Qualifications
- Deep commitment to student learning and success
- Master’s degree in a closely related field
- Teaching experience in college or technical training institutes
- Ability to teach classes online effectively
- Significant industry experience and solid technical knowledge in cloud computing, service-oriented architectures, RESTful and SOAP web services
- Excellent proficiency in in one or more programming languages: Java, Python, PHP
The Department of Human-Centered Computing, seeks an Associate Faculty to teach the INFO-H 516 Applied Cloud Computing for Data Intensive Sciences course. This graduate course is offered in the fall and spring semesters. Depending on the enrollment, we also may offer the course during summer sessions.
Course Description
This course examines how computationally intensive cloud computing contribute to solutions for informatics problems in the sciences.
Course Topics
This course includes the following topics:
- Clouds with infrastructure, platform, and software as a service
- Virtualization technologies and tools
- MapReduce and data parallel applications using Apache Spark
- Apache Hadoop Distributed File System
- YARN cluster resource management and Mesos distributed system kernel
- Large-scale data storage: NoSQL databases (Google BigTable and Hadoop HBase) and parallel query processing
- Large-scale machine learning: Classification, regression, and clustering using MLlib
- Spark streaming
- Amazon AWS (EC2 and S3) and its applications
- Exploring large spatiotemporal datasets
Responsibilities
- Prepare and deliver classroom lectures, assignments and projects over a 15-week semester
- Provide students with practical experience through hands-on practices
- Administer assessments of course learning outcomes, e.g., grading assignments, quizzes and projects
- Provide after-class support for students, e.g., holding office hours and responding to student inquires via voice calls or emails
- Encourage student progress and retention
Qualifications
- Deep commitment to student learning and success
- Master’s degree in a closely related field
- Teaching experience in higher education
- Ability to teach classes effectively, both online and face to face
- Experience and solid technical knowledge in cloud computing, including Apache Spark, MLib, and Amazon AWS
- Proficiency in Python
The Department of Human-Centered Computing, seeks an Adjunct Faculty to teach INFO H517 Visualization Design, Analysis, and Evaluation, a course on data visualization. This graduate course is offered in the Spring and/or Fall semester to students in Data Science and Human-Computer Interaction. Depending on the enrollment, we also may offer the course during summer sessions.
Course Description
The course focuses on interactive data visualization and visual analytics. The course covers theoretical topics and practical skills, including human visual perception, visualization design, interaction techniques, and evaluation methods. As part of the course, students develop technical expertise in modern data visualization systems (specifically D3 and Tableau). Students also undertake multi-week projects in which they design, create, and critique their own visualizations.
Responsibilities
- Prepare and deliver online (synchronous or asynchronous) lectures, assignments and projects over a 15-week semester
- Administer assessments of course learning outcomes, e.g. grading assignments, quizzes and exams
- Provide after-class support for students, e.g. holding office hours and responding to student inquires via video calls or emails
- Encourage student progress and retention
Qualifications
- Deep commitment to student learning and success
- Master’s degree in a closely related field, such as Computer Science, Data Science, Human-Computer Interaction, or other related fields.
- Ability to teach classes online effectively
- Proficiency in one or more programming languages such as JavaScript, Python, R, or PHP. Expertise in data visualization systems is a strength.
- Significant industry experience and solid technical knowledge in data visualization systems (e.g., D3, Tableau, PowerBI, Python, R)
The Department of BioHealth Informatics, seeks Adjunct Faculty with a background in Health Informatics (HI) to teach one or more sections of the courses in the HI Masters program and in the Biomedical (BMI) undergraduate programs.
At this time, we seek applications from individuals who will be able to physically teach the courses here on the IU Indianapolis campus in downtown Indianapolis. There may be additional options to teaching online.
Examples of courses the ideal candidate is expected to teach may include:
- INFO-B518
- INFO-I501
Responsibilities
- Prepare and deliver classroom lectures, assignments, and midterms over a 15-week semester
- Provide students with practical experience through hands-on practices
- Administer assessments of course learning outcomes such as grading assignments and midterms
- Provide after-class support for students, such as holding office hours and responding to student inquires via Canvas, voice calls, or emails
- Encourage student progress and retention
Qualifications
- Master’s or Doctoral degree in Health Informatics or related areas.
- Deep commitment to student learning and success
- Significant industry experience in the areas of Health Informatics research and design with a specific experience in programming in python language and/or statistical methods in biomedical sciences
- Teaching experience in higher education contexts
- Ability to teach classes in-person and online effectively
- Strong organizational, motivational, and communication skills
Adjunct instructor positions are part-time and appointments are made on a semester-by-semester basis. Competitive pay per course is offered based on experience and qualifications.
The Department of Human-Centered Computing, seeks Adjunct Faculty with a background in Human-Computer Interaction (HCI) to teach one or more sections of the courses in the HCI Master program and in the HCI undergraduate and graduate certificate programs.
At this time, we seek applications from individuals who will be able to physically teach the courses here on the IU Indianapolis campus in downtown Indianapolis. There may be additional options to teaching online.
Examples of courses the ideal candidate is expected to teach may include:
Responsibilities
- Prepare and deliver classroom lectures, assignments, and midterms over a 15-week semester
- Provide students with practical experience through hands-on practices
- Administer assessments of course learning outcomes such as grading assignments and midterms
- Provide after-class support for students, such as holding office hours and responding to student inquires via Canvas, voice calls, or emails
- Encourage student progress and retention
Qualifications
- Master’s or Doctoral degree in HCI, Human-Factors, Interaction Design or related areas.
- Deep commitment to student learning and success
- Significant industry experience in the areas of HCI/UX research and/or design
- Teaching experience in higher education contexts
- Ability to teach classes in-person and online effectively
- Strong organizational, motivational, and communication skills
Adjunct instructor positions are part-time and appointments are made on a semester-by-semester basis. Competitive pay per course is offered based on experience and qualifications.
The Department of Human-Centered Computing, seeks Associate Faculty to teach one or more sections of the INFO-I 223 Data Fluency or INFO-I 421 Applications of Data Mining courses. These undergraduate courses are offered in the fall and spring semesters. Depending on the enrollment, we may also offer the courses during summer sessions. Some sections of the courses are taught online; other sections are taught in person on the campus of IU Indianapolis. At this time, we seek applications from individuals who will be able to physically teach the courses here on the IU campus in downtown Indianapolis.
Course Description
The Data Fluency course introduces fundamental skills for extracting from data actionable knowledge. Students create, munge, analyze, and visualize data to draw inferences and make predictions. The course uses real datasets from a variety of disciplines.
The Data Mining course explores the use of data mining techniques in different settings, including business and scientific domains. The course covers several basic learning algorithms, such as regression and decision trees, along with popular data types, implementation and execution, and analysis of results. The emphasis is on using existing techniques instead of developing new techniques or algorithms. Students will select, prepare, visualize, analyze, and present data that leads to the discovery of novel and actionable information.
Responsibilities
- Prepare and deliver classroom lectures, assignments and projects over a 15-week semester
- Provide students with practical experience through hands-on practices
- Administer assessments of course learning outcomes, e.g., grading assignments, quizzes and exams
- Provide after-class support for students, e.g., holding office hours and responding to student inquires via voice calls or emails
- Encourage student progress and retention
Qualifications
- Deep commitment to student learning and success
- Master’s degree in a closely related field
- Teaching experience in college or technical training institutes
- Ability to teach classes online effectively
- Significant industry experience and solid technical knowledge in data mining techniques, applications, and tools and data analytics
- Excellent proficiency in Python (INFO-I 223) or R (INFO-I 421) programming
- Strong organizational, motivational, and communication skills
The Department of Human-Centered Computing, seeks Adjunct Faculty with a background in inferential statistics in R to teach one or more sections of the INFO-H 502 Human-Centered Research Methods course. This graduate course is usually offered in the spring semester. This course is only taught in-person on the campus of IUPUI. At this time, we seek applications from individuals who will be able to physically teach the courses here on the IU campus in downtown Indianapolis.
Human-Centered Research Methods Description
This course surveys a broad range of quantitative research methods employed in data science, exploring their metatheoretical underpinnings and exemplifying their application to specific research questions. This course covers computational data analysis used in statistics, including sampling, study design, descriptive statistics, probability, statistical distributions, estimation, hypothesis testing, chi-square tests, t-tests, analysis of variance, linear regression, and correlation. Problems in statistics are solved by means of programming.
Responsibilities
- Prepare and deliver classroom lectures, assignments, and midterms over a 15-week semester
- Provide students with practical experience through hands-on practices
- Administer assessments of course learning outcomes such as grading assignments and midterms
- Provide after-class support for students, such as holding office hours and responding to student inquires via Canvas, voice calls, or emails
- Encourage student progress and retention
Qualifications
- Deep commitment to student learning and success
- Master’s degree in statistics or a related field
- Experience with the R statistical computing environment
- Teaching experience in college or technical training institutes
- Ability to teach classes online effectively
- Strong organizational, motivational, and communication skills
The Department of Human-Centered Computing, seeks Associate (a.k.a., adjunct) Faculty to teach one or more sections of the INFO-H 611 Mathematical and Logical Foundations of Informatics course. This graduate course is usually offered in the fall semester. This course is only taught in-person on the campus of IU Indianapolis. At this time, we seek applications from individuals who will be able to physically teach the courses here on the IU campus in downtown Indianapolis.
Mathematical and Logical Foundations of Informatics Course Description
This course reviews mathematical methods for data modeling, analysis, and manipulation. Topics include differential calculus, partial derivatives, exponential, logarithmic, and inverse functions, solving systems of equations, matrices and matrix operations, vector spaces, linear transformations, determinants, inner product spaces, eigenvalues, probability, probability distributions, random variables, and their applications.
Responsibilities
- Prepare and deliver classroom lectures, assignments, and midterms over a 15-week semester
- Provide students with practical experience through hands-on practices
- Administer assessments of course learning outcomes such as grading assignments and midterms
- Provide after-class support for students, such as holding office hours and responding to student inquires via Canvas, voice calls, or emails
- Encourage student progress and retention
Qualifications
- Deep commitment to student learning and success
- Master’s degree in a closely related field
- Teaching experience in college or technical training institutes
- Ability to teach classes online effectively
- Strong organizational, motivational, and communication skills
The Department of Human-Centered Computing, seeks an Adjunct Instructor to teach one or more sections of the NEWM-N102 Digital Media Imagery course. This undergraduate course is offered in the fall and spring semesters. Depending on the enrollment, we may also offer the course during summer sessions. Some sections of the course are taught online; other sections are taught in person on the campus of IU Indianapolis. At this time, we seek applications from individuals who will be able to physically teach the courses here on the IU campus in downtown Indianapolis.
Course Description
The Digital Media Imagery course is a hands-on introduction to the basic tools used in industry for the creation, editing, manipulation, and uses of 2D raster and vector graphics. Other topics include the integration of imagery into a personal Web site.
Responsibilities
- Prepare and deliver classroom lectures, assignments and projects over a 15-week semester
- Provide students with practical experience through hands-on practices
- Administer assessments of course learning outcomes, e.g., grading assignments, quizzes and exams
- Provide after-class support for students, e.g., holding office hours and responding to student inquires via voice calls or emails
- Encourage student progress and retention
Qualifications
- Deep commitment to student learning and success
- Master’s degree in a closely related field
- Teaching experience in college or technical training institutes
- Ability to teach classes in-person and online effectively
- Significant industry experience and solid technical knowledge in digital media imaging, and digital media design.
- Excellent proficiency in Photoshop, Illustrator and digital media imagery editing tools
- Strong organizational, motivational, and communication skills
Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment without regard to age, ethnicity, color, race,religion, sex, sexual orientation, gender identity or expression, genetic information, marital status, national origin, disability status or protected veteran status. Indiana University does not discriminate on the basis of sexin its educational programs and activities, including employment and admission, as required by Title IX. Questions or complaints regarding Title IX may be referred to the U.S. Department of Education Office for Civil Rights or the university Title IX Coordinator. See Indiana University’s Notice of Non-Discrimination.