Career Opportunities

Who We Are

Academic Innovation is a strategic priority for the University of Michigan. Through curricular innovation, educational data and research, and tools for learning, Academic Innovation aims to shape the future of learning and redefine public residential education at a 21st century research university by unlocking new opportunities for the University of Michigan community and learners around the world. University of Michigan has over 100 grad programs in the top 10, over 260 degree programs, more than 540,000 alumni worldwide and is the #1 public research university in the US (U-M Facts & Figures).

Who You Are

You are an intellectually curious, creative problem solver. You lead by listening, by collaborating, and by encouraging. You challenge yourself and your collaborators to think about risk while identifying pathways to maximize impact and enable excellence. You have experience taking an initial concept and helping an organization and community to realize its potential.

The Center for Academic Innovation (CAI) is offering a Winter 2020 fellowship opportunity that is available to all University of Michigan undergraduates and graduate students. You can read more about CAI and its guiding principles by visiting ai.umich.edu 

Who we’re looking for:

We’re looking for a collaborative, driven, and creative fellow to help us create community and build infrastructure for Extended Reality experiences built at the University of Michigan. Our team has an exciting opportunity to make a major impact on teaching and learning with this immersive technology, and we’re looking or a talented student who wants to help us take them even further.

Duties:

This fellowship will focus on expanding awareness of the XR Initiative and promoting the XR Speaker Series as well as the XR Summit on 4/14/2020. You’ll have the opportunity to participate in tasks such as:

    • Market research for XR software development processes
    • Crafting marketing strategy to build awareness for XR Initiative with faculty, students, and staff
    • Developing plans for XR Summit
    • Identifying processes to engage students in XR Development
    • Building stakeholder decks for the XR Initiative

 

  • Additional tasks will depend on your areas of strength

General requirements for the fellow include:

  • Self motivated and takes pride in quality of work
  • Works well independently and as part of a multicultural and collaborative environment
  • Works well in an environment with rapidly changing requirements and priorities
  • Strong attention to detail
  • Strong analytical and problem solving skills
  • Strong written and verbal communication skills

Educational Value

Get experience working in a dynamic, fast-paced team environment that shares a lot in common with a tech startup. Develop presentation skills as you share your work with our internal teams. Work alongside business and technology professionals who have experience in a variety of areas including startups, software development, design, branding, research, and academia.

Specific requirements for this fellowship are as follows:

Required Qualifications:

  • Degree or experience in business administration, informatics, education, entrepreneurship, marketing, engineering, or a related field
  • Willingness to take on unfamiliar, complex tasks and give them your best shot (that’s all we ask!)
  • Experience conducting market research or related analyses
  • Ability to promote awareness for events and activities via various technical solutions
  • Ability to distill complex research results into actionable insights
  • Interest in Extended Reality

Desired Qualifications:

  • Experience with business development, especially at a startup
  • Experience with pricing strategy
  • Ability to recognize creative marketing and expansion opportunities for software
  • Experience conducting market research for software
  • Interest in educational technology

Hours: 10-15 hours per week (Flexible)

Start Date: Flexible

End Date: Flexible with possibility of continuing into the summer and the following semester 

Contact

If you are interested, please contact Marissa Reid at reidma@umich.edu and provide a copy of your resume and any other materials you would like us to consider.

The Center for Academic Innovation (CAI) is hiring a research fellow. What is AI? AI is charged with creating a culture of innovation in learning. As a catalyst for academic innovation we aim to shape the future of learning and redefine public residential education at a 21st-century research university by unlocking new opportunities and enabling personalized, engaged, and lifelong learning for the U-M community and learners around the world (Read more about AI).  

Since its inception, over 40,000 students have interacted with an AI-supported tool in some way. Additionally, there have been nearly 7 million enrollments in our online learning experiences.  We’re looking for a graduate student who is independent, detail-oriented, and reliable to help us analyze and draw inference from user behavior and survey data to complement our research capabilities and ultimately improve the learning experiences we produce. With this analysis in hand, this fellow will assist in the design and execution of a series of focus groups to learn more about student experiences and needs in advising contexts. Finally, the student will assist in the design and deployment of a survey to draw out feedback from a broad range of students regarding advising at U-M. 

Responsibilities

  • Interpret and analyze data from various sources that will suggest conclusions and support decision-making within the AI portfolio. 
  • Apply the best available techniques to the task of drawing inference from data to support AI research interests 
  • Prepare and present reports and findings to collaborators and coworkers.
  • Co-design a survey on student advising experience
  • Co-design a focus group to learn about students’ advising experience

Required Qualifications

  • Currently pursuing a master’s degree, or PhD in data science, education statistics, informatics, econometrics, or a related field.
  • Significant data analytics experience with an open-source programming language (R, Python, etc.). 
  • Experience working with and cleaning large, dense datasets in CSV format.
  • Knowledge of, and experience with, various statistical analysis techniques, such as analyses of variance, factor analyses, linear and hierarchical modeling, etc. 
  • Demonstrated ability to be self-directed and work independently or as part of a rapidly changing, multidisciplinary, multicultural, and collaborative environment.

Desired Qualifications

  • Experience creating data visualizations for a non-statistical audience. 
  • Experience with Jupyter Notebook and the Python package pandas.
  • Experience creating surveys
  • Experience designing focus groups
  • Experience running focus groups

Hours 

10 to 15 hours per week 

Contact 

Send a cover letter and resume to reidma@umich.edu. (Please add “Research Fellow” to your subject line.)

The Office of Academic Innovation (AI) is offering a Summer 2020 fellowship opportunity that is available to University of Michigan undergraduates and graduate students. You can read more about AI and its guiding principles by visiting ai.umich.edu.

Who we’re looking for

We’re looking for well-rounded, driven and flexible fellows to help us design and develop digital applications that enhance the residential education experience and facilitate engaged and personalized learning at the University of Michigan.

Duties:

The fellowship will involve playing an active role in the AI software development team. Software Development Fellows will implement designs and create and test software across the development stack (from database to server-side code to front-end user interfaces). 

General requirements for all our fellows include:

  • Working well independently in a multicultural and collaborative environment
  • Working well in an environment with rapidly changing requirements and priorities
  • Strong attention to detail
  • Strong written and verbal communication skills

Specific requirements for the software development fellowship are as follows:

Required Qualifications:

  • Degree or experience in computer science, computer engineering, or related field 
  • Demonstrable experience with one or more object oriented programming languages

Desired Qualifications:

  • Experience with
    • Python, Ruby or a similar programming language
    • Django / Flask, Ruby on Rails or similar web frameworks
    • JavaScript (ES6 preferred) and related libraries and frameworks (e.g. Vue.js)
    • HTML5 + CSS, LESS or SASS 
    • MySQL or similar relational database software
    • Git VCS

Hours:

40 hours per week (flexible hours)

Start Date:

April/May 2020

End Date:

August 2020 with possibility of continuing into the Fall

Deadline for Applications:

February 2020

Deadline for Applications:

If you are interested, please contact reidma@umich.edu  and provide a copy of your resume, portfolio link, and any other materials you would like us to consider.

The Center for Academic Innovation (AI) is offering a Summer 2020 fellowship opportunity in User Experience Design (UX), available to University of Michigan undergraduate and graduate students. You can read more about AI and its guiding principles by visiting ai.umich.edu.

Who we’re looking for

We’re looking for a well-rounded, innovative, responsible, driven, flexible student to help us design and develop digital applications that enhance the residential education experience and facilitate engaged, personalized learning at the University of Michigan.

Duties

The UX fellowship will involve improving the usability of existing AI tools and designing the experience of new products. Fellows in this role will have the opportunity to conduct user research and assist with UI design, rapid prototyping, and web-based tool development.

General requirements for the fellow include:

  • Working well independently and as part of a multicultural and collaborative environment
  • Working well in an environment with rapidly changing requirements and priorities
  • Strong attention to detail
  • Strong written and verbal communication skills

Job Function

User Experience

Required Qualifications:

  • Degree or experience in Human Computer Interaction, UX, computer science, or related fields
  • Strong portfolio with high quality ideation and design
  • Excellent visual design skills
  • Experience with HTML and CSS

Desired Qualifications:

Experience with:

  • University research projects
  • Designing and conducting usability tests
  • Wireframing and prototyping software (Sketch, Axure, Balsamiq, Adobe CS, Invision)
  • JavaScript and frameworks such as JQuery and VueJS

Hours:

40 hours per week (flexible hours)

Start Date:

May 2020

End Date:

August 2020 with possibility of continuing into the Fall

Deadline for Applications:

February 2020

Contact:

If you are interested, please contact reidma@umich.edu and provide a copy of your resume, portfolio link, and any other materials you would like us to consider.

The Center for Academic Innovation (AI) is offering a limited number of Summer 2020 fellowship opportunities in User Experience Research (UX Research), available to University of Michigan undergraduate and graduate students. You can read more about AI and its guiding principles by visiting ai.umich.edu.

Who we’re looking for

We’re looking for well-rounded, innovative, responsible, driven, flexible fellows to help us conduct user/learner research and usability tests for our digital applications and online learning experiences. Some of these applications enhance the residential education experience and facilitate engaged, personalized learning at the University of Michigan, while others pertain more to online learning outside of campus.

Duties

The UX Research fellowship will involve improving the usability of existing AI tools, investigating user needs for potential new projects or features, and exploring potential learner interests and needs in relation to online learning experiences. Fellows in this role will have the opportunity to apply a variety of methods in conducting user research, assist with rapid prototyping, and synthesize findings that translate into real improvements to AI’s portfolio of projects.

General requirements for the fellow include:

  • Work well independently and as part of a multicultural and collaborative environment
  • Working well in an environment with rapidly changing requirements and priorities
  • Strong attention to detail
  • Strong written and verbal communication skills

Job Function

User Experience Research

Required Qualifications:

  • Experience in user research methods, such as survey design, informational interviewing, contextual inquiry, affinity wall diagraming, focus group facilitation, usability testing, experience presenting findings to a variety of stakeholders
  • Strong portfolio with a high-quality demonstration of research techniques, analysis and reporting out

Desired Qualifications:

Experience with:

  • University research projects
  • Designing and conducting usability tests
  • Drafting interview protocols and conducting interviews
  • Producing concise reports to share findings
  • Quantitative and qualitative data synthesis skills

Hours:

40 hr/wk 

Start Date:

flexible

End Date:

June with the possibility of continuing into the fall semester (at reduced hours)

Deadline for Applications:

February 2020

Contact:

If you are interested, please contact reidma@umich.edu  and provide a copy of your resume, portfolio link, and any other materials you would like us to consider.

The Center for Academic Innovation (AI) is hiring a data science fellow. What is AI? AI is charged with creating a culture of innovation in learning. As a catalyst for academic innovation we aim to shape the future of learning and redefine public residential education at a 21st century research university by unlocking new opportunities and enabling personalized, engaged, and lifelong learning for the U-M community and learners around the world (Read more about AI).  

Since its inception, over 40,000 students have interacted with an AI-supported tool in some way. Additionally, there have been nearly 7 million enrollments in our online learning experiences.  We’re looking for a rising senior or graduate student who is independent, detail-oriented, and reliable to help us analyze and draw inference from user behavior to complement our research capabilities and ultimately improve the learning experiences we produce. 

Responsibilities

  • Interpret and analyze data from various sources that will suggest conclusions and support decision-making within the AI portfolio. 
  • Apply the best available techniques to the task of drawing inference from data to support AI research interests 
  • Prepare and present reports and findings to collaborators and coworkers.

Required Qualifications

  • Currently pursuing a bachelor’s degree, master’s degree, or PhD in data science, education statistics, informatics, econometrics, or a related field.
  • Significant data analytics experience with an open-source programming language (R, Python, etc.). 
  • Experience working with and cleaning large, dense datasets in CSV format.
  • Knowledge of, and experience with, various statistical analysis techniques, such as analyses of variance, factor analyses, linear and hierarchical modeling, etc. 
  • Demonstrated ability to be self-directed and work independently or as part of a rapidly changing, multidisciplinary, multicultural, and collaborative environment.

Desired Qualifications

  • Experience creating data visualizations for a non-statistical audience. 
  • Experience with Jupyter Notebook and the Python package pandas.

Hours:

40 hours per week (flexible hours)

Start Date:

May 2020

End Date:

August 2020 with possibility of continuing into the Fall

Deadline for Applications:

February 2020

Contact:

If you are interested, please contact reidma@umich.edu and provide a copy of your resume, portfolio link, and any other materials you would like us to consider.

The Center for Academic Innovation (AI) is offering a Summer 2020 fellowship opportunity that is available to University of Michigan undergraduates and graduate students. Through curricular innovation, leadership in learning analytics, and personalization at scale, AI aims to shape the future of learning and redefine public residential education at a 21st century research university by unlocking new opportunities for the U-M community and learners around the world. You can learn more about AI and its guiding principles by visiting ai.umich.edu.

Who we’re looking for

We’re looking for well-rounded, driven, and flexible Media Design Fellows to help us produce media content that enhances online and residential learning experiences. Media Design Fellows support various multimedia projects, with a particular focus on videography and editing. Students of all disciplines are welcome to apply, as we offer on-site training around our specific production workflows.

Duties

This fellowship provides an opportunity for selected candidate(s) to develop extensive foundational knowledge of media technology and related equipment, software, and systems. Additionally, the fellows will have opportunities to build new media design skills, hone their existing skills through the quality control process, and assist with research surrounding media tools and technology. Fellows will assist the AI Media Design team with the following tasks:

  • Video and audio capture, including studio production and live (streaming) production
  • Video post-production, including editing, compositing, and color correction
  • Production of motion graphics, animations, visual effects, 3D models, and virtual environments
  • Audio post-production, including restoration, mixing, and mastering
  • Troubleshooting and maintenance of media technology and other related technological infrastructure

Required Qualifications  

  • Excellent organizational and communication skills
  • Experience shooting and editing video
  • Technical aptitude and working knowledge of fundamental video and audio technology
  • Comfort with Apple computers and operating systems
  • Outstanding attention to detail and demonstrated ability to work independently, coupled with a passion for learning and professional growth

Desired Qualifications

  • Extensive knowledge of media technology standards, formats, tools, and techniques
  • Experience mixing and mastering digital audio (Logic, Pro Tools, Ableton)
  • Working understanding of online educational media landscape

Hours: 40 hours per week preferred; schedule is flexible 

Start Date: May 2020

End Date: TBD

If you are interested in this fellowship, please contact Marissa Reid (reidma@umich.edu) and provide a copy of your resume, portfolio link, and any other materials you would like us to consider.

Working in the Center for Academic Innovation means you’re a part of a diverse team with many values to guide our continued growth and success.

We value boldness and humility.

Boldness generates new solutions to emerging and age-old problems. Humility ensures we respect and learn from previous efforts and listen to all stakeholders when designing solutions.

We value creativity and process.

Although some may see creativity as anathema to process, we recognize that disciplined processes allow and are necessary for creativity. Effective design management supports a culture of creativity and innovation in learning.

We value risk taking and tradition.

Universities are at their best when they balance the creation of new ideas, technologies, and forms of expression with the protection of cultural heritage and knowledge. In designing elegant solutions to problems in higher education, we see value in taking thoughtful risks in order to question the present and position for the future while honoring our past.

We value personalization and scale.

One-on-one models of education are highly effective, but have, historically, not been scaleable. We aim to create effective tools, pedagogies, and learning experiences that meet the diverse needs of each learner regardless of the scale of the effort

We value openness.

As part of a public research university, we prioritize serving our local, state, and global communities rather than our own interests. When given the choice, our work products will be fully available for other organizations and individuals to learn from, reuse, and remix.

Working for the University of Michigan also means a competitive benefits package including a variety of health and wellness programs.

Why Should You Live Here?

“Ann Arbor is many things, including a bustling university town, culinary hotspot, and a tech hub with a walkable downtown that includes world-class arts and culture…Ann Arbor lies at the center of a greater collection of communities in Washtenaw County. With so many thriving communities nearby, Ann Arbor has become a cultural melting pot and urban oasis.”

– Annarbor.org

At the Center for Academic Innovation, we believe your growth makes our team stronger and our mission achievable. That is why we provide dedicated time for professional development, opportunities to work across domains, and funding to deepen your knowledge and expand your skills.

The University of Michigan recognizes that people are our most important resource for sustaining excellent teaching, research and service. To enhance the ability of staff members to contribute to their departments and to provide career satisfaction for productive employees, the University is committed to supporting ongoing staff development for any staff member. Staff development is defined as growth in an individual’s knowledge, skill, and personal effectiveness.

A University goal is for all staff members to make the maximum contribution to their departments, while having opportunities to develop their talents, to acquire and use new skills, and thus to achieve greater career effectiveness and satisfaction. Career development opportunities include mentoring as well as informal and formal training.

For more information visit: https://hr.umich.edu/working-u-m