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Assistant, Associate or Full Professor, Learning Sciences

Position Information

Position Details

Position Number 30225
Class Title Assistant, Associate or Full Professor, Learning Sciences
Administrative Title No Administrative Function
Job Description

The University of Central Florida’s (UCF) Faculty Cluster Initiative leverages our existing strengths and fosters the development of strong, interdisciplinary teams focused on solving today’s toughest scientific and societal challenges through teaching and research. As one of America’s largest and most innovative universities, we encourage you to learn more about the Faculty Cluster Initiative at

In support of this effort, we are recruiting faculty in the Learning Sciences with a special interest in the nexus of human learning and machine learning ( The Learning Sciences cluster is a partnership between the College of Education and Human Performance and the College of Engineering and Computer Science and will evolve to include all UCF units as well as local K-12 school and area two-year colleges.

The successful candidates will join a large team focused on the integration of transdisciplinary knowledge regarding ways in which big data can inform machine learning algorithms to create more effective personalized learning environments for students of all ages and abilities. Specifically we seek to understand how systems (e.g., users, tools, data, analysis, visualization), interfaces (e.g., natural language, speech, vocalization, vision, gesture, agents, robotics), and cognition (e.g., memory, emotion, curiosity, pattern-recognition, problem solving, decision making), interact in ways that improve students’ academic, behavioral, and social outcomes through personalized learning (e.g., recommendation systems, virtual/augmented/mixed reality, self- and guided-reflection, growth curves, learning pathways, reinforcement, remediation). A broad range of perspectives and research paradigms are used to conduct basic and applied research relative to cognition; the nature of learning; physical, social, and cultural context; learning environments, instructional materials, and systems; the conditions impacting memory, thinking, reflection, problem solving and performance in novice to expert learners; the ways knowledge is represented through machine learning, artificial intelligence, and knowledge engineering; and learner analytics generating meaningful data about student performance, accomplishment, and optimal pathways through knowledge bases and curricula that improve efficacy and reduce time.

Four positions are available. We plan to hire three tenure-track assistant professors and one tenured associate or full professor. Assistant professor candidates must be able to effectively facilitate new and existing research collaborations and have strong potential to secure extramural funding. Senior faculty candidates must also have a proven record of research funding and high impact publications, and demonstrate a strategic vision for how interdisciplinary research and development has the potential to transform learning as we gain new understanding about how humans learn and how machines learn. We anticipate that the successful candidates will have broad interests in learning, research, development, and innovation that span age/grade levels and content domains.

We seek candidates with expertise in any of the following areas:

• learning standards, curriculum, instruction (PreK – 20), performance assessment, gaming, learning analytics;
• cognition, learning theory, interface design, user testing, personalized learning;
• systems for gathering big data, data mining methodologies, recommendation algorithms, data visualization; and
• knowledge representation, supervised and unsupervised machine learning approaches, decision making, complex systems, signal processing, parallel and cloud computation, natural language processing, robotics, speech, vision.

Given our interests in collaboration and innovation, each candidate is advised that the on-campus interview process will involve a group interview that will engage finalists for the position. Applications are being evaluated on a rolling basis and interview dates will be communicated to invited candidates at the earliest possible time to coordinate travel.

The successful candidates will be expected to strengthen both the cluster and their chosen tenure home department; successful candidates will be able to choose a tenure home and are encouraged to seek secondary appointments with other units where appropriate. Startup support will be provided with each position. We enthusiastically look forward to the start date for each position on August 8, 2018.

UCF is one of the nation’s largest universities with a diverse student body of more than 66,000 students and has grown substantially in size, quality, diversity, and reputation in its first 50 years. Today, the university offers more than 200 degree programs at its main campus in Orlando. UCF is an economic engine, attracting and supporting industries vital to the region’s future while providing students with real-world experiences that help them succeed after graduation. UCF’s Orlando location also puts it at the center of the Florida High Tech Corridor. The corridor has an excellent industrial base that includes healthcare, software, defense, space, simulation and training, and a world-renowned entertainment industry. Adjacent to UCF is a thriving research park that conducts over $2 billion in funded research, hosting more than 100 high-technology companies and UCF’s Institute for Simulation and Training. The Central Florida area is designated by the state of Florida as the Center of Excellence in Modeling and Simulation. UCF also has an accredited medical school, which was established in 2006, and is a neighbor to large corporations, such as Disney, Harris Corporation, Lockheed Martin, Siemens, and many others. Great weather, easy access to the seashore, one of the largest convention centers in the nation, and one of the world’s best airports are just a few features that make Orlando an ideal location.

Position Minimum Qualifications

• A Ph.D. from an accredited institution in an area appropriate to the cluster at the time of appointment along with relevant teaching experience.

• Assistant professor candidates must have expertise in one or more relevant disciplines, demonstrate experience in building new or extending existing research collaborations, and have strong potential to secure extramural funding.

• Applicants at the associate or full professor rank must have a proven record of interdisciplinary collaboration, research funding, and high impact publications with expertise in two or more relevant disciplines. In order to obtain tenure, the selected candidate must have a demonstrated record of teaching, research, and service commensurate with rank in the tenure granting department.

• Candidates must demonstrate appropriate technical skills to support relevant research and development relative to the nexus of human learning (e.g., cognition, personalized learning, learning analytics) and machine learning (e.g., neural networks, interface design, databases, sensors, statistical analysis, visualization).


We are looking to form a diverse and inclusive group of interdisciplinary thinkers with novel ideas and a passion for learning to help distinguish the UCF Learning Sciences cluster. Strongly preferred qualifications include:

• Candidates with a history of working with teams, especially teams that span multiple disciplines.

• Candidates with exceptional technical skills.

Special Conditions

Applicants for this position will also be considered for assistant, associate or full professor position number 30219, 30220, and 30230.

Equal Employment Opportunity Employer

As an equal opportunity/affirmative action employer, UCF encourages all qualified applicants to apply, including women, veterans, individuals with disabilities, and members of traditionally underrepresented populations. UCF's Equal Opportunity Statement can be viewed at: As a Florida public university, UCF makes all application materials and selection procedures available to the public upon request.

Additional Application Materials Required

UCF requires all applications and supporting documents to be submitted electronically through the Human Resources website, In addition to the online application, interested candidates must attach the following materials to their application:
1) a complete curriculum vitae,
2) a cover letter,
3) a research statement and summary of technical skills,
4) three publication reprints, and
5) a list of names and contact information for at least 3 professional references (please include email addresses).

Note: Please have all documents ready when applying so they can be attached at that time. Once the online submission process is finalized, the system does not allow applicants to submit additional documents at a later date.

Review of applications will begin immediately and continue until the positions are filled.

Questions regarding this search can be directed to Learning Science Cluster Leads Dr. Dave Edyburn ( or Dr. Charles Hughes (

FTE 1.0-Full-Time
Requisition Number 701209
Job Open Date 12/15/2017
Job Close Date
Open until filled Yes
Division Academic Affairs
College/Area Faculty Cluster Initiative
Department FCI- Learning Sciences
Annual Salary Negotiable
Type of Appointment Regular
Job Category Faculty
Work Location Orlando (Main)
Quick Link

Supplemental Questions

Required fields are indicated with an asterisk (*).

  1. * Please indicate your desire tenure home(s)

    (Open Ended Question)

  2. * Please indicate the department(s), if any, in which you would like to have a joint appointment.

    (Open Ended Question)

Optional & Required Documents

Required Documents
  1. Curriculum Vitae/Resume
  2. Cover Letter
  3. Research Statement
  4. Other Doc 1
  5. Other Doc 2
Optional Documents
  1. Other Doc 3
  2. Other Doc 4
  3. Other Doc5
  4. Other Doc 6
  5. Other Doc 7
  6. Teaching Statement