Job Details

TTU Post Doctoral Research Associate

Position Number: 6402586
Location: Lubbock, TX
Position Type: Science - Computer Science

TTU Post Doctoral Research Associate
Lubbock
41727BR
Computer Science

Position Description
Performs specialized Post Doctoral work in the planning, conducting and/or supervision of original research. Responsible for participating in a research project associated with PhD studies and the interpretation of the results of publication. Work is performed under supervision of graduate faculty members with evaluation based on accomplishment of assigned objectives and overall effectiveness of project. May supervise research and student assistants.

Major/Essential Functions

Develop an innovative logic-based curriculum for STEM subjects across grades.
Study its impact on students' learning and teachers' teaching.
Utilize logic-structured STEM knowledge, data of student learning, and generative AI to design unprecedented intelligent systems that support students' learning.

Required Qualifications
PhD in area of project specialization. Knowledge of modern research practices, the methods, resources, and standards thereof. Ability to organize work effectively, conceptualize and prioritize objectives and exercise independent judgment based on an understanding of organizational policies and activities. Ability to integrate resources, policies, and information for the determination of procedures, solutions and other outcomes. Ability to establish and maintain effective work relationships with other employees and the public. Ability to plan and allocate the workload of employees, providing direct training and supervision as needed.

Preferred Qualifications

A Ph.D. in Computer Science related or Learning Sciences. For the former, those specializing in areas such as logic-based AI, databases, logic, programming languages, or software engineering are welcome. For the latter, experience with rigorous application to computer science and AI education is a plus.
Significant modeling experience or an evident passion for modeling.
A deep curiosity and enthusiasm for exploring the foundations of AI, Computer Science, and STEM, particularly through the lens of logic in the context of education, and understanding human learning of STEM.
An exceptional work ethic and an open mindset.

Special Instructions to Applicant

Minimum Hire Rate

To apply, visit workattexastech.com

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information or status as a protected veteran.