Description:

Provides expertise in support of research projects in engineering, biology, mathematics, statistics, computer science, physics, etc. Prepares and edits research papers, proposal, and reports. Performs advanced testing procedures and analyses of data. May prepare samples for testing. Performs advanced testing procedure and performs analyses of data. Makes uses of a variety of specialized equipment typical within area of specialization. May contribute to grant proposal development. Ensures experiments are performed according to specifications. May make recommendations to changes in procedure, processes, or experimental design. Possesses, understands, and applies an advanced knowledge of a professional natural, physical, or engineering field or multiple fields of specialization to develop unique and new approaches or ideas. Understands and uses research tools and equipment and utilizes effective management techniques.

1. Plans and conducts research in one or more large and complex areas of specialization.
2. Reviews progress of projects. May liaison with other areas of specialization to obtain support or technical expertise for projects.
3. Defines procedures or processes to be used in the experimental processes.
4. May personally conduct important and/or technically complex investigations.
5. Operates with considerable latitude for unreviewed action.
6. Reviews and evaluates the effectiveness of personnel.

Additional Posting Information: 
We are seeking a researcher with interest and experience in computational and machine learning approaches for use in the quantitative measurement of human learning and its associated behaviors and motivational constructs. A strong applicant will hold Ph.D. in computer science or a related field and will have prior experience collaborating with large, interdisciplinary teams. The candidate will be a strong self-starter who is capable of both working independently and of mentoring graduate students. This candidate should have experience with both human learning data as well as with human language data. Preferably, this will include a track record of research publications involving both traditional natural language processing techniques and large language models. Experience researching languages other than English would be a plus. This job will include opportunities to develop new skills, including those related to project leadership. It may also include opportunities to teach, as negotiated with the department.

Preferred Education Requirement:
Singular knowledge of machine learning and computational approaches to modeling human learning and language, normally acquired through attainment of a PhD in Computer Science or equivalent formal training in a similar field that is directly related to research on human learning.

MQ: Master's Degree with 5 years experience.

All positions at the University of Houston-System are security sensitive and will require a criminal history check.

The University of Houston System and its universities are Equal Opportunity Institutions. Everyone is encouraged to apply.