Post Doctoral Fellow - Decision & Information Sciences
University of Houston
Houston, TX 77204
$49,400 - $56,200 a year
Description
- 495881
- Full-Time
- Decision & Information Science
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Department: Decision & Information Science Salary: 49,400 - 56,200
Description:
Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops understanding and skills to allow for completion of assignments that cross fields of specialization. Develops leadership and management skills.
1. Receives/Reviews progress and evaluates results of experiments or projects under control or supervisory responsibility.
2. Recommends changes in research, testing or experimental procedures.
3. May be responsible for a single highly technical and complex piece of research equipment.
4. May review and evaluate the effectiveness of personnel.
5. May plan for and assign personnel to projects under control.
6. Operates with latitude for unreviewed action.
7. May receive general supervision conferring with higher levels only in unusual situations.
8. Performs other job-related duties as required.
Additional Position Information
Description:
The Department of Decision & Information Sciences at the University of Houston seeks to fill a post-doctoral research position. The candidate will work with Dr. Shubham Akshat in the healthcare space; most projects involve close collaboration with healthcare practitioners and working with large-scale data. The candidate will be required to relocate to Houston, home to one of the world's largest medical centers. The initial term of the position is 1 year, with the possibility of renewal. Candidate must be self-driven and have a proven record of publications and completed projects that demonstrate an outstanding ability to work with data.
Anticipated start and end date: June 1, 2026 – May 31, 2027. The position may be renewed for additional period.
Position includes the following responsibilities but not limited to:
Qualifications:
Preferences: Experience with econometrics and machine learning
Applications should include:
The applicants must apply at: http://www.uh.edu/human-resources/uhcareers/
Review of applications will begin immediately and continue through April 15, 2026 or until the position is filled. Hiring international candidates is a possibility and are encouraged to apply. For any questions, please contact Dr. Shubham Akshat (sakshat@uh.edu).
MQ: Requires singular knowledge of a specialized advanced professional discipline or the highest level of general business knowledge, normally acquired through attainment of a directly job-related terminal degree or equivalent formal training in a recognized field of specialization that is directly related to the type of work being performed. No experience is required.
1. Receives/Reviews progress and evaluates results of experiments or projects under control or supervisory responsibility.
2. Recommends changes in research, testing or experimental procedures.
3. May be responsible for a single highly technical and complex piece of research equipment.
4. May review and evaluate the effectiveness of personnel.
5. May plan for and assign personnel to projects under control.
6. Operates with latitude for unreviewed action.
7. May receive general supervision conferring with higher levels only in unusual situations.
8. Performs other job-related duties as required.
Additional Position Information
Description:
The Department of Decision & Information Sciences at the University of Houston seeks to fill a post-doctoral research position. The candidate will work with Dr. Shubham Akshat in the healthcare space; most projects involve close collaboration with healthcare practitioners and working with large-scale data. The candidate will be required to relocate to Houston, home to one of the world's largest medical centers. The initial term of the position is 1 year, with the possibility of renewal. Candidate must be self-driven and have a proven record of publications and completed projects that demonstrate an outstanding ability to work with data.
Anticipated start and end date: June 1, 2026 – May 31, 2027. The position may be renewed for additional period.
Position includes the following responsibilities but not limited to:
- Conceptualizing research questions
- Data analysis
- Programming
- Conducting high quality research
- Writing papers targeting top management journals (e.g., MS, MSOM, OR, etc.)
Qualifications:
- Ph.D. in operations management, computational social science, economics, computer science, network science, management, applied mathematics, or related fields.
- Prior experience in programming and working with large-scale data; expertise in econometrics and machine learning is a strong plus.
- Strong communication skills
Preferences: Experience with econometrics and machine learning
Applications should include:
- A detailed cover letter describing the applicant’s background and qualifications for the position,
- A full curriculum vitae, including a list of publications and the names, addresses, e-mail addresses, and telephone numbers of at least three professional references,
- A detailed statement of proposed research.
The applicants must apply at: http://www.uh.edu/human-resources/uhcareers/
Review of applications will begin immediately and continue through April 15, 2026 or until the position is filled. Hiring international candidates is a possibility and are encouraged to apply. For any questions, please contact Dr. Shubham Akshat (sakshat@uh.edu).
MQ: Requires singular knowledge of a specialized advanced professional discipline or the highest level of general business knowledge, normally acquired through attainment of a directly job-related terminal degree or equivalent formal training in a recognized field of specialization that is directly related to the type of work being performed. No experience is required.
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.