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Post-Doctoral Fellow, Human-centered Analytics Lab (HAL)
Company: University of Notre Dame
Location: Notre Dame, IN
Employment Type: Full Time
Date Posted: 12/19/2025
Job Categories: Education, Collegiate Faculty, Staff, Administration
Job Description
Post-Doctoral Fellow, Human-centered Analytics Lab (HAL)


Post-Doctoral Fellow, Human-centered Analytics Lab (HAL)


Location: Notre Dame, IN
Open Date: 2025-08-27
Deadline: Jan 30, 2026 at 11:59 PM Eastern Time

Description:The Human-centered Analytics Lab (HAL) at the University of Notre Dame Mendoza College of Business invites applications for a post-doctoral research fellow. HAL supports and engages in interdisciplinary research examining the interaction of people with technology to understand the human condition in our increasingly digital world. HAL faculty view analytics as the translational arm of data science - a powerful tool for explaining, predicting and ultimately enhancing our understanding of human behavior in organizational and technological contexts. HAL integrates computer science, statistics, psychology, and information systems into a cohesive approach. This "T-shaped" structure features broad theoretical foundations with deep methodological expertise. HAL faculty develop and apply rigorous analytical methods to frame, evaluate and solve real-world problems. Led by two endowed chairs in analytics from different specializations, HAL transcends traditional disciplinary boundaries. The business school foundation of the Lab ensures research remains pragmatic and applicable, treating the world as a laboratory while maintaining methodological rigor.

The Fellow will reflect HAL's view of the role of analytics - as the translational arm of more foundational areas of data science, merging multiple fields into an interdisciplinary integration of technology, psychology, methodology, and relevant application domains. The Fellow will support and lead on-going HAL research projects related to the use of machine learning and large language models (LLMs) for multi-modal health analytics in real-world settings such as social robots for the elderly and mental health assessments. Ideal candidates will have research interests, computational and technical skills, and prior experience at the intersection of machine learning/LLMs, processing and analyzing unstructured user-generated text/sensor data, and responsible AI.

The position, supervised by HAL Faculty Co-Directors Ahmed Abbasi and Ken Kelley, is for 1 year with potential for a second year), with the anticipated start date being as soon as the position is filled . The Fellow will actively participate in the intellectual community of HAL, making progress on the aforementioned health analytics research projects, their own research, assisting with PhD student mentoring, and submitting research for publication in top journals. The position includes a travel allowance for collaborations and conference presentations. This is an in-person position at the University of Notre Dame campus in South Bend, Indiana.

Qualifications:
  • PhD in Computer Science, Data Science, Information Systems, Statistics, Computational/Quantitative Psychology, or related fields.
  • Track record of publications and/or desire to publish in top conferences or journals (i.e., publications and working papers).
  • Proficiency in Python for data wrangling, machine learning packages such as Scikit-learn, TensorFlow, PyTorch, Transformers, etc.
  • Experience with open-source software and reproducible research (e.g., GitHub repos), including with LLMs.
  • Ability to develop manuscripts, research reports, and weekly updates in LaTex platforms such as Overleaf.


To apply, visit https://apply.interfolio.com/172741

This appointment is contingent upon the successful completion of a background check. Applicants will be asked to identify all felony convictions and/or pending felony charges. Felony convictions do not automatically bar an individual from employment. Each case will be examined separately to determine the appropriateness of employment in the particular position. Failure to be forthcoming or dishonesty with respect to felony disclosures can result in the disqualification of a candidate. The full procedure can be viewed at https://facultyhandbook.nd.edu/?id=link-73597.

Equal Opportunity Employment Statement
The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The University is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, national or ethnic origin, sex, disability, veteran status, genetic information, or age in employment. Moreover, Notre Dame prohibits discrimination against veterans or disabled qualified individuals, and complies with 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a). We strongly encourage applications from candidates attracted to a university with a Catholic identity.


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