Postdoctoral Researcher

Job Summary

We are seeking a highly talented PhD Student with experience and interest in state‑of‑the‑art AI technologies, data science, and research software engineering. This position offers the opportunity to work in a world‑renowned research institute alongside faculty, software engineers, PhD students, and Post Docs on the development of cutting‑edge AI‑ready/agentic infrastructure for data and model discovery, model metadata extraction, and scholarly intelligence.

The project will explore conceptual frameworks and system architecture to support data trust in the context of AI‑enabled science workflows. Experience in developing and deploying software is desired.

This position centers on the design and development of systems that enable discovery and analysis of AI models used in scientific research publications. Rather than cataloging datasets cited by papers, this effort focuses on identifying and organizing information about:

• AI models mentioned or used in publications
• Model families, versions, checkpoints, and architectures
• Tasks and scientific domains in which models are applied
• Evidence of reuse, benchmarking, fine‑tuning, and comparison
• Links among papers, models, repositories, benchmarks, and supporting resources
• Search, ranking, and visualization interfaces for model‑centric scholarly exploration

This work sits at the intersection of AI/NLP, scholarly knowledge extraction, software engineering, data infrastructure, and human‑centered discovery systems.

• Work with faculty, staff, and students in designing and developing computational tools in support of research projects.
• Aid in the specification of software requirements in coordination with faculty or team leads.
• Develop user interfaces and APIs with web front‑end technologies such as HTML5, SCSS, Vue, React, Typescript, D3.js, node.js, and chart.js.
• Back‑end server component development with technologies such as Flask, Django, CKAN, ArangoDB, PostgreSQL, MongoDB, Redis, and Elasticsearch.
• Create and maintain build, testing, and deployment systems with Git, Git Hub, Slack, Docker, AWS, CircleCI, webpack, npm, and related tools.
• Develop high‑quality and well‑documented code.
• Build CI/CD workflows to validate changes across multiple targets.
• Profile and optimize performance for data throughput and latency.
• Interface with collaboration partners and participate actively in a collaborative work environment to turn requirements into optimal solutions on a large scale.
• Contribute actively to team discussions on architectural design and solutions by continuously looking for improvements.
• Research and stay current with project‑related scientific literature.
• Identify and implement creative solutions to overcome problems.
• Mentor postdocs, students, and junior software developers for best software practices.
• Support the end‑user community by responding to user questions posted on the discussion list, fixing bugs, and incorporating feature requests.
• Help with the project website and discussion boards for user support, developer support, and announcements.
• Contribute to teaching activities by preparing and presenting educational seminars.

Postdoc.

Applicants must demonstrate the potential ability to perform the essential functions of the job as outlined in the position description.

• Solid background and working knowledge of computer science fundamentals including algorithms, data structures, and object‑oriented programming.
• Experience with HTML and web technologies.
• Good knowledge of server technology and databases.
• Experience working with large codebases.
• Containerization (Docker) and building software for web deployment.
• Strong understanding of Linux tool chains and debugging tools.
• Debugging and critical thinking skills including identifying bottlenecks, bugs, and devising solutions.
• Experience with Git Hub Actions, Git Lab CI, or similar CI/CD systems.
• PhD in Computer Science, Scientific Computing, Data Science, Informatics, AI/ML, or a closely related area, or equivalent research experience.
• Experience contributing to scientific computing frameworks.
• Knowledge of RDMA, libfabric, or similar low‑level…