Postdoctoral Researcher

About the role

This position offers the opportunity to work in a world-renowned research institute alongside faculty, software engineers, PhD students, and PostDocs on the development of cutting-edge AI-ready/agentic infrastructure for data and model discovery, model metadata extraction, and scholarly intelligence.

Responsibilities

• 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, APIs with web front-end technologies like HTML5, SCSS, Vue, React, Typescript, D3.js, node.js, 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, Github, Slack, Docker, AWS, Circle-CI, webpack, npm and many others.
• 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.

Requirements

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

• Strongly Preferred Skills:
  • 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.
  • Working with large codebases Containerization (Docker) and building software for web deployment
  • Strong understanding of Linux toolchains and debugging tools
  • Debugging and critical thinking skills including identifying bottlenecks, and bugs and devising solutions to these problems.
  • Experience with GitHub Actions, GitLab 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.

  Qualifications

  PhD in Computer Science, Scientific Computing, Data Science, Informatics, AI/ML, or a closely related area, or equivalent research experience.

  Skills

  • Experience contributing to scientific computing frameworks
  • Knowledge of RDMA, libfabric, or similar low-level communication APIs
  • MCP and NLP integration
  • UI/UX design
  • Scientific visualization
  • CyberSecurity and AAI (OAuth2, Keycloak, etc)
  • Cloud deployment and Kubernetes

  Benefits

  Note: This job description is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.

  Pay

  $60,000 to $70,000

  Schedule

  Full Time