Research Associate

Required discipline is ambiguous or unstated — needs a human read.

Rules fired: QUALIFICATION_AMBIGUOUS

• ✓ Skills matched: PhD in Computer Science (AI), Python programming, Deep Learning (PyTorch, TensorFlow), Machine Learning, Large Language Models, Generative AI, Multi‑Agent Systems, Federated Learning, Cloud Computing / Distributed Systems, Docker
• ✓ Skills not evidenced: Grant writing experience, Formal teaching or mentorship experience, Domain‑specific expertise not listed in job posting (e.g., biomedical, social sciences)

Stages: discovery → authorization → qualification → research_match → candidate_match → ranking

Decision

REVIEW (confidence 0.00)

Required fields

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Preferred fields

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Domain-specific

—

CS compatibility

0/100

The posting does not specify any required or preferred doctoral discipline; it only describes the applicant's degree. Therefore no requirement is found, leading to a REVIEW decision.

Alignment

NONE (5/100)

Matched areas

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Missing areas

Agentic AI, AI Agents, Multi-Agent Systems, Multi-Agent Learning, Large Language Models, LLM Agents, Generative AI, Foundation Models, Autonomous AI, AI Planning, Reasoning Agents, Tool-Using Agents, Collaborative AI Agents, Intelligent Agents, Deep Learning, Computer Vision, Edge AI, Cloud Computing, Intelligent Transportation Systems, Federated Learning

The job posting provides only a generic title 'Research Associate' with no description of the specific research methods, questions, or lab focus. Without details on the actual work (e.g., whether it involves AI agents, foundation models, federated learning, etc.), it is impossible to determine any alignment with the candidate's extensive AI and multi-agent research interests. Consequently, the match is considered none.

Overall

96/100

Matched skills

PhD in Computer Science (AI), Python programming, Deep Learning (PyTorch, TensorFlow), Machine Learning, Large Language Models, Generative AI, Multi‑Agent Systems, Federated Learning, Cloud Computing / Distributed Systems, Docker, FastAPI, PostgreSQL, Peer‑reviewed publications, Software/systems architecture

Missing skills

Grant writing experience, Formal teaching or mentorship experience, Domain‑specific expertise not listed in job posting (e.g., biomedical, social sciences)

Strengths

Extensive 25‑year software and systems architecture background; Strong publication record (5 peer‑reviewed papers, high impact factor); Hands‑on experience building production LLM pipelines and multi‑agent systems; Broad AI research portfolio covering agents, LLMs, federated learning, and edge AI