Post-Doc Research Associate AI for Credible Climate Mitigation
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Job Location:
Chapel Hill, NC - USA
Monthly Salary:
$ 68000 - 72000
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
Position Summary
This position may be eligible for a hybrid work arrangement that may include a partially remote work location consistent with System Office policy. UNC Chapel Hill employees are generally required to reside within a reasonable commuting distance of their assigned duty station. The Data-Driven EnviroLab ( DDL ) is an interdisciplinary and international research initiative based at UNCs IE that is redefining how data is used to tackle the worlds most pressing environmental challenges. Analyzing the global environment at multiple geographical and jurisdictional levels from cities countries and regions to local communities and corporations we turn complex large-scale and often messy datasets into actionable insights that shape policy drive accountability and create real-world impact. We operate with a commitment to evidence-based equitable solutions building connections across disciplines sectors and geographies while giving special attention to underrepresented communities and data-scarce regions in the Global South. DDL was founded and is led by Associate Professor Angel Hsu. The Data-Driven EnviroLab ( DDL ) at UNC -Chapel Hill seeks a Postdoctoral Research Associate to join CLAIM : the Center for Climate Leadership and AI-driven Integrity in Mitigation. CLAIM advances the credible use of artificial intelligence especially generative AI and large language models (LLMs) to accelerate climate mitigation while safeguarding integrity in climate commitments. We are looking for a researcher whose agenda sits at the intersection of AI and climate action with a particular focus on subnational governments and non-state actors (e.g. cities regions companies investors civil society). The ideal candidate will research how to use LLMs as tools for mitigation strategy and accountability and scrutinize them as systems that can reproduce bias misinformation or greenwashing unless carefully benchmarked. Working with an interdisciplinary team spanning computer science climate policy law and social science the Postdoctoral Research Associate will: - Develop adapt and evaluate LLM /genAI systems for climate mitigation intelligence especially for tracking and assessing commitments and actions by cities regions and non-state actors. - Design and validate benchmarks metrics and auditing pipelines that test the accuracy credibility fairness and robustness of LLM outputs related to climate targets disclosures and policy claims. - Rigorously test genAI/ML models against misinformation disinformation and greenwashing including stress-testing models under adversarial low-resource and multilingual settings. - Study how generative AI shapes real-world climate behavior including impacts on corporate and subnational mitigation planning transparency and accountability. - Contribute to CLAIMs broader mission: data collection methodological innovation open tools papers and policy-facing outputs that improve climate commitment integrity. The position is initially for 1 year with the possibility of extension pending funding and performance.
Required Qualifications Competencies And Experience
- PhD in Computer Science Computing Statistics or Data Science or related disciplines - Demonstrated hands-on experience training fine-tuning or adapting LLMs / generative AI models (e.g. instruction tuning domain adaptation RAG pipelines) with evidence in publications open-source code or deployed tools. - Strong experience in LLM /genAI evaluation and benchmarking including methods for factuality/hallucination testing robustness calibration bias/fairness and/or adversarial stress-testing. - Solid programming and ML/ NLP engineering skills in Python and ideally modern deep-learning stacks (e.g. PyTorch/ JAX HuggingFace/Transformers vector databases agentic/ RAG tooling) with ability to build reproducible research pipelines. - Working knowledge of climate change mitigation and environmental governance including familiarity with climate commitments emissions accounting or policy/action tracking and motivation to apply AI in this space. - Able to think critically proactively and work both independently and in an interdisciplinary team environment.
Preferred Qualifications Competencies And Experience
- Excellent organization and time management skills.
This position may be eligible for a hybrid work arrangement that may include a partially remote work location consistent with System Office policy. UNC Chapel Hill employees are generally required to reside within a reasonable commuting distance of their assigned duty station. The Data-Driven EnviroLab ( DDL ) is an interdisciplinary and international research initiative based at UNCs IE that is redefining how data is used to tackle the worlds most pressing environmental challenges. Analyzing the global environment at multiple geographical and jurisdictional levels from cities countries and regions to local communities and corporations we turn complex large-scale and often messy datasets into actionable insights that shape policy drive accountability and create real-world impact. We operate with a commitment to evidence-based equitable solutions building connections across disciplines sectors and geographies while giving special attention to underrepresented communities and data-scarce regions in the Global South. DDL was founded and is led by Associate Professor Angel Hsu. The Data-Driven EnviroLab ( DDL ) at UNC -Chapel Hill seeks a Postdoctoral Research Associate to join CLAIM : the Center for Climate Leadership and AI-driven Integrity in Mitigation. CLAIM advances the credible use of artificial intelligence especially generative AI and large language models (LLMs) to accelerate climate mitigation while safeguarding integrity in climate commitments. We are looking for a researcher whose agenda sits at the intersection of AI and climate action with a particular focus on subnational governments and non-state actors (e.g. cities regions companies investors civil society). The ideal candidate will research how to use LLMs as tools for mitigation strategy and accountability and scrutinize them as systems that can reproduce bias misinformation or greenwashing unless carefully benchmarked. Working with an interdisciplinary team spanning computer science climate policy law and social science the Postdoctoral Research Associate will: - Develop adapt and evaluate LLM /genAI systems for climate mitigation intelligence especially for tracking and assessing commitments and actions by cities regions and non-state actors. - Design and validate benchmarks metrics and auditing pipelines that test the accuracy credibility fairness and robustness of LLM outputs related to climate targets disclosures and policy claims. - Rigorously test genAI/ML models against misinformation disinformation and greenwashing including stress-testing models under adversarial low-resource and multilingual settings. - Study how generative AI shapes real-world climate behavior including impacts on corporate and subnational mitigation planning transparency and accountability. - Contribute to CLAIMs broader mission: data collection methodological innovation open tools papers and policy-facing outputs that improve climate commitment integrity. The position is initially for 1 year with the possibility of extension pending funding and performance.
Required Qualifications Competencies And Experience
- PhD in Computer Science Computing Statistics or Data Science or related disciplines - Demonstrated hands-on experience training fine-tuning or adapting LLMs / generative AI models (e.g. instruction tuning domain adaptation RAG pipelines) with evidence in publications open-source code or deployed tools. - Strong experience in LLM /genAI evaluation and benchmarking including methods for factuality/hallucination testing robustness calibration bias/fairness and/or adversarial stress-testing. - Solid programming and ML/ NLP engineering skills in Python and ideally modern deep-learning stacks (e.g. PyTorch/ JAX HuggingFace/Transformers vector databases agentic/ RAG tooling) with ability to build reproducible research pipelines. - Working knowledge of climate change mitigation and environmental governance including familiarity with climate commitments emissions accounting or policy/action tracking and motivation to apply AI in this space. - Able to think critically proactively and work both independently and in an interdisciplinary team environment.
Preferred Qualifications Competencies And Experience
- Excellent organization and time management skills.
Required Experience:
IC
Key Skills
- Laboratory Experience
- ELISA
- Immunoassays
- Mammalian Cell Culture
- Biochemistry
- Cell Biology
- Research Experience
- Cell Culture
- Molecular Biology
- Microscopy
- Research Laboratory Experience
- Western Blot
About Company
The University of North Carolina at Chapel Hill, the nation’s first public university, is a global higher education leader known for innovative teaching, research and public service. A member of the prestigious Association of American Universities, Carolina regularly ranks as the best ... View more
