General Description

Professor Gillian Hadfield is seeking a highly-qualified postdoctoral scholar to join her team at the Normativity Lab in Baltimore, MD, or Washington, DC, to investigate the foundations of human normativity and how these insights can inform the development of AI systems aligned with human values. The ideal candidate will have a track record in computational modelling that explores the dynamics of AI systems and the development of autonomous AI agents, experience with machine learning, reinforcement learning, and generative AI, and a background in interdisciplinary research. This is a full-time one-year position, with the possibility of extension.

About the Normativity Lab

How can we ensure AI systems and agents align with human values and norms? Maintain and enhance the complex cooperative economic, political and social systems humans have built? What will it take to ensure that the AI transformation puts us on the path to improved human well-being and flourishing, and not catastrophe? Existing approaches to alignment, such as RLHF, constitutional AI and social choice methods, focus on eliciting human preferences, aggregating them across multiple, pluralistic values if necessary, and fine-tuning models to satisfy those preferences. In the Normativity Lab we believe these approaches are likely to prove too limited to address the alignment challenge and that the alignment questions will require studying the foundations of human normativity and human normative systems.  We bridge computational modeling, specifically multi-agent reinforcement learning and generative agent simulations, and economic, political, and cultural evolutionary theory to explore the dynamics of normative systems and explore how to build AI systems and agents that have the normative infrastructure and normative competence to do as humans have learned to do:  create stable rule-based groups that can adapt to change while ensuring group well-being.

Specific Duties and Responsibilities:

• Project Ownership: Take ownership of research projects, working independently and collaboratively with a diverse team of experts
• Model Development: Develop and refine computational models to simulate and analyze normative behaviors in various contexts.
• Data Collection and Analysis: Design and implement empirical studies, including data collection, statistical analysis, and interpretation of results.
• Publication: Prepare and submit manuscripts for publication in high-impact academic journals and present findings at conferences and workshops.
• Collaborate with Team Members: Work closely with lab members and external collaborators to foster a productive research environment and contribute to interdisciplinary projects.
• Mentor Students: Provide guidance and mentorship to graduate and undergraduate students involved in related research projects.
• Contribute to Lab Activities: Participate in lab meetings, potentially take a leadership role in coordinating lab activities, contribute to grant writing, and engage in outreach activities to promote the lab's research initiatives. 

Qualifications

Special Knowledge, Skills, and Abilities:

• Strong technical understanding of issues in the fields of AI safety and governance. Familiarity with the ethical implications of AI technologies and their alignment with human values and societal norms.
• Expertise in large language models, multi-agent reinforcement, or economic modeling and game theory.
• Knowledge of theories related to human normativity, including welfare economics, political theory, moral philosophy, cultural evolutionary theory, social norms, or legal systems is a strong asset; an interest in learning about these domains is essential.
• Proficiency in designing and implementing computational models to simulate normative behaviors and group dynamics.
• Strong capability in both qualitative and quantitative research methods, including statistical analysis and survey design.
• Experience conducting interdisciplinary research, including integrating perspectives from economics, law, and social sciences to analyze complex systems.
• Knowledge of the academic publishing process.

Level of Independent Decision-Making:

• Ability to independently lead and deliver on research projects.
• Capable of formulating and implementing research methodologies and procedures.
• Ability to make independent decisions regarding data quality, analysis, and interpretation.
• Capable of independently managing timelines and deliverables.

Qualifications

• Advanced Degree: A PhD in a relevant field such as computer science, economics, political science or cultural evolution
• Programming Skills: Proficiency in programming languages relevant to computational modeling (e.g., Python, R, or similar).
• Data Analysis Tools: Experience with statistical software and data visualization tools (e.g., SPSS, Stata, Tableau).
• AI Experience: Knowledge of AI frameworks and algorithms, particularly those related to decision-making and ethical AI.
• Machine Learning Experience: Knowledge of ML techniques, including reinforcement learning.
• Academic Excellence: Strong publication record in peer-reviewed journals relevant to normative systems, AI ethics, or related fields.
• Research Experience: Demonstrated experience conducting independent research, including project development and execution.
• Teaching and Mentorship: Experience in teaching or mentoring undergraduate or graduate students in a research or academic setting.
• Collaboration and Communication: Excellent teamwork skills with the ability to present research findings clearly and effectively to diverse audiences.

Applicants with some but not all of these qualifications are encouraged to apply and diversity of background and research interests will be considered.

Application Instructions

Applicants must submit the following documents as attachments:

• CV
• Research statement identifying prior research projects, current interests, and sample research questions, aligned with the goals of the Normativity Lab, to be explored during the fellowship
• Unofficial university transcript
• Writing sample
• Contact information for three (3) people who can speak to the applicant's professional experience and potential as a postdoctoral researcher

About Johns Hopkins University

Johns Hopkins University remains committed to its founding principle, that education for all students should be grounded in exploration and discovery. Hopkins students are challenged not just to learn but also to advance learning itself. Critical thinking, problem solving, creativity, and entrepreneurship are all encouraged and nourished in this unique educational environment. After more than 130 years, Johns Hopkins remains a world leader in both teaching and research. Faculty members and their research colleagues at the university's Applied Physics Laboratory have each year since 1979 won Johns Hopkins more federal research and development funding than any other university. The university has nine academic divisions and campuses throughout the Baltimore-Washington area. The Krieger School of Arts and Sciences, the Whiting School of Engineering, the School of Education and the Carey Business School are based at the Homewood campus in northern Baltimore. The schools of Medicine, Public Health, and Nursing share a campus in east Baltimore with The Johns Hopkins Hospital. The Peabody Institute, a leading professional school of music, is located on Mount Vernon Place in downtown Bal...timore. The Paul H. Nitze School of Advanced International Studies is located in Washington's Dupont Circle area.

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