Professor Gillian Hadfield is seeking one or more highly qualified postdoctoral scholars to join her team at the Normativity Lab 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 background in interdisciplinary research and experience integrating social science concepts with computational modelling to explore the dynamics of AI systems and the development of autonomous AI agents. 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 use economic, political and cultural evolutionary theory together with computational modeling, specifically multi-agent reinforcement learning and generative agent simulations, 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.

• 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).

• Familiarity with AI Technologies: Knowledge of AI frameworks and algorithms, particularly those related to decision-making and ethical AI.

• 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.

Additional skills:

• 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

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

Salary: $62,132 - $75,000

Applicants should submit a curriculum vitae, a research statement, an unofficial university transcript, writing sample and three letters of reference.

Applications must be made online at http://apply.interfolio.com/159343 . Applications will be reviewed on a rolling basis.

Questions may be directed to sienna.digiuseppe@jhu.edu .

The referenced salary range is based on Johns Hopkins University's good faith belief at the time of

posting. The actual compensation offered to the selected candidate may vary and will be based on

factors including, but not limited to, the experience and qualifications of the selected candidate - e.g.,

years in rank, training, field, discipline, other work experience, and other similar factors; geographic

location; internal equity; external market conditions; and other factors as reasonably determined by

the University.

Additional Information

Salary Range

The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.

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Background Checks

The successful candidate(s) for this position will be subject to a pre-employment background check including education verification.

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Diversity and Inclusion

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Vaccine Requirements

Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. The COVID-19 vaccine does not apply to positions located in the State of Florida. We still require all faculty, staff, and students to receive the seasonal flu vaccine (https://covidinfo.jhu.edu/health-safety/flu-vaccine-policy/) . Exceptions to the COVID and flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. For additional information, applicants for SOM positions should visit https://www.hopkinsmedicine.org/coronavirus/covid-19-vaccine/ and all other JHU applicants should visit https://covidinfo.jhu.edu/health-safety/covid-vaccination-information/.

The following additional provisions may apply, depending upon campus. Your recruiter will advise accordingly. The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.

Job Type: Full Time Johns Hopkins University is committed to active recruitment of a diverse faculty and student body. The University is an Affirmative Action/Equal Opportunity Employer of women, minorities, protected veterans and individuals with disabilities and encourages applications from these and other protected group members. Consistent with the University’s goals of achieving excellence in all areas, we will assess the comprehensive qualifications of each applicant.