Key responsibilities include:

• Conducting empirical research on AI's economic effects, drawing on external data sources
• Developing new methodological approaches for studying AI's impact on labor markets, future of work, and society

We are looking for individuals with an interest in economics or societal impact research, prior experience in this area is a plus but not required. Adaptability and collaboration are essential, as well as the ability to take direction and contribute to team priorities rather than pursuing a predetermined research agenda.

To participate in the Fellows program, you must have work authorization in the UK and be located in the UK during the program. We have designated shared workspaces in London where fellows will work from and mentors will visit. We are also open to remote fellows in the UK. We will ask you about your availability to work from London (full- or part-time) during the program.

Visa sponsorship is not available for this program. To participate, you need to have or independently obtain full-time work authorization in the UK.

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Your tasks will include:

• Supporting various HR processes, such as independent care for employees at different MHP locations or organization of internal projects
• Taking over your own projects from different HR disciplines
• Supporting employee care and communication with internal and external stakeholders
• Creating monthly evaluations and reports to ensure high-quality reporting
• Informing yourself about top trends and developments in the HR field

To be well-equipped for your path as a work-study student, you should have the following qualifications:

• Study in Business Psychology, Social Sciences, Economics, or a comparable course of study
• Passion for HR topics with a strong focus on people management
• Knowledge and first experiences in personnel management and safe handling of Office, SAP, and Success Factors (desired)
• Your way of working is characterized by self-responsibility, organizational and creative abilities, and high communication skills

Before departure:

• Valid matriculation at a university or college
• Start: 01.06.2026/01.09.2026
• Duration: 6 months
• Part-time (max. 20 hours/week)
• Field: Corporate Functions
• Language: Safe German and English

At MHP, you will grow in an innovative and supportive environment continuously. This makes us the perfect sparring partner for your studies. Both for professional input and networking. We offer you:

• Appreciation. We support and appreciate colleagues as they are and celebrate our successes together.
• We always welcome creativity and new impulses.
• Flexibility. Your working arrangement is up to you, time-wise and location-wise, in coordination with your supervisor or mentor.
• You have the opportunity to grow with us, in tasks, know-how, and responsibility.

For more information on our benefits, please see here.

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Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission).

We run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in July 2026 and beyond.

What to Expect

• 4 months of full-time research
• Direct mentorship from Anthropic researchers
• Access to a shared workspace (in either Berkeley, California or London, UK)
• Connection to the broader AI safety and security research community
• Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)
• Funding for compute (~$15k/month) and other research expenses

Interview Process

The interview process will include an initial application & reference check, technical assessments & interviews, and a research discussion.

Compensation

The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).

Fellows Workstreams

Due to the success of the Anthropic Fellows for AI Safety Research program, we are now expanding it across teams at Anthropic. We expect there to be significant overlap in the types of skills and responsibilities across the roles and will by default consider candidates for all the workstreams.

Some of the workstreams may include unique assessment steps; we therefore ask you for workstream preferences in the application. You can see an overview of the current workstreams below:

• AI Safety Fellows
• AI Security Fellows
• ML Systems & Performance Fellows
• Reinforcement Learning Fellows
• Economics & Societal Impacts Fellows

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