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Are you interested in academic research, and looking to make an impact on society? Do you enjoy to develop optimization methods to solve an important societal problem? Would you like to be part of a vibrant research community in Amsterdam, with the possibility for research visits at MIT and LBS? Then we have just the right position for you! The Amsterdam Business School is looking for a highly motivated PhD student who will develop optimization methods to optimize tax systems in the Netherlands, and in other countries.

Are you interested in academic research, and looking to make an impact on society? Do you enjoy to develop optimization methods to solve an important societal problem? Would you like to be part of a vibrant research community in Amsterdam, with the possibility for research visits at MIT and LBS? Then we have just the right position for you! The Amsterdam Business School is looking for a highly motivated PhD student who will develop optimization methods to optimize tax systems in the Netherlands, and in other countries.
Towards transparent and effective tax systems: a breakthrough in fiscal optimization
Tax systems in developed economies have evolved into intricate frameworks where dozens of rules and exceptions interact in complex ways. What began as legitimate reforms, aimed at redistribution, labour market incentives, or support for vulnerable groups, has resulted in opaque tax codes where even minor adjustments can trigger unpredictable consequences.
Policymakers and civil servants grapple with fundamental questions: What are the real effects of a new tax rate? What unintended incentives are we creating? And how can we design reforms that are both equitable and economically efficient?
TaxSolver, an innovative optimization tool developed by the Dutch Ministry of Finance, offers a new approach: designing optimal tax systems based on clearly defined policy objectives and constraints. However, the current version faces limitations in computational power and methodology.
This project will push those boundaries.
We tackle the biggest challenges: scaling up to national datasets, generating diverse reform scenarios, integrating deductibles and behavioural effects, multi-year reform planning, and joint optimization of rates and brackets. By deploying advanced techniques, from problem decomposition to robust optimization and constraint learning, we will transform TaxSolver into a powerful instrument for evidence-based policymaking.
The impact extends far beyond the Netherlands.
In collaboration with the Dutch Ministry of Finance, the UK Tax Authority, and the World Bank's tax development team, we are working on solutions applicable in both developed and developing countries. The result? A breakthrough in how governments worldwide can design tax reforms that are both politically feasible and socially effective, grounded in data, optimization, and science, not intuition alone.

Towards transparent and effective tax systems: a breakthrough in fiscal optimization
Tax systems in developed economies have evolved into intricate frameworks where dozens of rules and exceptions interact in complex ways. What began as legitimate reforms, aimed at redistribution, labour market incentives, or support for vulnerable groups, has resulted in opaque tax codes where even minor adjustments can trigger unpredictable consequences.
Policymakers and civil servants grapple with fundamental questions: What are the real effects of a new tax rate? What unintended incentives are we creating? And how can we design reforms that are both equitable and economically efficient?
TaxSolver, an innovative optimization tool developed by the Dutch Ministry of Finance, offers a new approach: designing optimal tax systems based on clearly defined policy objectives and constraints. However, the current version faces limitations in computational power and methodology.
This project will push those boundaries.
We tackle the biggest challenges: scaling up to national datasets, generating diverse reform scenarios, integrating deductibles and behavioural effects, multi-year reform planning, and joint optimization of rates and brackets. By deploying advanced techniques, from problem decomposition to robust optimization and constraint learning, we will transform TaxSolver into a powerful instrument for evidence-based policymaking.
The impact extends far beyond the Netherlands.
In collaboration with the Dutch Ministry of Finance, the UK Tax Authority, and the World Bank's tax development team, we are working on solutions applicable in both developed and developing countries. The result? A breakthrough in how governments worldwide can design tax reforms that are both politically feasible and socially effective, grounded in data, optimization, and science, not intuition alone.
You will be appointed by the Amsterdam Business School and your main task is to pursue and complete a PhD thesis within the appointed duration of four years.
Main duties and responsibilities:
Formal requirements:
Task-related requirements:
Additional requirements:
We offer full-time employment for the period of 4 years with a probationary period of 18 months, preferably starting from 1 September 2026 (in total, the contract will be for four years, fully funded).
The UFO profile ‘Promovendus’ (PhD student) applies to this position. This position is classified in scale PR. This means a gross monthly salary between € 3,059 and € 3,881 for full-time employment (38 hours per week), excluding holiday allowance (8%) and year-end bonus (8.3%). The salary scale depends on competences and work experience.
The collective bargaining agreement of Dutch universities applies.
The UvA has an extensive package of fringe benefits, including:
You will be appointed by the Amsterdam Business School and your main task is to pursue and complete a PhD thesis within the appointed duration of four years.
Main duties and responsibilities:
Formal requirements:
Task-related requirements:
Additional requirements:
We offer full-time employment for the period of 4 years with a probationary period of 18 months, preferably starting from 1 September 2026 (in total, the contract will be for four years, fully funded).
The UFO profile ‘Promovendus’ (PhD student) applies to this position. This position is classified in scale PR. This means a gross monthly salary between € 3,059 and € 3,881 for full-time employment (38 hours per week), excluding holiday allowance (8%) and year-end bonus (8.3%). The salary scale depends on competences and work experience.
The collective bargaining agreement of Dutch universities applies.
The UvA has an extensive package of fringe benefits, including:
Education and research at UvA Economics and Business (EB) covers a wide range of fields that includes economics, data science, business administration, business analytics, accountancy, control, econometrics, finance and entrepreneurship. This is organised in 2 Schools: the Amsterdam Business School (ABS) and the Amsterdam School of Economics (ASE). Over 7,000 students are enrolled in our UvA Economics and Business programmes and around 500 employees provide education and support.
The strengths of our section Business Analytics, lie in artificial intelligence, digital business, statistics and operations research. The section Business Analytics includes about 50 people; faculty members, teaching staff, PhD students and affiliated faculty. The Business Analytics section fosters a lively academic climate. We frequently organise academic seminars and reading groups and regularly invite external visitors. We equally value scientific value on the one hand and societal relevance and impact on the other hand.
Education and research at UvA Economics and Business (EB) covers a wide range of fields that includes economics, data science, business administration, business analytics, accountancy, control, econometrics, finance and entrepreneurship. This is organised in 2 Schools: the Amsterdam Business School (ABS) and the Amsterdam School of Economics (ASE). Over 7,000 students are enrolled in our UvA Economics and Business programmes and around 500 employees provide education and support.
The strengths of our section Business Analytics, lie in artificial intelligence, digital business, statistics and operations research. The section Business Analytics includes about 50 people; faculty members, teaching staff, PhD students and affiliated faculty. The Business Analytics section fosters a lively academic climate. We frequently organise academic seminars and reading groups and regularly invite external visitors. We equally value scientific value on the one hand and societal relevance and impact on the other hand.
Do you recognize yourself in the profile and are you interested in the position? We are curious to hear from you and look forward to receiving your cover letter and
resume.
For questions about the position please contact Dick den Hertog via [email protected]
Also important:
Do you recognize yourself in the profile and are you interested in the position? We are curious to hear from you and look forward to receiving your cover letter and
resume.
For questions about the position please contact Dick den Hertog via [email protected]
Also important:








