Optimising Cancer follow-up using mathematical models and AI

Erasmus University Rotterdam; Rotterdam; Hybrid; EUR 36,000 - 45,000; Full time

Benefits offered by this job

Flexible home-based work

41 days paid leave + 8% holiday pay

Pension (ABP)

Career budget for development

Dutch language courses

Job summary

Erasmus University Rotterdam is seeking a PhD candidate to develop and evaluate a mathematical model and AI decision-making algorithms for tailored cancer follow-up. The role combines data analysis with participatory research, engaging patients and clinicians to optimise surveillance strategies across tumour streams.

You will work within the EMPOWER alliance at Erasmus MC and collaborate with the Delft and EUR groups, contributing to sustainable cancer care and workforce planning in a dynamic,

Qualifications

• Demonstrated modelling and algorithmic experience, especially with POMDPs.
• Solid Python programming skills and ability to read/adapt existing model code.
• Ability to analyze patient-level or registry data.
• Experience engaging clinicians and patients in research settings.
• Experience with participatory design and focus groups is a plus.
• Excellent command of English; Dutch is preferred for group work.

Responsibilities

• Develop and evaluate a mathematical model and AI decision-making algorithms for cancer follow-up optimization.
• Engage patients and clinicians to assess feasibility and workload implications.
• Map data sources, define model specifications, and build an extrapolation framework.
• Work with multi-disciplinary teams across Europe to generalise findings.

Skills

POMDP modelling

Python programming

Data analysis

Clinical engagement

Participatory design

English proficiency

Dutch language (preferred)

Education

Master’s degree in econometrics

Mathematics

Computer science

Biomedical sciences

Artificial intelligence / Data science

Job description

Introduction

Erasmus University, TU Delft and Erasmus Medical Centre have established a partnership through interdisciplinary research and education. As part of the work in the alliance, we are looking for a PhD candidate to develop and evaluate a mathematical model and algorithm to better tailor (risk-based) follow-up after cancer treatment. The role is highly impactful for ensuring sustainable cancer care in the future, and we are looking for an exceptional candidate with strong quantitative, and modelling (e.g., POMDP) expertise combined with the interest to work with patients and clinicians on improving cancer care. In the role you will combine data analysis using clinical registries, evidence synthesis, participatory research with patients and clinicians, applied modelling, and development of AI decision-making algorithms to answer a question that health services across Europe are struggling with: how much surveillance is enough, for whom, and delivered by whom?

Job Description

Background

Follow-up after primary cancer treatment is, in several tumour streams, more intensive than the evidence currently supports. Where the aim is recurrence detection, frequent and intensive surveillance shows limited benefit for clinical outcomes while imposing psychological burden and out-of-pocket costs on patients and consuming scarce professional capacity. These pressures are intensifying. Survivor numbers are rising, early-onset cancers extend the survivorship horizon, treatment is shifting from surgery towards systemic therapy, and complex care is concentrating in fewer specialised centres. Deciding where surveillance capacity is best spent has therefore become a question of workforce sustainability as much as one of clinical effectiveness.

Aim and Objectives

• Optimising follow-up. Determining when, for how long and in what form patients should be seen, and identifying the factors — age, tumour stage, molecular profile, treatment received — on which stratification can be based. Given clinical and molecular characteristics of many tumours, a Partially Observable Markov Decision Process (POMDP) is a preferred approach.
• Defining successful implementation. Engaging patients to understand their concerns and preferences, and assessing the clinical feasibility of alternative follow-up arrangements, including nurse-led, physician-led and online delivery, with attention to professional roles, responsibilities and workload.
• Data and model requirements. Identifying suitable data sources such as the cancer registry, specifying the model along clinical, operational and organisational dimensions through participatory design, and building an extrapolation framework that transfers findings from large datasets to low-volume tumour streams.

Approach

A systematic review with LLM-assisted extraction of policy documents updates the international consensus on follow-up and risk stratification. Secondary data sources (e.g., cancer registry) will be used to map variation in current practice, estimate (yearly) recurrence incidence, and define the risk factors on which cancer follow-up can be stratified. Focus groups with patients establish what implementation would require of them and focus groups with professionals address feasibility and their own role. These feed a model whose outputs cover capacity and resource use alongside clinical outcomes, with risk factors and organisational constraints — hub-and-spoke versus centralised care, nurse-led delivery — entering as explicit variables. Colorectal, lung and bladder cancer are the primary candidate tumour streams, with prostate and breast under consideration. Ideally, the project approach and results should be generalisable to other tumour streams.

Job Requirements

• Demonstrable modelling and algorithmic experience. You have built, programmed and run models yourself — for example discrete-event or capacity models, but specifically POMDPs — and can read and adapt someone else’s model code. You are interested in addressing challenges of scalability, robustness and interpretability in AI decision making. The emphasis in this project is on applying established methods rigorously to a clinical and organisational problem, not on developing new mathematical theory.
• The ability to engage credibly with clinicians and patients. This is the skill we weigh heavily. You can sit in an oncology outpatient clinic and earn the confidence of the professionals working there; you can facilitate a focus group with people living after cancer treatment, with the sensitivity that subject demands; and you can translate technical findings into terms that clinicians, patients and hospital managers can act on. Prior experience in a clinical, patient-facing or participatory research setting is a clear advantage.
• A completed (or nearly completed) Master’s degree in econometrics, mathematics, computer or biomedical sciences, artificial intelligence, operations research, data science, or a related field.
• Solid programming skills in Python or a comparable environment, and experience analysing patient-level or registry data.
• Affinity with qualitative and participatory methods, or a clear willingness to acquire them: focus groups and participatory design are a substantive part of the project, not an afterthought.
• Excellent command of English, written and spoken. Command of Dutch is preferred because we expect focus groups with Dutch patients and professionals form part of the project. Should Dutch not be the preferred language, you are expected to jointly work with Dutch health professionals or students who can moderate these focus groups. The independence and persistence that four years of doctoral research require, alongside a genuinely collaborative disposition.

Employment Conditions And Benefits

• We offer you an internationally oriented and varied job in an enthusiastic team, with excellent working conditions in accordance with the Collective Labour Agreement for Dutch Universities (CAO-NU).
• A structured training programme through the Erasmus Graduate School of Social Sciences and the Humanities, plus a personal budget for courses, conferences and career development. International candidates are supported in learning Dutch through the university’s language courses.
• Embedding in the EMPOWER strategic alliance (ErasmusMC) on a sustainable healthcare workforce, giving you an interdisciplinary network across research and practice.
• Flexible and partly home-based working arrangements, and an international working environment on the Woudestein campus in Rotterdam.

Everything else we offer you, you can find below!

• Everything you need for a good work-life balance: the option to work from home in consultation with your manager, 41 days of paid leave with a 40 hour contract, 8% holiday pay and an 8.3% end-of-year bonus, and a significant discount on a subscription for our on-campus sports centre (https://erasmussport.nl/en/).
• Sustainable, inclusive and diverse work environment with an open culture, where you can be yourself and we pay attention to each other and to the world around us. Make the most of our bicycle budget, or join networks such as Young@EUR (https://www.linkedin.com/company/young-eur/?originalSubdomain=nl), FAME (https://www.eur.nl/en/about-eur/vision/inclusion-diversity-equity-access/networks/female-academics-moving-toward-equity-fame) or QuEUR.
• Time and space for your development in the broadest sense: development days and a personal career budget (https://www.eur.nl/en/media/2025-02-brochure-working-eur-january-2025) and free access to our university library (https://www.eur.nl/en/library).
• Good pension with ABP (https://www.eur.nl/en/media/2023-06-brochure-working-eurengjanuari-2023) that EUR contributes 2/3rds towards, discounts on various collective insurances (https://www.eur.nl/en/media/2025-02-brochure-working-eur-january-2025) with Zilveren Kruis Achmea, Loyalis, and Allianz, and compensation for travel, working from home and home internet use.
• Are you currently combining your job with parenthood, or do you want to do so in the future? EUR offers partially paid parental leave and fully paid additional birth leave for partners (https://www.eur.nl/en/media/2021-08-brochure-family-friendliness-en-06052021-5), and our campus features a daycare (https://www.eur.nl/en/services/partou-childcare-centre) (daycare not paid for by EUR).
• Moving to the Netherlands for your job with EUR? Then you may be eligible for the 30%-ruling (https://www.eur.nl/en/media/2025-02-brochure-working-eur-january-2025) if you meet the requirements of the Belastingdienst (Dutch tax agency), and with our Dual Career Programme (https://www.eur.nl/en/working/incoming-international-staff/family-support/spouse-support) we will also help your partner find the right job for them.

Employer

Erasmus University Rotterdam (EUR) is an internationally oriented university with a strong social orientation in its education and research, as expressed in our mission ‘Creating positive societal impact’. EUR is home to 4.100 academics and professionals and almost 33.000 students from more than 140 countries. Everything we do, we do under the credo The Erasmian Way – Making Minds Matter. We’re global citizens, connecting, entrepreneurial, open-minded, and socially involved. These Erasmian Values function as our internal compass and create EUR’s distinctive and recognizable profile. From these values, with a broad perspective and with an eye for diversity, different backgrounds and opinions, our employees work closely together to solve societal challenges from the dynamic and cosmopolitan city of Rotterdam. Thanks to the high quality and positive societal impact of our research and education, EUR can compete with the top European universities. www.eur.nl (http://www.eur.nl).

Faculty / Institute / Central service

About Erasmus University Rotterdam, TU Delft And Erasmus MC

Erasmus MC is one of the largest university medical centres in Europe and, through the Erasmus MC Cancer Institute, a national referral centre for complex oncological care. The Department of Oncologic Surgery combines a high-volume surgical practice with an active clinical research programme, and provides the clinical setting, the contact with patients and clinicians, and the outcome data on which this project depends.

Delft University of Technology, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS)

Its research on sequential decision-making under uncertainty — including partially observable Markov decision processes, planning and reinforcement learning — provides the methodological foundation and supervision for the modelling work in this project.

Erasmus School of Health Policy & Management

Erasmus School of Health Policy & Management is a world-leading school in health policy, health economics and healthcare management. ESHPM works on the organisation, financing, quality and governance of healthcare systems, including workforce sustainability in close collaboration with Erasmus MC. Research is problem-driven and multidisciplinary focused on questions that reach policy and practice. ESHPM is part of Erasmus University Rotterdam, an international research university with a strong societal orientation and a campus community.

Group

Health Services Management & Organisation is responsible for education and research on management and organisation in healthcare. Our aim is to improve the management and organisation of health services to provide the best value for patients/clients and professionals in healthcare. Research of HSMO covers the full width of the healthcare sector, managerial scientific domains, and methodologies (qualitative-, quantitative-, design-, and action research). To a large extent, our research is carried out on innovation of the primary process of care delivery, both within and across organizations. The teaching of the department is aligned with its research and is mainly organized around the MSc program in Healthcare Management, which is the largest programme in this domain in Europe, and the BSc program in Health Sciences (Gezondheidswetenschappen, Beleid & Management Gezondheidszorg). Courses taught for instance address Organisational Behavior, Health technologies, Quality & Safety, Innovation, Integrated Care, Operations Management, and Financial Management. The staff of the department includes 4 Full professors, 3 Associate professors, 11 Assistant professors, and 21 PhD’s.

Department

na

Additional Information

The (preferred) start date of this position is 1 December 2026 and you will be based at Campus Woudestein in Erasmus School of Health Policy & Management (ESHPM). This position is for 1 fte. The salary ranges from a minimum of € 3.204 to a maximum of € 4.051 gross per month Scale PhD on a fulltime basis (38 hours), in accordance with the CAO-NU. The initial contract runs for 18 months and is extended for the remaining period following a positive evaluation.

Persons of all gender identities or expressions, sexual orientations, religions, ethnicities, ages, neurodiversities, functional impairments, citizenships, or any other aspect are welcome to apply and join the EUR community.