Event Coordinator

Event Coordinator

Our goal: At Maastricht University, we educate students and conduct research that helps advance society. Within the Faculty of Psychology and Neuroscience, events play an important role in student recruitment, community building, communication and alumni engagement. As Event Coordinator, you contribute directly to strengthening our faculty’s visibility, identity and connections.
Your colleagues: You will join the Marketing & Communications team (M&C) of the Faculty of Psychology and Neuroscience: a close knit, enthusiastic team of seven professionals. Together, you work on events, student recruitment, alumni relations and internal and external communication, in close collaboration with colleagues across the faculty and the wider university.

What you do
As Event Coordinator, you are responsible for organizing and supporting a wide range of events that align with the strategic goals of UM and FPN. You ensure that events are well prepared, smoothly executed and properly evaluated. You keep an overview, enjoy coordinating many stakeholders and always look for ways to improve the participant experience. In this role, you will:

• organize Bachelor’s and Master’s Open Days and the Faculty Introduction Week in close collaboration with Student Recruitment, M&C team and the Education Office;;
• co-coordinate the Faculty Graduation Ceremonies together with the M&C team and the Education Office;
• organize smaller events, such as Town Halls and events with regard to the Brain Awareness Week and give support with regard to e.g. Experience Days, Q&A sessions and Alumni events;
• (co-)coordinate the presence of and briefings for everyone (employees of other departments, student ambassadors, external suppliers and others) involved during events;
• work on the promotion and follow up of events, together with the M&C team;
• contribute to the development of event materials and promotional content;
• propose creative ideas and improvements based on evaluation and knowledge sharing with event colleagues across UM;
• participate actively in the UM wide events team;
• support office management activities within the M&C department, such as mailings and handling departmental mailboxes.

Are you ready to help create meaningful experiences for students, staff and alumni? Then we look forward to meeting you.

What you bring
We are not looking for a checklist, but for someone who enjoys collaboration and responsibility. You recognise yourself in the following:

• Organized & detail oriented: You plan carefully, keep track of multiple tasks and ensure everything is in order.
• Hands on & stress resistant: You remain calm under pressure and enjoy being actively involved before and during events.
• Communicative & collaborative: You work easily with colleagues, students and external partners and communicate clearly.
• Flexible & curious: You are open to learning, adaptable and comfortable working during evenings or weekends when events require it.

In addition, you have:

• MBO+/HBO level education in a relevant field (e.g. Event, Hotel or Facility Management);
• 1–2 years of relevant experience in event organization;
• excellent command of both English and Dutch (spoken and written).

PhD Candidate: Sustainable, Long-term Investment Decisions

PhD Candidate: Sustainable, Long-term Investment Decisions

• Our goal: Develop new financial insights that support sustainable, long-term investment decisions.
• Your colleagues: An international and collaborative community of PhD candidates, researchers, and faculty members within the Department of Finance and the Institute for Adaptation.

Financial markets increasingly face the challenge of balancing economic performance with long-term societal value. Investors, policymakers, and organisations are searching for better ways to integrate sustainability, externalities, and cultural value into investment decisions. At the same time, many existing financial models still struggle to fully capture the long-term impact of sustainable capital allocation.

That is why we are looking for a PhD candidate who wants to explore the future of sustainable finance. In this project, you investigate how financial markets can better account for environmental, social, and cultural externalities when making investment decisions. Building on foundational work by economists such as Arthur Pigou (1920), Ronald Coase (1991), and Elinor Ostrom (2009), your research contributes to a deeper understanding of how long-term sustainable value can be measured and integrated into financial decision-making.

You will work with unique datasets containing firm-level stock returns and company characteristics to analyse portfolio construction, capital allocation, and sustainable investment strategies. Using theoretical and empirical methods in finance, economics, and econometrics, you develop new insights into optimal sustainable portfolios and the creation of long-term value.

You will be based at Maastricht University’s Department of Finance at the School of Business and Economics (SBE), under the supervision of Prof. Dr. Rachel Pownall and Dr. Christian Wiehenkamp. As part of your PhD journey, you will also have the opportunity to collaborate with industry partners and undertake an internship at Effctl Capital GmbH in Munich, Germany.

Alongside your research, you contribute to teaching activities for approximately 20% of your appointment, supporting the next generation of finance professionals.

Are you ready to shape the future of sustainable finance? We would love to meet you.

What you bring

It’s not about ticking boxes—it’s about who you are and what you bring. Do you recognise yourself in this?

• Analytical and curious – You enjoy exploring complex financial and economic questions and turning data into meaningful insights.
• Strong academic foundation – You hold (or are close to completing) a Master’s degree in finance, economics, econometrics, or a related discipline.
• Research-driven mindset – You are motivated to contribute to academic research and publish in internationally recognised journals.
• Quantitatively skilled – You are comfortable working with empirical methods, financial datasets, and econometric techniques.
• Future-focused – You are interested in sustainability, long-term value creation, and the evolving role of finance in society.
• Collaborative by nature – You enjoy working in an international research environment and learning from different perspectives.
• Clear communicator – You express your ideas professionally in spoken and written English.

PhD Researcher Computational Neuroscience of Face Perception in Forensic Contexts

PhD Researcher Computational Neuroscience of Face Perception in Forensic Contexts

Our goal. We are looking for a PhD candidate who can bridge computational neuroscience and legal psychology. The goal of this project is to understand and model how image quality and AI enhancements affect face recognition. You will build computational models of how the brain processes faces and use them to investigate how poor image quality or AI-enhanced images affect the ability to identify a person generating both scientific insights and practical guidance for forensic settings.

Your colleagues. You will be based at the Department of Cognitive Neuroscience, with a strong collaborative tie to the Forensic Psychology Section at the Department of Clinical Psychological Science. This dual affiliation places you at a rare intersection of disciplines, embedded in an interdisciplinary and international team. You will be supervised by Dr. Mario Senden (Cognitive Neuroscience), Dr. Anna Sagana (Forensic Psychology) and Dr. Judith Peters (Cognitive Neuroscience), bringing together complementary expertise in computational neuroscience and legal psychology.

What you do
As a PhD candidate you are expected to:

• Develop biologically realistic computational models of face processing.
• Conduct behavioural experiments with human participants.
• Analyze intracranial EEG data and use it to validate computational models
• Integrate findings across computational and behavioural levels of analysis.
• Lead the effort to publish findings in high-impact peer-reviewed journals.
• Translate research insights into accessible outputs for forensic practitioners, policymakers, and other relevant stakeholders.
• Present findings at national and international scientific conferences.
• Bring a proactive, collaborative approach to working across disciplines and departments.

What you bring

• Academically well-grounded –MSc degree in (cognitive) computational neuroscience, or a related discipline. Additional background in or affinity with legal/forensic psychology is a plus.
• Strong in modelling and programming –Can translate theoretical ideas into working models with ease. Candidates with limited modelling experience but a strong drive to develop these skills rapidly are encouraged to apply.
• Experimentally minded –Experience with or a genuine interest in conducting behavioural experiments with human participants.
• Committed to open science – Committed to transparent, reproducible research and being familiar with practices such as pre-registration, open data, and open materials.
• Independent and proactive – Take ownership of your own research development.
• Fluent in English – Both in writing and in conversation and comfortable in an international academic environment.
• Collaborative and organised – Strong interpersonal skills and able to work across disciplines, and departments.

Promovendus onderwijseconomie/onderwijssociologie

Promovendus onderwijseconomie/onderwijssociologie

Uit onderzoek blijkt dat kinderen die tijdens hun kindertijd complexe medische behandelingen hebben ondergaan (zoals chemotherapie of hartchirurgie), later vaak uitdagingen ervaren in het oppakken van hun schoolloopbaan en werk.

De maatschappelijke relevantie van dit onderzoek is groot. Op dit moment ontbreekt robuuste kennis over hoe deze kinderen zich na behandeling ontwikkelen in onderwijs en samenleving. Deze inzichten zijn van groot belang voor het verbeteren van passende ondersteuning en begeleiding. De resultaten van dit project kunnen bijdragen aan meer bewustwording, betere ondersteuning en mogelijk beleidsveranderingen, met als doel de maatschappelijke participatie van deze kinderen te verbeteren.

Onderdeel van dit project is het ontwikkelen van een unieke dataset met data afkomstig van het Centraal Bureau voor de Statistiek (CBS), waarin grootschalige onderwijs- en arbeidsmarktdata worden gekoppeld aan zorgdata. Hierbij wordt de data-expertise van het ROA gecombineerd met de medische kennis van het LUMC. Met deze data kunnen kinderen die complexe behandelingen hebben ondergaan over de tijd worden gevolgd en vergeleken met leeftijdsgenoten.

De hoofdstandplaats van dit onderzoek is Maastricht. Hier ga je werken als PhD-kandidaat binnen het ROA, een van de onderzoeksafdelingen van de School of Business and Economics (SBE) van de Universiteit Maastricht. Het ROA heeft nationaal en internationaal een vooraanstaande positie in onderzoek op het gebied van onderwijs en arbeidsmarkt. Als promovendus van ROA maak je deel uit van de Maastricht Graduate School of Business and Economics (MGSBE) die het PhD-programma van ROA/SBE coördineert.

Daarnaast ga je ook regelmatig naar het Leids Universitair Medisch centrum, een toonaangevend universitair medisch centrum, om samen te werken met en te leren van de (kinder)artsen die betrokken zijn bij complexe behandelingen bij kinderen en mede-initiators zijn van dit onderzoek.

Wat jij doet

• Als promovendus draag je bij aan de opbouw van een unieke nieuwe dataset.
• Je voert zelfstandig data-analyses uit met longitudinale cohortdata om te onderzoeken in hoeverre complexe medische behandelingen samenhangen met latere uitkomsten in het leven.
• Je vertaalt deze analyses naar wetenschappelijke publicaties en beleidsbrieven.
• Je presenteert op (inter)nationale conferenties.
• Je bent de brug in deze unieke samenwerking: tussen de kwantitatieve onderzoekers bij het ROA en de zorgprofessionals bij het LUMC.
• Je bouwt een netwerk op met praktijkpartners en andere (inter)nationale onderzoekers in het veld.

Wat jij meebrengt
Het gaat ons niet om vinkjes, maar om wie jij bent en wat jij meebrengt. Herken jij jezelf hierin?

• Je beschikt over uitstekende sociale en communicatieve vaardigheden waarmee je de brug kunt slaan tussen de verschillende disciplines.
• Je werkt proactief, organisatorisch en zelfstandig, maar je staat ook open voor inzichten vanuit andere disciplines en hebt zin om te werken in een interdisciplinair team.
• Je bent gemotiveerd en beschikt over doorzettingsvermogen en een sterk verantwoordelijkheidsgevoel en je gaat zorgvuldig en integer om met vertrouwelijke informatie.
• Je hebt interesse om jezelf breder te oriënteren bijvoorbeeld ook in de gezondheidseconomie/sociologie.
• Je hebt affiniteit met het doen van empirisch onderzoek op basis van grote datasets, en hebt ervaring met statistische programma’s (bijv. Stata, R, Python, SPSS).
• Je hebt goede mondelinge en schriftelijke vaardigheden in het Nederlands en het Engels.

PhD Candidate in Computational Cardiac Modelling and Arrhythmia Risk Prediction

PhD Candidate in Computational Cardiac Modelling and Arrhythmia Risk Prediction

Our goal: Within the Vamp MD project, CARIM and FHML aim to advance personalised risk prediction for cardiac arrhythmias. As a PhD candidate, you contribute to this ambition by connecting mechanistic, organ level cardiac models with population level risk modelling.

Your colleagues: You will be embedded in the Cardiovascular Research Institute Maastricht (CARIM) and work closely with a multidisciplinary team of clinicians, experimental electrophysiologists and AI researchers across the Netherlands, the United Kingdom (Dr. Fu Siong Ng) and France (Dr. Laura Bear). In Maastricht, you will work alongside a fellow PhD candidate who covers the clinical analysis side of the project.

What you do
You are the primary computational modeller of the Dutch team in an international consortium. Your research focuses on integrating electrical and structural cardiac data and translating mechanistic insights into improved risk prediction models. Your tasks and responsibilities are:

• Develop patient specific organ level cardiac models integrating ECGI with MRI/CT derived structural data.
• Extend population level Markov models for sudden cardiac death risk using novel electro structural features.
• Connect organ level mechanistic insights with population level risk prediction as the core contribution of your PhD.
• Validate models using clinical outcomes, experimental data and epidemiological datasets.
• Support ECGI data collection at Maastricht UMC+.
• Collaborate with international partners in France and the United Kingdom.
• Publish scientific papers and present your work at conferences.

The project includes international research visits and extended collaboration with partners abroad, including an extended research visit to IHU-Liryc Bordeaux for experimental validation.

Are you ready to set the course for the years ahead? Then we’d love to meet you.

What you bring
We’re not looking for checkboxes; we’re interested in who you are and what you bring. Do you recognize yourself in this?

• Master’s degree in (Bio)medical Engineering, Clinical Technology, Applied Mathematics, Physics, Computer Science or a related computational field (Medical Doctors with

computational expertise are also encouraged to apply).

• Strong programming skills (e.g. Python, MATLAB, C++).
• Experience with or strong interest in computational and mathematical modelling.
• Interest in cardiac physiology and disease mechanisms.
• Excellent written and spoken English (Dutch is beneficial but not required).
• Strong analytical skills and the ability to work independently within an international team.