Product Owner

Product Owner – Value chain management & Quality Assurance

Ons doel: Het team is verantwoordelijk voor de ondersteuning en inrichting van de servicemanagementprocessen. En ondersteunt ICTS met de IT4IT-tools benodigd voor het leveren van de best mogelijke dienstverlening.
Jouw collega’s: Het team bestaat uit 7 procesmanagers (incident- en problemmanagement, configuratiemanagement, change- en releasemanagement, servicelevel management, licentiemanagement, testmanagement), 3 functioneel beheerders en een automation expert.

Wat jij gaat doen
Als Product Owner zorg je ervoor dat afspraken en procedures correct worden toegepast. Je bewaakt dit door audits en zorgt dat applicaties en systemen live blijven op een betrouwbare en consistente manier. Voor het inrichten van onze servicemanagementprocessen werken we met het ITIL 4-framework. Daarmee structureren en monitoren we werkzaamheden op basis van best practices. Tevens heb je een belangrijk aandeel in de koers van ons hele I technologie domein.

• Je draagt zorg voor de One-team gedachte waardoor er een mooi samenspel is tussen alle specialisten in je team. Jij vertegenwoordigt jouw team binnen UM en ICTS.
• Je bepaalt de inhoudelijke koers en de prioriteiten van het team op basis van input die je ophaalt bij belangrijke stakeholders binnen UM en ICTS.
• Vanuit eigenaarschap sta jij voor zorgvuldig beheer van IT4IT-tools.
• Je hebt focus op procesverbeteringen die doorgevoerd moeten worden; signaleert knelpunten in beheer -en projectwerkzaamheden en screent projectinitiatieven vanuit je deelname aan het Linking Support Team.
• Als Quality manager ondersteun je deze verbetertrajecten en de audits.
• Je bewaakt het ITIL-gedachtegoed over de gehele IT keten.
• Adviseren en rapporteren over servicemanagement-KPI’s behoort ook tot jouw verantwoordelijkheden. Je voert dan ook geregeld overleg met de scrummaster en de peoplemanager van VCM&QA.
• Je bent lid van het Domeinteam en vertaalt samen met de andere Domeinteamleden de D-strategie van de UM naar de tactische invulling van producten en diensten voor onze stakeholders;
• Je bent lid van het PO Gilde en deelt je kennis en ervaring met collega Product Owners.

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

• Ondernemerschap: Je neemt initiatief en houdt vol, ook onder druk. Je hebt een scherpe blik en durft kritisch te zijn.
• Samenwerken: Je legt makkelijk verbinding en bouwt bruggen tussen mensen en teams. Je spreekt anderen aan op hun verantwoordelijkheden en werkt samen aan oplossingen. Je bent een echte netwerker. Je bent ertoe bereid om een aantal malen per jaar als eerste aanspreekpunt te fungeren binnen de consignatiedienst van de UM.
• Klantgerichtheid: Je hebt oog voor detail en werkt accuraat en secuur. Je begrijpt de relaties tussen systemen en applicaties en denkt mee over verbeteringen.
• Communicatieve vaardigheden: Je communiceert helder en overtuigend, zowel mondeling als schriftelijk; je hebt een vlotte pen. Je straalt gezag en vertrouwen uit op basis van inhoud.
• Lerend vermogen: Je bent nieuwsgierig en ontwikkelt je continu. Je hebt snel begrip van complexe vraagstukken.

Daarnaast heb je:

• HBO- of WO-niveau.
• Je hebt kennis van Agile, projectmanagement en Lean (of wilt je hierin verdiepen). Affiniteit met IT-architectuur, privacy en security is een plus.

PhD Candidate: Cognitive Computational Neuroscience of Memory and Prediction

PhD Candidate: Cognitive Computational Neuroscience of Memory and Prediction

• Our goal: Advancing cognitive neuroscience by uncovering how memory and prediction processes can be disentangled.
• Your colleagues: You will join the Department of Neuropsychology and Psychopharmacology at the Faculty of
  Psychology and Neuroscience (FPN), supervised by Dr. Ryszard Auksztulewicz, Prof. Federico De Martino, and Prof. Sonja Kotz. You will also be part of the MBIC Graduate School, which provides additional training and networking opportunities.

Predictive processing is increasingly recognized as a key computational principle of brain function. Yet empirical studies often conflate the effects of memory and prediction on neural processing. This raises new questions: how can we disentangle the effects of memory and prediction on processing the present?

As a PhD candidate, you will systematically study simultaneous and dissociable implementation of memory and prediction in behavior and brain responses, using functional neuroimaging (simultaneous 3T fMRI and EEG), laminar neuroimaging (7T fMRI), and functional magnetic resonance spectroscopy (fMRS). You will design and optimize experimental tasks, collect and analyze neural data, and adapt computational models (e.g. decoding / connectivity) to fit the empirical data.

What you will be expected to do:

• Designing and optimizing experimental paradigms.
• Collecting and analyzing fMRI, EEG, and fMRS data.
• Fitting computational (e.g. decoding / connectivity) models.
• Collaborating with researchers at Maastricht University and beyond.
• Disseminating results through publications and conferences.
• Contributing to teaching activities (0,1 FTE).

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

What you bring:

• Strong academic background – You hold a Research Master’s degree in psychology, neuroscience, or a closely related field.
• Research experience – Experience with fMRI and/or EEG is essential; fMRS experience is an advantage. Your previous research experience should fit thematically into the topic of the project (memory and/or prediction processes).
• Curious and ambitious – You are motivated to pursue excellent scientific research and eager to grow as an independent researcher.
• Analytical and creative – You bring substantial knowledge of statistical methods (e.g. multivariate decoding / representational similarity analysis), strong analytical skills, and creativity.
• Programming skills – You are proficient in Python and/or Matlab.
• Modeling expertise – Experience with computational modeling of neural data (e.g. connectivity analyses) is an advantage.
• Excellent communication – You are fluent in English, both written and spoken, and enjoy working in a collaborative, multidisciplinary team.

Assistant Professor Science, Technology and Society Studies

Assistant Professor Science, Technology and Society Studies

• Our goal: The Faculty of Arts and Social Sciences (FASoS) aims to advance interdisciplinary research and education on societal challenges in times of transition. Within this vacancy, you will contribute to the Maastricht University Science, Technology and Society (MUSTS) research programme. Within the MUSTS research programme, we delve into the following key areas: responsible innovation, energy and environmental humanities, sound and other sensory studies, social studies of medicine, philosophy of technology. MUSTS is a highly interdisciplinary group hosting methods and approaches drawn from history, sociology, anthropology, philosophy, and STS.
• Your colleagues: You will join the Department of Society Studies (DSS), a dynamic department of approximately 45 members working in the fields of Science, Technology and Society studies and Globalisation and Development research. Within DSS, the MUSTS research programme brings together researchers from history, sociology, anthropology, philosophy, and STS, fostering a highly interdisciplinary and collaborative academic community.

As Assistant Professor, you will play a key role in strengthening the research and teaching profile of STS at FASoS. You will contribute to high-quality interdisciplinary research, attract external funding, and actively engage in teaching and academic service at the faculty.

What you do

• Conduct and contribute to research within the interdisciplinary MUSTS research programme;
• Develop (inter)national research projects and attract external research funding;
• Contribute to a collaborative and inclusive research culture within MUSTS, the Department of Society Studies, and FASoS;
• Teach, develop, and coordinate courses in BA and MA programmes, including the MA European Studies on Society, Science and Technology (ESST), the BA European Studies, and the BA Arts and Culture;
• Supervise internships, projects, and BA and MA theses;
• Take on administrative and leadership roles within the faculty;

Are you ready to help shape research and education for the years ahead? Then we would like to meet you.

What you bring
We are interested in who you are and what you contribute as a scholar and educator. Do you recognise yourself in the following profile?

• Strong STS research profile. You have an excellent research track record in Science, Technology and Society studies, with a clear focus on sustainability and environmental challenges, including their infrastructural, technological, political, knowledge, and/or material dimensions.
• Methodological expertise.You bring extensive social science methodological skills, particularly in qualitative approaches such as interviews, historical document analysis, controversy studies, community-oriented research, and (multi-species) ethnography.
• Teaching excellence and engagement. You are enthusiastic about teaching at both BA and MA level, with experience in STS education, course development, thesis supervision, and teaching in international classrooms. You are able to stimulate student learning and to maximize student participation in our system of small-scale Problem Based Learning (PBL). A University Teaching Qualification (UTQ) is preferred.
• Academic citizenship and collaboration. You actively contribute to the STS community through publications, conference participation, and involvement in professional associations, and you value collaboration and open science.
• Professional qualifications and mindset. You hold a PhD in an interdisciplinary STS-related field, have postdoctoral experience, publish in highly regarded STS journals, are fluent in English (C1 level), and are willing to learn Dutch (B1 level). You are prepared to relocate to the Maastricht region and support UM’s core values of academic citizenship, team performance, and personal and professional leadership.

PhD student on deep vein thrombosis modelling in the ThromboRisk doctoral network

• Our goal: Develop multi-level thrombosis risk prediction models that integrate cellular, thrombus, and organ-level insights.
• Your colleagues: An international team of researchers within the ThromboRisk consortium, collaborating across 10 partner universities.

Job Description
At the faculty of Health, Medicine and Life Sciences at Maastricht University, a PhD-position is available within the ThromboRisk project, which is funded by the EU’s Marie Sklodowska-Curie Actions (MSCA) Doctoral Network. The position will last 36 months and recruitment will open in May 2026. It will be hosted by Maastricht University, and will involve close collaboration with Eindhoven University of Technology (the Netherlands), as well as a 3-month secondment at University of Bern (Switzerland).

Research program description
ThromboRisk will develop an integrated platform to advance our understanding of thrombosis across biological scales, combining mechanobiology, biochemistry, pathophysiology, and computational modelling. Together with your fellow doctoral candidates you will make a unique contribution to the multi-level thrombosis risk prediction framework, addressing specific aspects of thrombus formation, growth, rupture, and clinical impact. This hands-on training will be supplemented by several scientific and professional development courses as well as an immersive training programme, in which doctoral candidates will have the opportunity to hone their skills for the jobs of tomorrow, while addressing the societal challenges of the ThromboRisk program.
The ThromboRisk consortium is funded by the European Union under Grant Agreement No. 101227706. It comprises 10 partner universities: Eindhoven University of Technology (NL), Maastricht University (NL), University of Amsterdam (NL), Catholic University Leuven (BE), Charité – Universitätsmedizin Berlin (DE), University College London (UK), Transylvania University of Brasov (RO), SANO Centre for Computational Personalized Medicine (PL), University of Leeds (UK), and University of Bern (CH).

Doctoral candidate project
Personalized hemodynamic modelling of iliofemoral vein thrombosis for prediction of residual obstruction, recurrent thrombosis, and post-thrombotic syndrome
Post-thrombotic syndrome (PTS) is a chronic complication following deep vein thrombosis (DVT), particularly in patients with iliofemoral DVT or recurrent thrombosis. Understanding flow-related mechanisms underlying residual obstruction could improve treatment strategies and lead to new interventions.

In this project, you will develop personalized in silico and in vitro hemodynamic models of venous thrombosis to predict residual obstruction, recurrence, and PTS.

• In silico models will use duplex ultrasound, MRI (acute and follow-up), biomarkers, and thrombus characteristics.
• In vitro microfluidic models will use disease-specific flow conditions and blood samples from DVT patients.

Your work will ultimately contribute to a risk prediction tool for recurrent DVT and PTS, ready for evaluation in clinical trials.

What you bring
It’s not about ticking boxes – it’s about your perspective, ideas, and drive. Does this sound like you?

• Creative and ambitious – You’re hard-working, persistent, and eager to push boundaries.
• Strong academic foundation – You have (or will have before 01-09-2026) a MSc degree in Biomedical Engineering or a related field.
• Interdisciplinary interest – You bring knowledge of, or interest in, clinical medicine and data science or biochemistry.
• Collaborative mindset – You communicate clearly and contribute positively to a research team.
• Fluent in English – You have strong spoken and written English skills (C1 level).

Eligibility criteria (MSCA regulations)

• You must not hold a doctoral degree at the time of recruitment.
• You must comply with the MSCA mobility rule: you must not have resided or carried out your main activity (work, studies, etc.) in the Netherlands for more than 12 months in the 36 months prior to the recruitment date. (Exceptions apply for certain types of residency, e.g., refugee procedure.)

PhD student on hemodialysis access modelling in the ThromboRisk doctoral network

• Our goal: Develop multi-level thrombosis risk prediction models by integrating insights from the cellular, thrombus, and organ levels.
• Your colleagues: A collaborative, international network of researchers within the ThromboRisk consortium.

Job Description
At the faculty of Health, Medicine and Life Sciences at Maastricht University, a PhD-position is available within the ThromboRisk project, which is funded by the EU’s Marie Sklodowska-Curie Actions (MSCA) Doctoral Network. The position will last 36 months and recruitment will open in May 2026. It will be hosted by Maastricht University, and will involve close collaboration with Eindhoven University of Technology (the Netherlands), as well as 3-month secondments at Siemens (Romania) and Charité (Germany).

Research program description
ThromboRisk will develop an integrated platform to advance our understanding of thrombosis across biological scales, combining mechanobiology, biochemistry, pathophysiology, and computational modelling. Together with your fellow doctoral candidates you will make a unique contribution to the multi-level thrombosis risk prediction framework, addressing specific aspects of thrombus formation, growth, rupture, and clinical impact. This hands-on training will be supplemented by several scientific and professional development courses as well as an immersive training programme, in which doctoral candidates will have the opportunity to hone their skills for the jobs of tomorrow, while addressing the societal challenges of the ThromboRisk program.
The ThromboRisk consortium is funded by the European Union under Grant Agreement No. 101227706. It comprises 10 partner universities: Eindhoven University of Technology (NL), Maastricht University (NL), University of Amsterdam (NL), Catholic University Leuven (BE), Charité – Universitätsmedizin Berlin (DE), University College London (UK), Transylvania University of Brasov (RO), SANO Centre for Computational Personalized Medicine (PL), University of Leeds (UK), and University of Bern (CH).

Your PhD project
Personalized hemodynamic modelling of arteriovenous grafts for prediction of vascular access stenosis and thrombosis
Thrombosis is a common complication of arteriovenous grafts for hemodialysis, often accompanied by venous outflow stenosis due to intimal hyperplasia from disturbed flow. Understanding which venous outflow stenoses progress and lead to graft thrombosis is crucial.
In this project, you will develop personalized in silico and in vitro hemodynamic models to predict graft thrombosis in hemodialysis patients.

Your work will involve:

1. Developing in silico models using computational fluid dynamics combined with macroscopic thrombus formation modelling.
2. Creating in vitro microfluidic or bench-top models using disease-specific flow conditions and blood from hemodialysis patients.

The project will ultimately deliver a tool for vascular access surveillance to predict patient-specific stenosis progression and thrombosis risk, ready for evaluation in clinical trials.

What you bring
It’s not about ticking boxes – it’s about your perspective, ideas, and drive. Does this sound like you?

• Creative and ambitious – You are hard-working and persistent.
• Strong academic foundation – You have (or will have before 01-09-2026) a MSc degree in Biomedical Engineering or another relevant programme.
• Interdisciplinary interest – You bring knowledge of, or interest in, vascular imaging and artificial intelligence.
• Collaborative mindset – You communicate clearly and contribute effectively within a research team.
• Fluent in English – You have strong spoken and written English skills (C1 level).

Eligibility criteria (MSCA regulations)

• You must not already hold a doctoral degree at the date of recruitment.
• You must comply with the MSCA mobility rule: you must not have resided or carried out your main activity (work, studies, etc.) in the Netherlands for more than 12 months in the 36 months preceding recruitment.
  (Exceptions apply for compulsory service, holidays, or refugee-status procedures.)