PostDoc in AI-driven solutions for Climate Breakdown and Food Safety

Job Description
The Institute of Data Science (IDS), a research unit within the Department of Advanced Computing Sciences (DACS) is looking for a post-doctoral researcher to work on the application of data science and AI methods to address the risks of climate breakdown and its impact on food safety, using knowledge representation, reasoning and machine learning. You will join the Ambrosia project which is developing new tools and techniques to support food producers (farmers) and food processors to manage the risks concerning the interaction between climate change and food safety. The focus of the project is on mycotoxins in grains and enteric diseases in horticulture.

As part of the project, there will be the opportunity to collaborate with a number of partners across Europe, including leading research and technology organisations, as well as specialists in AI, machine learning, food safety, climate change and agrifood related information technology. The focus of the research at Maastricht will be on a) the integration of large-scale heterogenous data sets and models concerning climate projections and food safety risks in order to provide concrete advice to food producers and processors, b) applying deductive and non-deductive reasoning methods to help establish predictive and correlative models concerning food safety and climate change.

Of particular interest are candidates with an interest in the application of data science for the climate-agriculture-food-environment nexus writ large. Candidates with experience in climate data, food safety, or agricultural systems are highly encouraged to apply.

You will also be part of a dynamic research environment with access to state-of-the-art facilities and a supportive network of senior and junior researchers working on a wide range of topics in data science and artificial intelligence.

The position responsibilities will include:

• Conducting data-driven research in data science, knowledge representation and machine learning/deep learning.
• (Co-)authoring scientific, peer-reviewed papers for top conferences and journals. Present your results at conferences and workshops.
• Initiating and participating in research proposal writing.
• Contributing to department teaching activities, including supervision of PhD and MSc students.

Requirements
We are looking for an ambitious, innovative, and enthusiastic researcher with:

• PhD degree in computer science or a closely related field.
• Strong computational and data science skills evidenced by peer-reviewed publications.
• Experience working with heterogenous datasets, good knowledge of semantic technologies.
• Ability to program in Python.
• Excellent ability to write, present and communicate in English (C1 level).

PhD in Legal Psychology

Job Description
University College Maastricht (UCM) is looking for a highly motivated PhD student in Legal Psychology. In this position, you will explore the intersection of psychology and law, focusing on issues such as (false) confessions, police interview techniques, and the factors contributing to wrongful convictions. As a PhD student, you will have the freedom to propose and develop a specific research topic within these themes, under the close guidance of our experienced supervisors. This is an opportunity to contribute innovative, impactful research aimed at understanding and improving criminal investigative procedures with the ultimate goal of reducing the risk of miscarriages of justice.
UCM is the Liberal Arts and Sciences Honors College of Maastricht University that provides small-scale and personalized bachelor's education. At UCM, you will be part of a truly international yet close-knit academic community, working with students and staff from more than 50 countries; which makes for a vibrant and dynamic work place.

Key Responsibilities:

• Conduct original research on topics related to legal psychology.
• Collaborate with faculty and other researchers on interdisciplinary projects.
• Analyze data and present findings at conferences and in academic publications.
• Assist in teaching and mentoring undergraduate students.
• Participate in departmental activities and contribute to a vibrant academic community.

Requirements

• Master’s degree in Psychology or Criminology (or equivalent).
• Experience with quantitative research methods, experimental design and data analysis.
• A pro-active mindset and the ability to work both independently and collaboratively within a team.
• Ability to work systematically and project-oriented
• Excellent oral and written English communication skills.
• A passion for understanding the intersection of psychology and law.
• Willingness to teach legal psychology related courses.

Postdoctoral researcher: Building a Disease Map to study the role of neuroinflammation in Post-COVID

Job Description
We are seeking a motivated postdoctoral researcher to join our interdisciplinary, multi-center team to investigate the role of neuroinflammation in post-COVID conditions, contributing to a broader disease understanding. The project aims to map the mechanisms by which neuroinflammation, blood-brain barrier disruption, and disruption of the brain’s control over immune, autonomic, and endocrine functions contribute to symptoms observed in post-COVID patients.

As a postdoctoral researcher, you will take a leading role in the integrative systems biology work package. Your responsibilities will include building a multi-scale computational disease map to detail interactions and molecular pathways between the involved systems. You will apply advanced pathway- and network-based analyses, utilizing data from diverse sources to develop and refine the disease map. This resource aims to identify biomarker signatures that can guide diagnosis, stratify patients, and potentially inform targeted therapies.

You will collaborate closely with an interdisciplinary team at multiple universities and medical centres in the Netherlands. Your work will include synthesizing existing literature and data, building a disease map, analysing experimental data, and presenting and publishing your research findings. We also expect a readiness to take on educational duties within the department.

Responsibilities and tasks

• Develop a computational post-COVID Disease Map including molecular pathway curation, mechanistic models and network inference.
• Perform integrative data analysis using pathway and network-based approaches.
• Present findings at (inter)national conferences and publish in peer-reviewed journals.
• Collaborate with interdisciplinary team of computational biologists, experts in neuroimaging, molecular biologists, clinicians, and patient representatives.
• Contribution to grant writing activities.
• Taking on educational roles at Maastricht University.

Requirements
We are looking for a candidate with strong analytical abilities, problem-solving skills, and a collaborative mindset. The ideal candidate should be able to work independently, manage complex data, and communicate effectively within an interdisciplinary team. Candidates should be committed to scientific integrity and open, transparent research practices. Our ideal candidate has:

• A PhD in systems biology, neuroscience, molecular biology, immunology, bioinformatics, or a related field.
• Proficiency in the English language.
• Experience with computational modelling, pathway analysis, or network-based analysis is a plus.
• Proficiency in relevant programming languages (e.g., R or Python).
• Experience working with molecular or omics data, particularly in immunology or neurobiology.
• Publication record demonstrating expertise in a relevant research area.

PhD Candidate in Computational Cardiology

Job Description

Are you excited about the role of personalized computer simulations in transforming clinical care? As a PhD candidate, you will develop innovative methods to virtually optimize pacemaker settings to the needs of the patient’s heart using Digital Twin technology—just as Formula 1 teams use simulators to enhance race performance. Through the development of Digital Twins of patients’ hearts, based on baseline data from a multicentre clinical study, you will create computational models that can predict how different pacing strategies will change a patient’s cardiac pump function. This innovative approach aims to optimize pacemaker settings before device implantation, potentially transforming how we personalize cardiac resynchronization therapy (CRT) and conduction system pacing for heart failure patients.

Your research will leverage advanced computational modelling and simulation to investigate the complex interplay between cardiac electrical activation, mechanical function, and therapeutic outcomes. Through these virtual experiments, you will analyse electrical resynchronization patterns, hemodynamic performance, and how various cardiac conditions - including conduction disorders, mechanical dysfunction, structural diseases, and comorbidities - affect treatment outcomes.

This interdisciplinary project combines cardiac physiology, biomedical engineering, and clinical cardiology in a way that could reshape future clinical care. Working with state-of-the-art computational models of the human heart and circulation, you will investigate fundamental mechanisms underlying the patient’s response to conventional and innovative pacing therapies. Additionally, you will explore the role of non-invasive imaging techniques in predicting and optimizing therapy response, bridging the gap between virtual simulations and clinical application.

Your project will be embedded within the Cardiovascular Research Institute Maastricht (CARIM, www.carimmaastricht.nl), part of the Faculty of Health, Medicine, and Life Sciences at Maastricht University. Your appointment will be with the Dept. of Biomedical Engineering, a diverse department hosting people from countries all over the world, including Belgium, Croatia, Italy, Lebanon, the Netherlands, Iran, and Sudan, and is committed to creating an open, team science environment.

Requirements
Success in this project will rely on collaboration and perseverance, uniting biomedical engineering, clinical cardiology, and industry. You should have:

• A Master’s degree in (Biomedical or Mechanical) Engineering, Computer Science, Mathematics, or a related field.
• Interest in cardiovascular physiology, biophysics, and computational modelling.
• A strong desire to learn and collaborate across fields.

Enrollment Operations Officer

Job Description
The Enrollment Operations Officer plays a vital role in facilitating the administrative processes, related to admissions and student services. The role encompasses key operational functions, ensuring smooth and efficient workflows in admissions, financial management, visa processing, student support, and career services. The officer is responsible for maintaining accurate records, ensuring compliance, and supporting communication with internal departments and external stakeholders.

Key Responsibilities:

1. Admissions Process Administration

• Document Verification & Credential Evaluation: Conduct thorough checks and evaluate credentials for all incoming applications for MSM’s Master’s, Summer School, and international partner programs (China, Romania, Hungary, Indonesia, Kuwait).
• CRM Management: Maintain and update the CRM system (Full Fabric), ensuring accurate data entry for accreditation, rankings, and reporting purposes.
• Admissions Data Processing: Ensure all admissions-related data is correctly processed, stored, and accessible for student communication and decision-making. Responsible for uploading student information into the SAP system.
• Supporting tasks of interview planning, scholarship and financial support (including processing tuition fee, payment reminders etc), the visa application process, data reporting for accreditation, admissions statistics, institutional rankings, and student support tracking.

2. Student Services, Alumni and Career Support

• Alumni Data and Engagement: Maintain accurate alumni records in the database, support alumni engagement through programs like the Nexus Referral Program, and ensure consistent communication with alumni.
• Student Campaigns, Registrations, and Career Services: Assist in student information campaigns, organizing student registrations, and promoting MSM’s student and career services activities. Provide administrative support to the Career Services team, offering CV and motivation letter feedback, conducting mock interviews, and coordinating the CV Book project.
• Social Media and Policy Compliance: Support MSM social media through content creation and campaign management. Ensure compliance with MSM’s internal policies and accreditation standards, administer and analyze student satisfaction surveys, and compile insights to enhance service quality.
• Event Support and Administration: Provide logistical and administrative support for key MSM events, including Corporate Week, student orientation, and graduation, collaborating with other teams for successful execution.

Requirements
The ideal candidate has:

• A Bachelor’s Degree in Business Administration, Education, International Relations, or a related field.
• Experience in administrative roles, particularly in higher education admissions or student/career services.
• Strong organizational skills with the ability to manage multiple projects and tasks simultaneously.
• Attention to detail, especially when handling sensitive student data, financial records, and visa documentation.
• Familiarity with CRM systems and administrative tools such as SAP.
• Excellent communication skills, both written and verbal, with a strong command of English, for effective interaction with internal teams and external stakeholders.
• Ability to work independently and collaboratively as part of a team to ensure efficient administrative operations.
• Understanding of visa processes and international student requirements is a plus.