Vacatures

Elke schooldag verzorgen ruim 2.900 professionals voor ruim 23.500 jonge mensen onderwijs op een van de 25 scholen van Stichting Limburgs Voortgezet Onderwijs (LVO). LVO is een onderwijsorganisatie met scholen voor voortgezet onderwijs verspreid over heel Limburg, plus een school in Brabant, van vmbo tot en met het gymnasium. Wij hebben de ambitie om te zorgen voor het best denkbare onderwijs voor onze leerlingen. Op onze scholen ontdekt en ontwikkelt de leerling in een veilige omgeving zijn talenten, onder begeleiding van bevlogen docenten en ondersteunend personeel. Betrokken mensen die stáán voor het verzorgen van het best denkbare onderwijs en de ambitie hebben om ervoor te zorgen dat elke leerling een geweldige tijd heeft op school.   Vacature biologie (nr 14.641)   Weet jij jouw fascinatie over alles wat leeft op aarde enthousiast over te brengen op onze leerlingen? Kun jij hen inspireren om met een onderzoekende houding zo veel mogelijk te leren? Geniet jij er van om jouw kennis en passie voor biologie over te brengen op de leerlingen?

Van eerste cel tot oerwoud, als docent biologie weet jij exact uit te leggen hoe het is ontstaan. Wij zoeken een gepassioneerde 2de graads docent biologie. Voortplanting, genetica, evolutie en ecologie zijn voor jou herkenbare begrippen als bevlogen docent biologie. Jij weet als geen ander de leerlingen te motiveren en enthousiasmeren voor de mirakelen van de biologische wereld. Je bent verantwoordelijk voor het geven van boeiende en eigentijdse lessen biologie aan onze leerlingen. Je kijkt naar de verschillende behoeften die er zijn binnen de klas en speelt daarop in met passende werkvormen, zodat leerlingen in hun eigen tempo kunnen werken. Je creëert tevens een veilige en uitdagende leeromgeving die aansluit op de huidige generatie. Je bent flexibel, initiatiefrijk en bereid om te experimenteren als het gaat om vakinhoud. Je werkt nauw samen met collega’s binnen je team en sectie en draagt op een constructieve manier bij aan de organisatie als geheel.

Wij vragen

• Je bent een enthousiaste docent die het als een uitdaging ziet om leerlingen te binden en te boeien voor het vak biologie
• Je hebt ervaring in het geven van lessen in het vak biologie
• Je werkt graag met jonge mensen en weet hen door een oprechte nieuwsgierige houding te motiveren en te stimuleren om het beste uit zichzelf te halen
• Je hebt een tweedegraads onderwijsbevoegdheid in het vak biologie
• Je bent gericht op een brede samenwerking binnen de vaksectie en bent daarnaast ook flexibel, zelfstandig en ondernemend.

Wij bieden
een uitstekend pakket aan arbeidsvoorwaarden binnen een prettige werkomgeving:

• een goed salaris, 8% vakantiegeld én een 13e maand
• 12 weken vakantieverlof per jaar
• een persoonlijkbudget, van 90 uren per jaar (op fulltime basis) voor het vergroten van de werkbalans
• de mogelijkheid om fiscaal voordelig een fiets, tablet, telefoon of fitnessabonnement te kopen
• volledige vergoeding van de premie voor gedeeltelijke arbeidsongeschiktheidsverzekering
• ruimte om jezelf te ontwikkelen door cursussen en trainingen met je professionaliseringsbudget

Een werkplek op één van onze mooie scholen, wat wil je nog meer?

Geïnteresseerd?
Herken je jezelf in bovenstaand profiel? Dan ontvangen wij graag je cv en motivatie. Dat kan heel eenvoudig en snel via de knop “Solliciteren”. Wanneer je eerst nog vragen hebt kun je contact opnemen met Lea Steenhagen, via e-mail l.steenhagen@stichtinglvo.nl.  

Elke schooldag verzorgen ruim 2.900 professionals voor ruim 23.500 jonge mensen onderwijs op een van de 25 scholen van Stichting Limburgs Voortgezet Onderwijs (LVO). LVO is een onderwijsorganisatie met scholen voor voortgezet onderwijs verspreid over heel Limburg, plus een school in Brabant, van vmbo tot en met het gymnasium. Wij hebben de ambitie om te zorgen voor het best denkbare onderwijs voor onze leerlingen. Op onze scholen ontdekt en ontwikkelt de leerling in een veilige omgeving zijn talenten, onder begeleiding van bevlogen docenten en ondersteunend personeel. Betrokken mensen die stáán voor het verzorgen van het best denkbare onderwijs en de ambitie hebben om ervoor te zorgen dat elke leerling een geweldige tijd heeft op school.   Docent Nask/natuurkunde (vac.nr. 14.614)   Binnen onze schoolmuren gebeuren veel mooie dingen. Dingen die wij heel normaal vinden, maar die stiekem best bijzonder zijn. Wordt onderdeel van ons team, dan kun je hier ook een belangrijke bijdrage aan leveren!
Wij zoeken voor Het Kwadrant een gepassioneerde 2e graads docent Natuurkunde die de aandacht van leerlingen vast kan houden door de lesstof levendig en concreet te maken. Met jouw kennis en kunde als basis leren jouw leerlingen hoe alles uiteindelijk een logische verklaring heeft. Je bent verantwoordelijk voor lessen natuurkunde en weet onze leerlingen te prikkelen om een onderzoekende houding aan te nemen. Je geeft eigentijdse lessen, weet de verschillende behoeften van jouw leerlingen te onderscheiden en speelt hierop in met passende werkvormen. Je bent flexibel, initiatiefrijk en bereid om te experimenteren als het gaat om vakinhoud. Je bent een enthousiaste docent, maar tegelijkertijd ook een prettige collega om mee samen te werken. Je levert op een constructieve manier jouw steentje bij binnen je team, de sectie en de organisatie als geheel.

Medewerkers van Het Kwadrant ontvangen een tijdelijke arbeidsmarkttoelage bovenop het salaris.

Wij vragen
Een enthousiaste docent die het als een uitdaging ziet om leerlingen te binden en te boeien voor het vak Natuurkunde;
Ervaring in het geven van lessen in het vak Natuurkunde;
Iemand die het leuk vindt om te werken met jongeren tussen de 12 en 16 jaar en hen door een oprechte nieuwsgierige houding weet te motiveren en te stimuleren om het beste uit zichzelf te halen;
Je bent vakinhoudelijk, pedagogisch en didactisch sterk;
Een tweedegraads onderwijsbevoegdheid in het vak Natuurkunde;
Gerichtheid op een brede samenwerking met een collega uit de sectie natuurkunde.

Wij bieden
een uitstekend pakket aan arbeidsvoorwaarden binnen een prettige werkomgeving:

• een goed salaris, 8% vakantiegeld én een 13e maand
• 12 weken vakantieverlof per jaar
• een persoonlijkbudget, van 90 uren per jaar (op fulltime basis) voor het vergroten van de werkbalans
• de mogelijkheid om fiscaal voordelig een fiets, tablet, telefoon of fitnessabonnement te kopen
• volledige vergoeding van de premie voor gedeeltelijke arbeidsongeschiktheidsverzekering
• ruimte om jezelf te ontwikkelen door cursussen en trainingen met je professionaliseringsbudget

Een werkplek op één van onze mooie scholen, wat wil je nog meer?

Geïnteresseerd?
Herken je jezelf in bovenstaand profiel? Dan ontvangen wij graag je cv en motivatie. Dat kan heel eenvoudig en snel via de knop “Solliciteren”. Wanneer je eerst nog vragen hebt kun je contact opnemen met Nicole Janssen (managementassistente), telefoonnr. 0495-513666.  

The Department of Data Analytics and Digitalisation is looking for an assistant/associate professor with a strong academic track record in theoretical and applied work in statistical learning or related areas, preferably with affinity with applications in business, economics and/or finance.

 

Job Description
The Assistant or Associate Professor contributes high quality research and education to the department and is committed to collaborate with other researchers within SBE as well as beyond. 

 

Responsibilities:

• Teaching: The candidate is expected to deliver high-quality and engaging lectures, tutorials, and workshops and coordinating courses in the areas of data analytics  and digitalisation to undergraduate, graduate, and postgraduate students.
• Research: Conducting innovative and impactful research in the field of statistical learning or related areas. The candidate is expected to contribute to funding acquisition and write grant proposals. 
• Curriculum Development: Collaborating with the faculty to develop and update course materials, ensuring they align with the latest advancements in the field.
• Student Supervision: Providing guidance and mentorship to undergraduate and postgraduate students on research projects, theses, and dissertations.

Requirements

• Educational Background: A PhD degree in econometrics, statistics, data science, computer science, operations research, mathematics, artificial intelligence or closely related fields.
• Teaching Experience: Prior experience in teaching data analytics and digitalisation courses at the university level is preferred.
• Research Track Record: The ideal candidate should have commitment to excellence in research, with a strong affinity for applied research and industrial projects. They should have proven expertise in data analytics and digitalization, demonstrated through publications, conference proceedings, and ongoing projects.
• Technical Skills: Proficiency in programming languages and a sound understanding of data analytics tools and technologies are desired.
• Communication: Excellent written and verbal communication skills in English are required. The department appreciates an open mind to multidisciplinary research and the ambition to combine rigor with relevance.

 

 What we offer
As Assistant/Associate Professor in Statistical Learning at School of Business and Economics, you will be employed by the most international university in the Netherlands, located in the beautiful city of Maastricht. In addition, we offer you:

• Good employment conditions. The position is graded in scale 11 according to UFO profile Lecturer 2, with corresponding salary based on experience ranging from € 4.537 and € 6.209 gross per month (based on a full-time employment of 38 hours per week). In addition to the monthly salary, an 8.0% holiday allowance and an 8.3% year-end bonus apply.
• An employment contract for a period of 18 months with a scope of 1,0 FTE. 
• At Maastricht University, the well-being of our employees is of utmost importance, we offer flexible working hours and the possibility to work partly from home if the nature of your position allows it. You will receive a monthly commuting and internet allowance for this. If you work full-time, you will be entitled to 29 vacation days and 4 additional public holidays per year, namely carnival Monday, carnival Tuesday, Good Friday, and Liberation Day. If you choose to accumulate compensation hours, an additional 12 days will be added. Furthermore, you can personalize your employment conditions through a collective labor agreement (CAO) choice model. 
• As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity for UM employees to participate in company fitness and make use of the extensive sports facilities that we also offer to our students. 
• Last but certainly not least, we provide the space and facilities for your personal and professional development. We facilitate this by offering a wide range of training programs and supporting various well-established initiatives such as 'acknowledge and appreciate'. 
   

The terms of employment at Maastricht University are largely set out in the collective labor agreement of Dutch Universities. In addition, local provisions specific to UM apply. For more information, click here.

Maastricht University
Why work at Maastricht University?
At Maastricht University (UM), everything revolves around the future. The future of our students, as we work to equip them with a solid, broad-based foundation for the rest of their lives. And the future of society, as we seek solutions through our research to issues from all around the world. Our six faculties combined provide a comprehensive package of study programmes and research.

In our teaching, we use the Problem-Based Learning (PBL) method. Students work in small groups, looking for solutions to problems themselves. By discussing issues and working together to draw conclusions, formulate answers and present them to their peers, students develop essential skills for their future careers.

With over 22,300 students and more than 5,000 employees from all over the world, UM is home to a vibrant and inspiring international community.

Are you drawn to an international setting focused on education, science and scholarship? Are you keen to contribute however your skills and qualities allow? Our door is open to you! As a young European university, we value your talent and look forward to creating the future together.

Click here for more information about UM. 

The School of Business and Economics
The School of Business and Economics (SBE) is one of Maastricht University’s six faculties. Our mission is to contribute to a better world by addressing societal problems, by co-creating knowledge and developing team players and leaders for the future.

By joining SBE, you will be part of the 1% of business schools worldwide to be Triple Crown accredited (EQUIS, AACSB and AMBA). You will join an inspiring and international environment, where learning and development is priority. 

 
Department

The department of Data Analytics and Digitalisation (DAD) connects data science (mathematics, statistics, computer science, artificial intelligence) with business and economics research (finance, accounting, marketing, information management, operations, micro- and macroeconomics, policy design). We are responsible for conducting top-level research in data science for business and economics ranging from fundamental theoretical studies to applied industrial projects. We work in fields including machine learning, statistics, optimization, business intelligence, network science and digital transformation.

Curious?

Are you interested in this exciting position but still have questions? Feel free to contact Tom van der Zanden or Ron Triepels at T.vanderZanden@maastrichtuniversity.nl / R.Triepels@maastrichtuniversity.nl for more information. Do you have any questions regarding the procedure, please contact Manon Souren-Huppertz (Recruiter) at manon.souren@maastrichtuniversity.nl.

Applying?
Or are you already convinced and ready to become our new Assistant/Associate Professor in Statistical Learning? Apply now, no later than June 08, 2025, for this position.

 

Please upload your CV, motivation letter, two letters of recommendation, research plan and publication list. 

 

Maastricht University is committed to promoting and nurturing a diverse and inclusive community. We believe that diversity in our staff and student population contributes to the quality of research and education at UM, and strive to enable this through inclusive policies and innovative projects led by teams of staff and students. We encourage you to apply for this position.

 

 

 

Are you thrilled by the possibility of applying brain-inspired computing paradigms to drastically reduce the computational cost of deep neural network inference and learning on resource-constrained edge computing systems? Then apply for this position as a post-doc researcher in Neuromorphic Edge AI at the Department of Advanced Computing Sciences (DACS), part of the Faculty of Science and Engineering at Maastricht University. 

 

The successful candidate will design new hardware-aware neuromorphic algorithms to optimize deep neural network inference and online adaptation on neuromorphic hardware. The candidate will co-design and demonstrate the algorithms on edge AI applications with different modalities, including but not limited to event-based vision, biomedical signals, and language processing.

 

Job Description
You will conduct research on neuromorphic computing for energy-efficient edge AI. More specifically, you will work on advancing the efficiency of neuromorphic networks by applying brain-inspired computing paradigms including dynamic activation sparsity, low-precision arithmetic, and asynchronous processing. You will start by working on developing sparse neuromorphic neural network algorithms for efficient inference of vision and language models, followed by extending your findings to new on-device learning methods for efficient continual learning on the edge. You will work closely with neuromorphic hardware, including Intel Loihi2, SpiNNaker2, Innatera T1, imec SENECA, and event-based cameras.

 

Your tasks will include:

1. Perform scientific research in neuromorphic computing for edge AI.
2. Participate in joint collaborative projects with universities and companies.
3. Participate in grant acquisition for European and Dutch research fundings.
4. Publish results at top-tier (international) conferences and in international journals.
5. Present the results in internal research group meetings as well as national and international scientific conferences.
6. Assist with educational tasks (e.g., supervise bachelor and master students, and research assistants).

 

We encourage collaboration and you will also benefit from a supportive local research community as well as a strong industry and research network.

 

Requirements

• PhD (completed, or to be completed shortly) in Neuromorphic Computing, Deep Learning, Artificial Intelligence, Embedded Systems, or a related field.
• Demonstrated (e.g., through publications, code, projects, etc.) interest and experience with the field of neuromorphic computing, and at least one of the following fields: efficient deep learning, computer vision, LLM, edge computing.
• Knowledge of at least one of the following techniques and interest in developing skills in the other two:
  1. Neuromorphic spiking or event-based neural network algorithm design for computer vision, signal processing, and language processing.
  2. Efficient deep learning algorithm design for edge or embedded computing devices (e.g., quantization, pruning, knowledge distillation, network architecture search, etc.).
  3. On-device learning of neural networks on resource-constrained edge devices (e.g., gradient-free learning, real-time recurrent learning, local learning, etc.).
• Experience in programming (preferably in Python and C).
• Experience in using neuromorphic hardware and edge devices.
• Proficiency in English (oral and written).
• Excellent communication skills, and ability to collaborate in a multi-disciplinary and team-oriented research environment. 

 

What we offer
As Post-doc in Neuromorphic Edge AI at Faculty of Science & Engineering, you will be employed by the most international university in the Netherlands, located in the beautiful city of Maastricht. In addition, we offer you:

• Good employment conditions. The position is graded in scale 11 according to UFO profile Researcher, with corresponding salary based on experience ranging from €4537,00 and €6209,00 gross per month (based on a full-time employment of 38 hours per week). In addition to the monthly salary, an 8.0% holiday allowance and an 8.3% year-end bonus apply.
• An employment contract for a period of 24 months with a scope of 1,0 FTE.
• At Maastricht University, the well-being of our employees is of utmost importance, we offer flexible working hours and the possibility to work partly from home if the nature of your position allows it. You will receive a monthly commuting and internet allowance for this. If you work full-time, you will be entitled to 29 vacation days and 4 additional public holidays per year, namely carnival Monday, carnival Tuesday, Good Friday, and Liberation Day. If you choose to accumulate compensation hours, an additional 12 days will be added. Furthermore, you can personalize your employment conditions through a collective labor agreement (CAO) choice model. 
• As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity for UM employees to participate in company fitness and make use of the extensive sports facilities that we also offer to our students. 
• Last but certainly not least, we provide the space and facilities for your personal and professional development. We facilitate this by offering a wide range of training programs and supporting various well-established initiatives such as 'acknowledge and appreciate'. 

The terms of employment at Maastricht University are largely set out in the collective labor agreement of Dutch Universities. In addition, local provisions specific to UM apply. For more information, click here.

Maastricht University
Why work at Maastricht University?

At Maastricht University (UM), everything revolves around the future. The future of our students, as we work to equip them with a solid, broad-based foundation for the rest of their lives. And the future of society, as we seek solutions through our research to issues from all around the world. Our six faculties combined provide a comprehensive package of study programmes and research.

In our teaching, we use the Problem-Based Learning (PBL) method. Students work in small groups, looking for solutions to problems themselves. By discussing issues and working together to draw conclusions, formulate answers and present them to their peers, students develop essential skills for their future careers.

With over 22,300 students and more than 5,000 employees from all over the world, UM is home to a vibrant and inspiring international community.

Are you drawn to an international setting focused on education, science and scholarship? Are you keen to contribute however your skills and qualities allow? Our door is open to you! As a young European university, we value your talent and look forward to creating the future together.

Click here for more information about UM. 

Faculty of Science and Engineering  
At the Faculty of Science and Engineering (FSE), we focus on themes such as circularity and sustainability, future farming, digitisation and (scientific) instrument development.  FSE's leading projects, like the Einstein Telescope Pathfinder, are sure to grab anyone's attention.  The faculty is a vibrant hub of education and research in Science, Technology, Engineering, and Mathematics (STEM) and Liberal Arts and Sciences (LAS).  At FSE, over 450 staff members and 3700 students gather to explore e exciting interdisciplinary research and educational programmes. Feel welcome, be part of our team and put your brilliant mind to work!  
 

FSE at the Brightlands Campuses  
Maastricht, Sittard-Geleen, Heerlen, and Venlo, the home of four creative Brightlands campuses, are bustling with 30,000 entrepreneurs, researchers, and students working diligently to solve global challenges. The Faculty of Science and Engineering is active on all four Brightlands campuses, and this is where our impact reaches its peak. To give you an idea of what is happening at each campus: Sittard-Geleen is home to the largest chemical site in the Euregion, while Venlo is a large hub for agri-food innovation. Maastricht is the site of the Health Campus, and Heerlen is the place to be for Smart Services.  
 

Department of Advanced Computing Sciences
The Department of Advanced Computing Sciences is Maastricht University’s largest and oldest department broadly covering the fields of artificial intelligence, data science, computer science, mathematics and robotics.  
Over 100 researchers work and study in the Department of Advanced Computing Sciences, whose roots trace back to 1987. The department’s staff teaches approximately 1250 bachelor’s and master’s students in 4 specialized study programmes in Data Science and Artificial Intelligence. Click here for more information.

Curious?
Are you interested in this exciting position but still have questions? Feel free to contact Dr. G. Tang (guangzhi.tang@maastrichtuniversity.nl) for more information.

Applying?
Or are you already convinced and ready to become our new Post-doc in Neuromorphic Edge AI? Apply now, no later than June 15, 2025 , for this position.
 

The vacancy is open for internal and external candidates. In case of equal qualifications, internal candidates will be prioritized.

Maastricht University is committed to promoting and nurturing a diverse and inclusive community. We believe that diversity in our staff and student population contributes to the quality of research and education at UM, and strive to enable this through inclusive policies and innovative projects led by teams of staff and students. We encourage you to apply for this position.

 

 

 

Are you passionate about pushing the boundaries of AI and Machine Learning on resource-constrained edge devices? Then apply for this position as a post-doc researcher in Edge AI at the Department of Advanced Computing Sciences (DACS), part of the Faculty of Science and Engineering at Maastricht University. 

We are seeking a highly motivated and talented postdoctoral researcher to join our team and contribute to cutting-edge advancements in tinyML/Edge AI. The successful candidate will design, develop, and optimize AI models for deployment on autonomous, low-power, resource-constrained edge devices.

 

Job Description

You will conduct research on novel Machine Learning (ML) and Deep Learning (DL) architectures for low-power resource-constrained edge systems, including efficient and low-latency processing of sensor data as well as energy optimization. More specifically, you will start working on the design and implementation of ML/DL architectures, including CNNs and (vision) transformers on low-power embedded systems and MCUs, including platforms like the NXP MCX N series, STM32U5, PULP/GAP9 processors, RISC-V cores and FPGAs. You will then extend your findings with automatically designed resource-constrained neural architecture search techniques. The final goal is to develop (federated) continual learning methods for edge retraining without forgetting old knowledge.

 

Your tasks will include:

1. Perform scientific research on novel architectures for edge AI algorithms and state-of-the-art AI techniques for edge devices, including model compression, quantization, neural architecture search and continual learning;
2. Publish results at top-tier (international) conferences and international journals;
3. Present the results in internal research group meetings as well as national and international scientific conferences;
4. Actively participate in grant acquisition activities;
5. Assist with educational tasks (e.g., assist labs, supervise bachelor and master students, PhD students, and internships)

 

We encourage collaboration and you will also benefit from a supportive local research community as well as a strong industry and research network.

Requirements

• PhD (completed, or to be completed shortly) in Computer Science, Electrical Engineering, Machine Learning / Deep Learning, or a related field.
• Demonstrated (e.g., through publications, code, projects, etc.) interest and experience with inference and re-training of AI and ML algorithms on edge devices
• Knowledge of at least one of the following techniques and interest in developing skills in the other two:
  1. Algorithm compression / pruning / quantization for resource-constrained environments
  2. Low-power algorithm design and optimization
  3. Resource-constrained neural architecture search and (federated) continual learning technique
• Experience in programming (Python and C/C++).
• Proficiency in English (oral and written).
• Demonstrated experience in national and/or international grant acquisition
• Excellent communication skills, and ability to collaborate in a multi-disciplinary and team-oriented research environment

 

What we offer
As Post-doc in Edge AI at Faculty of Science & Engineering, you will be employed by the most international university in the Netherlands, located in the beautiful city of Maastricht. In addition, we offer you:

• Good employment conditions. The position is graded in scale 11 according to UFO profile Researcher, with corresponding salary based on experience ranging from €4537,00 and €6209,00 gross per month (based on a full-time employment of 38 hours per week). In addition to the monthly salary, an 8.0% holiday allowance and an 8.3% year-end bonus apply.
• An employment contract for a period of 24 months with a scope of 1,0 FTE.
• At Maastricht University, the well-being of our employees is of utmost importance, we offer flexible working hours and the possibility to work partly from home if the nature of your position allows it. You will receive a monthly commuting and internet allowance for this. If you work full-time, you will be entitled to 29 vacation days and 4 additional public holidays per year, namely carnival Monday, carnival Tuesday, Good Friday, and Liberation Day. If you choose to accumulate compensation hours, an additional 12 days will be added. Furthermore, you can personalize your employment conditions through a collective labor agreement (CAO) choice model. 
• As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity for UM employees to participate in company fitness and make use of the extensive sports facilities that we also offer to our students. 
• Last but certainly not least, we provide the space and facilities for your personal and professional development. We facilitate this by offering a wide range of training programs and supporting various well-established initiatives such as 'acknowledge and appreciate'. 

The terms of employment at Maastricht University are largely set out in the collective labor agreement of Dutch Universities. In addition, local provisions specific to UM apply. For more information, click here.

Maastricht University
Why work at Maastricht University?

At Maastricht University (UM), everything revolves around the future. The future of our students, as we work to equip them with a solid, broad-based foundation for the rest of their lives. And the future of society, as we seek solutions through our research to issues from all around the world. Our six faculties combined provide a comprehensive package of study programmes and research.

In our teaching, we use the Problem-Based Learning (PBL) method. Students work in small groups, looking for solutions to problems themselves. By discussing issues and working together to draw conclusions, formulate answers and present them to their peers, students develop essential skills for their future careers.

With over 22,300 students and more than 5,000 employees from all over the world, UM is home to a vibrant and inspiring international community.

Are you drawn to an international setting focused on education, science and scholarship? Are you keen to contribute however your skills and qualities allow? Our door is open to you! As a young European university, we value your talent and look forward to creating the future together.

Click here for more information about UM. 

Faculty of Science and Engineering  
At the Faculty of Science and Engineering (FSE), we focus on themes such as circularity and sustainability, future farming, digitisation and (scientific) instrument development.  FSE's leading projects, like the Einstein Telescope Pathfinder, are sure to grab anyone's attention.  The faculty is a vibrant hub of education and research in Science, Technology, Engineering, and Mathematics (STEM) and Liberal Arts and Sciences (LAS).  At FSE, over 450 staff members and 3700 students gather to explore e exciting interdisciplinary research and educational programmes. Feel welcome, be part of our team and put your brilliant mind to work!  
 

FSE at the Brightlands Campuses  
Maastricht, Sittard-Geleen, Heerlen, and Venlo, the home of four creative Brightlands campuses, are bustling with 30,000 entrepreneurs, researchers, and students working diligently to solve global challenges. The Faculty of Science and Engineering is active on all four Brightlands campuses, and this is where our impact reaches its peak. To give you an idea of what is happening at each campus: Sittard-Geleen is home to the largest chemical site in the Euregion, while Venlo is a large hub for agri-food innovation. Maastricht is the site of the Health Campus, and Heerlen is the place to be for Smart Services.  
 

Department of Advanced Computing Sciences
The Department of Advanced Computing Sciences is Maastricht University’s largest and oldest department broadly covering the fields of artificial intelligence, data science, computer science, mathematics and robotics.  
Over 100 researchers work and study in the Department of Advanced Computing Sciences, whose roots trace back to 1987. The department’s staff teaches approximately 1250 bachelor’s and master’s students in 4 specialized study programmes in Data Science and Artificial Intelligence. Click here for more information.

Curious?
Are you interested in this exciting position but still have questions? Feel free to contact Dr. Charis Kouzinopoulos (charis.kouzinopoulos@maastrichtuniversity.nl) for more information.

Applying?
Or are you already convinced and ready to become our new Post-doc in Edge AI? Apply now, no later than June 8, 2025 for this position.
 

The vacancy is open for internal and external candidates. In case of equal qualifications, internal candidates will be prioritized.

Maastricht University is committed to promoting and nurturing a diverse and inclusive community. We believe that diversity in our staff and student population contributes to the quality of research and education at UM, and strive to enable this through inclusive policies and innovative projects led by teams of staff and students. We encourage you to apply for this position.