Digital Twins are increasingly recognized as a valuable method for studying complex physical systems across various scientific domains, such as environmental and earth sciences. By creating digital representations of physical systems, researchers can gain deeper insights and a better understanding of the underlying processes. Additionally, Digital Twins enable predictive studies under different hypothetical scenarios—scenarios that may be difficult or impossible to explore with physical systems alone. However, there remains a significant engineering challenge in making Digital Twins readily accessible as reliable research tools for the scientific community.
The candidate will tackle development and operational challenges associated with Digital Twin applications across distributed infrastructures. The candidate will develop AI-enhanced algorithms for modeling, integration, and optimization of Digital Twin applications on heterogeneous computing infrastructures—ranging from edge devices to hybrid and federated cloud environments. The candidate will be encouraged to apply state-of-the-art AI approaches to design innovative algorithms and generate explainable, impactful results.
The candidate will be part of the MultiScale Networked System (MNS) group, within the Informatics Institute at the University of Amsterdam. Collaborating within an interdisciplinary team comprising domain scientists, modelers, and data curators, the candidate will contribute to developing virtual research environments and infrastructure services tailored for domain specific needs of Digital Twins in the LTER-LIFE infrastructure.
Digital Twins are increasingly recognized as a valuable method for studying complex physical systems across various scientific domains, such as environmental and earth sciences. By creating digital representations of physical systems, researchers can gain deeper insights and a better understanding of the underlying processes. Additionally, Digital Twins enable predictive studies under different hypothetical scenarios—scenarios that may be difficult or impossible to explore with physical systems alone. However, there remains a significant engineering challenge in making Digital Twins readily accessible as reliable research tools for the scientific community.
The candidate will tackle development and operational challenges associated with Digital Twin applications across distributed infrastructures. The candidate will develop AI-enhanced algorithms for modeling, integration, and optimization of Digital Twin applications on heterogeneous computing infrastructures—ranging from edge devices to hybrid and federated cloud environments. The candidate will be encouraged to apply state-of-the-art AI approaches to design innovative algorithms and generate explainable, impactful results.
The candidate will be part of the MultiScale Networked System (MNS) group, within the Informatics Institute at the University of Amsterdam. Collaborating within an interdisciplinary team comprising domain scientists, modelers, and data curators, the candidate will contribute to developing virtual research environments and infrastructure services tailored for domain specific needs of Digital Twins in the LTER-LIFE infrastructure.
The researcher will focus on the computing challenges in developing quality critical distributed data-centric applications. Working in an interdisciplinary team, the candidates will
The candidate should have a master degree in computer science or relevant disciplines and fluently speak and write English. Specifically, we are interested in people with:
A temporary contract for 38 hours per week for the duration of 4 years (the initial contract will be for a period of 18 months and after satisfactory evaluation it will be extended for a total duration of 4 years). The preferred starting date is as soon as possible. This should lead to a dissertation (PhD thesis). We will draft an educational plan that includes attendance of courses and (international) meetings. We also expect you to assist in teaching undergraduates and master students.
The gross monthly salary, based on 38 hours per week and dependent on relevant experience, between € 2,901 to € 3,707 (scale P). This does not include 8% holiday allowance and 8,3% year-end allowance. The UFO profile PhD Candidate is applicable. A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The Collective Labour Agreement of Dutch Universities | Universiteiten van Nederland is applicable.
Besides the salary and a vibrant and challenging environment at Science Park we offer you multiple fringe benefits:
Are you curious to read more about our extensive package of secondary employment benefits, take a look here.
The researcher will focus on the computing challenges in developing quality critical distributed data-centric applications. Working in an interdisciplinary team, the candidates will
The candidate should have a master degree in computer science or relevant disciplines and fluently speak and write English. Specifically, we are interested in people with:
A temporary contract for 38 hours per week for the duration of 4 years (the initial contract will be for a period of 18 months and after satisfactory evaluation it will be extended for a total duration of 4 years). The preferred starting date is as soon as possible. This should lead to a dissertation (PhD thesis). We will draft an educational plan that includes attendance of courses and (international) meetings. We also expect you to assist in teaching undergraduates and master students.
The gross monthly salary, based on 38 hours per week and dependent on relevant experience, between € 2,901 to € 3,707 (scale P). This does not include 8% holiday allowance and 8,3% year-end allowance. The UFO profile PhD Candidate is applicable. A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The Collective Labour Agreement of Dutch Universities | Universiteiten van Nederland is applicable.
Besides the salary and a vibrant and challenging environment at Science Park we offer you multiple fringe benefits:
Are you curious to read more about our extensive package of secondary employment benefits, take a look here.
The Faculty of Science has a student body of around 8,000, as well as 1,800 members of staff working in education, research or support services. Researchers and students at the Faculty of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain.
The mission of the Informatics Institute (IvI) is to perform curiosity-driven and use-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component.
The Multiscale Networked Systems (MNS) group is part of the Systems and Security Lab (SNE), one of the three research clusters at the Informatics Institute. The group focuses its research on the fundamental architectural problems that arise from the interconnection of systems and data flows. We look at the emerging architectures that can support the operations of the future Internet. In particular, we focus on delivering secure and sustainable ICT services across multiple domains. Device programmability and virtualization play in this field an ever-increasing role in designing networks and ICT infrastructures. We address the interoperability challenges in supporting discovery, analysis and interoperation between heterogeneous complex infrastructures. Our vision is to build an effective ‘knowledge fiber’ to facilitate information discovery, integration, and reuse across distributed infrastructures.
The Faculty of Science has a student body of around 8,000, as well as 1,800 members of staff working in education, research or support services. Researchers and students at the Faculty of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain.
The mission of the Informatics Institute (IvI) is to perform curiosity-driven and use-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component.
The Multiscale Networked Systems (MNS) group is part of the Systems and Security Lab (SNE), one of the three research clusters at the Informatics Institute. The group focuses its research on the fundamental architectural problems that arise from the interconnection of systems and data flows. We look at the emerging architectures that can support the operations of the future Internet. In particular, we focus on delivering secure and sustainable ICT services across multiple domains. Device programmability and virtualization play in this field an ever-increasing role in designing networks and ICT infrastructures. We address the interoperability challenges in supporting discovery, analysis and interoperation between heterogeneous complex infrastructures. Our vision is to build an effective ‘knowledge fiber’ to facilitate information discovery, integration, and reuse across distributed infrastructures.
If you feel the profile fits you, and you are interested in the job, we look forward to receiving your application. You can apply online via the button below. We accept applications until and including 1 July 2025.
Applications should include the following information (all files besides your cv should be submitted in one single pdf file):
A knowledge security check can be part of the selection procedure.
(for details: national knowledge security guidelines)
Only complete applications received within the response period via the apply button will be considered.
The interviews will be held before the summer holidays.
Do you have any questions or do you require additional information? Please contact:
If you feel the profile fits you, and you are interested in the job, we look forward to receiving your application. You can apply online via the button below. We accept applications until and including 1 July 2025.
Applications should include the following information (all files besides your cv should be submitted in one single pdf file):
A knowledge security check can be part of the selection procedure.
(for details: national knowledge security guidelines)
Only complete applications received within the response period via the apply button will be considered.
The interviews will be held before the summer holidays.
Do you have any questions or do you require additional information? Please contact:
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