Cao universiteiten salarisschalen 2020


  • Startsalarissen HBO / WO
  • Dutch university terms and conditions of employment in brief
  • Startsalarissen HBO / WO
  • ‘Werving internationale studenten tast reputatie hoger onderwijs aan’
  • Dutch university terms and conditions of employment in brief
  • Vergelijk je salaris met je CAO
  • Startsalarissen HBO / WO

    Privacy statement Characterization methods for antenna-in-package applications at mm-wave frequencies Due to the need for ever more bandwidth in wireless communication, the next generation communication standard 6G is set to operate at frequencies beyond GHz. From an electronic packaging point of view, this will mean a widespread adoption of antenna-in-package AiP type of devices where a n phased array antenna system is integrated directly into the device package. This high level of integration, combined with high operational frequencies, poses several challenges — not only for the manufacturing but also for the characterization of materials and performance of the AiPs.

    At these high frequencies, material characterization and over-the-air device measurement simultaneously become more crucial and more challenging. For this reason, CITC and Antennex started a collaboration to address the characterization needs for these kinds of packaging applications. Leveraging decades of research and experience from Eindhoven University of Technology, Antennex addresses these measurement issues with a variety of characterization and measurement tools and services that can support the development of novel packaging technologies and concepts at CITC.

    This joint talk takes a look at the various challenges and needs that occur, and different ways to characterize AiPs and materials at frequencies up to GHz, including miniaturized anechoic and reverberation chambers and material characterization techniques. He also coordinates the ultra-high-data-rate track in the Centre for Wireless Technology Eindhoven. His research interests include antenna measurements in reverberation and anechoic chambers, channel sounding and emulation, and RF material characterization, with a main focus on reverberation chamber-based measurement techniques in the mm-wave range.

    She has a background in solid-state physics and obtained her PhD degree from Radboud University in Nijmegen. Preventing regressions for software changes What does this part of my software do? How does it behave in different situations? And why does a software change cause a regression in a seemingly unrelated part of my system? Understanding software behavior is becoming more and more essential to handle the complexity of high-tech systems. ESI developed and applied model inference to automatically obtain software behavior models that provide valuable insights.

    These models can be compared to quickly determine the impact of software changes on the system behavior, and locate potential regressions before the software is deployed. How can this help you? His research area is software behavior.

    He makes academic formal methods ready for industrial use through applied research, bringing academia and industry together for win-win collaboration and creating real impact together. It is platform-independent both in the way you train and capture your neural networks and in the hardware component on which you map the IP core. Ramses Valvekens is managing director of Easics since the management buy-out in Besides his role as CSO, active in the NearbAI product line of low-latency embedded neural network inference engines, he also takes up a system architect role, focusing on technology selection, project risk reduction and cost-effective mixed-signal ASIC and FPGA design trade-offs.

    He is co-inventor of two telecom patents. Based on 30 years of experience in starting, advising and investing in companies, this talk shares 10 lessons that were learned the hard and costly way. Jan Bosch is a professor of software engineering at Chalmers University of Technology in Gothenburg, Sweden, and director of the Software Center, a strategic collaboration between 17 large European companies including Ericsson, Volvo Cars, Volvo Trucks, Saab Defense, Scania, Siemens and Bosch and five universities focused on digitalization.

    He also holds a part-time position as professor of AI engineering at Eindhoven University of Technology, the Netherlands. Technology organization processes: how to transform while keeping the shop open To keep your competitive edge, you need to innovate, which means to transform your organization to adopt new technologies to perform better in the end. In practice, this is very challenging.

    What is the added value of the new technology? What processes do you need to create or adapt to capture this added value? What is the impact on your teams and their required skills and mindsets? These are three major questions that you need to address when considering new technology to improve business. At Thermo Fisher Scientific, we are working on using model-based testing techniques to manage the complexity of developing, testing and maintaining the interfaces between software components.

    These techniques enable via modeling the automatic generation and execution of test cases. Thermo Fisher Scientific is a large organization, their software is complex, their market is highly competitive and their customers highly demanding. At the end, the main question remains: how do we effectively explore and discover the added value of a technology like model-based testing, the processes and the skills required to succeed?

    Julien Schmaltz is a principal consultant at ICT Group guiding customers in the digitalization of their software engineering process. Before joining ICT, he was an associate professor in computer science at Eindhoven University of Technology conducting research and education in the field of model-driven engineering with applications to hardware and software systems.

    Together with universities, he is actively engaged in facilitating the transfer of technology created by academic research to the market through cooperation with students and spin-off companies.

    Arjen Klomp is responsible for software technology, integration and test at Thermo Fisher Scientific in Eindhoven. He joined the company in After his graduation in computer science from the University of Twente, he had various roles in software development, starting as a developer and then growing into architecture and technical leadership roles.

    In these roles, he worked on a variety of products ranging from high-volume consumer products to low-volume high-tech products. The common thread always was and is to find innovative and better ways to develop software, either with new technologies or quickly adopting new ways of working. Diagnosis and health assessment for zero unscheduled downtime Reasoning from the symptoms towards the cause of an unwanted behavior diagnostics of a complex high-tech system is a difficult brain teaser — potentially a very expensive one: every minute matters.

    It also sketches how this approach can evolve into predictive maintenance. Leonardo Barbini is a research fellow at ESI working in the areas of probabilistic reasoning and knowledge engineering for diagnostics and prognostics of high-tech systems. His main research interest is developing a set of computational tools that allow humans to quicker resolve machine problems.

    Emile van Gerwen is a research fellow at ESI. He has a strong industrial background in software-centric high-tech systems. His passion is bringing mathematical sound principles into the jungle of practical system engineering.

    The areas he worked in include probabilistic decision support systems, error-free event-driven control software and diagnostic reasoners that combine design knowledge with machine sensor data. This has resulted in a significant large and complex codebase.

    In the dynamic development environment of ITEC, we started rejuvenating our codebase for more efficient and structured code development.

    For this, we have started a partnership with ESI in the Bright program. One of the goals is to rejuvenate our codebase by applying innovative tooling to support the software refactoring tasks. This talk will present the activity of automatically transferring visual inspections integrated in the Adat die bonder software application. Since there are many instances of visual inspection tasks connected up to 14 camera positions in this system, the main challenge was to run data-driven code analysis to learn the specific instance of inspection calls in the application.

    By doing automatic transformations, a serious development speed-up, an improved code quality and a more maintainable code base have been achieved. Raymond Rosmalen has more than 20 years of experience in the field of machine vision. Currently, he is the machine vision technology architect at ITEC.

    ITEC develops back-end semiconductor assembly equipment with integrated and standalone machine vision solutions. The main challenge is the increasing quality inspection criteria combined with the increasing system speed requirements to achieve lowest cost of ownership.

    This requires highly efficient and optimized inspection solutions and a continuous drive to explore new vision technologies. Resilience in evolving software systems Imagine a system that, once turned on, will stay operational for the rest of its life. Hardware parts may break or go obsolete, software components may crash, cyber attacks are part of everyday life and knowledge of the system itself becomes volatile.

    Critical systems in general are software intensive and have life times of 30 years and longer. Just imagine how such systems should be designed and what challenges we have to conquer. Together with partners, Thales has developed an open architecture Inaetics in that addresses these challenges. Today, a number of areas for improvements have been identified and put on the agenda for the Inaetics Extended project. This talk will present the challenges we need to conquer.

    In his role of chief software architect, he is responsible for all technological, process, methodology, architectural and innovation-related aspects concerning the development of real-time embedded radar sensor software. This talk will take you along the path that she followed, from the duct-taped prototype to Picoo today. Iris Soute is the inventor and co-founder of Picoo. Originally trained as a mechanical engineer, she worked for 3 years at Philips as a software engineer.

    Then she returned to the university to study user interaction design, followed by a PhD in industrial design. Currently, she is CEO of Picoo; she manages general affairs and is responsible for game design, strategic planning and customer relations.

    Managing complexity of high-tech systems — the next generation The Dutch high-tech equipment builders are all leaders in their markets, owing to their strength to handle the complexity of the systems they create. This talk will discuss how the industry must now prepare for the next levels of complexity, as their systems are getting integrated in complex workflows effectively becoming systems-of-systems , are including more and more AI and are becoming subject to continuous upgrades.

    This calls for a new generation of methodologies and ways-of-working, like MBSE model-based systems engineering and open-source tooling. In addition, it calls for quickly getting a new generation of engineers up to speed, moving from intricate and outdated documentation to models as means to quickly capture and share the essence of complex systems. And finally, it raises the question how to educate the next generation of engineers to equip them with the systems thinking skills needed to deal with this next generation of complexity.

    Why you want to create a highly effective engineering environment to unleash your software engineers Products are becoming more complex, companies are continuously pressured to accelerate their product development process, regulations are becoming more strict, new engineering technologies and methodologies are introduced to the market in a constant pace, software is becoming dominant in the value creation of products.

    On top of this, the shortage of engineers is becoming a limiting factor for the time to market of products. A paradigm shift is needed in the thinking of companies to address these challenges. Hyper-scaled automation is key to answer these challenges. Steps towards this far-reaching engineering automation have been taken in the development of software for Nearfield Instruments.

    Focusing on the increase of the value creation per engineer, Capgemini shifted efforts to maximize the results of reasoning, analyzing, validating and verifying the engineering process by applying a range of automation solutions. The resulting environment combines cost-effectiveness with high productivity and high quality and, as a bonus, frees up scarce highly qualified engineers for value creation.

    Since the beginning of , Arjen van Elteren is lead software architect at Nearfield Instruments. Taking formal methods mainstream In academia, we refer to computing science. In industry, we refer to software engineering.

    An engineer is a skilled technician who develops and applies scientific knowledge to solve technological problems. Too often in practice software people must resort to skillful tinkering as opposed to sound engineering. The language offers built-in verification and allows for reasoning about both the problem and the solution.

    From , he worked as a software engineer at Philips CFT. From , he was a software engineer and team lead at Philips Research. Developing for safety and security Software systems have exploded in complexity, leading to an enormous increase in the number of vulnerabilities available for exploitation by bad players.

    This effects safety as safety and security are inexorably linked.

    Dutch university terms and conditions of employment in brief

    Universiteitspersoneel werkt structureel over. De Arbeidsinspectie moet een onderzoek instellen naar het overwerk. Hoogleraren en docenten maken de meeste overuren. Het leidt tot stress, slaapgebrek, fysieke en psychische klachten. Binnen twee weken stond de teller op meldingen. Werkgevers doen het overwerk vaak af als incidenten, maar dit laat een structureel probleem zien.

    Het overwerk is het hoogst onder docenten met alleen een onderwijstaak en onder hoogleraren: zij werken ruim 45 procent meer uren dan waarvoor ze zijn aangesteld. Daarna volgen de universitaire hoofd docenten met 36 procent. Daar kreeg ik echt te weinig tijd voor. Alleen als je dezelfde colleges geeft, lukt het misschien in de ingeplande tijd. Maar, je moet ook inlezen, nieuwe cursussen doen en je colleges aan nieuwe literatuur aanpassen.

    Zeker jonge docenten zijn daar meer tijd mee kwijt. Daarnaast gaven informele afspraken stress. Het maakte niet uit of je dertien of vijftig studenten hebt, maar vaak zijn tentamens de piekmomenten omdat dan een nieuw cursusblok begint en je dat ook moet voorbereiden.

    Doordeweeks zijn ze meer tijd kwijt aan het geven van onderwijs. Het is een competitie. Bijna de helft van de melders heeft slaapproblemen, is oververmoeid of uitgeput. Meer dan de helft van de promovendi, postdocs, universitair docenten ervaart stress en kampt met psychische klachten. Ook sociale contacten schieten er bij in. Dat zijn medewerkers die wel ziek zijn, maar zich niet ziek melden. Wij denken dat de omvang daarvan veel groter is dan nu naar voren komt.

    Daarnaast zijn er structurele investeringen nodig van het kabinet. In waren er al plannen van aanpak om de werkdruk te verlichten, maar het neemt eerder toe dan af. Het grootste deel van de melders denkt ook niet dat hun overwerk de komende jaar gaat veranderen. Als je langdurig ziek raakt, komt er veel op je af. De vrijwillige wia-begeleiders van de Een vmbo in een Rotterdamse achterstandswijk doet er alles aan om een veilig Dat is een jaar later dan het ministerie van

    Startsalarissen HBO / WO

    Daar kreeg ik echt te weinig tijd voor. Alleen als je dezelfde colleges geeft, lukt het misschien in de ingeplande tijd. Maar, je moet ook inlezen, nieuwe cursussen doen en je colleges aan nieuwe literatuur aanpassen. Zeker jonge docenten zijn daar meer tijd mee kwijt.

    ‘Werving internationale studenten tast reputatie hoger onderwijs aan’

    Daarnaast gaven informele afspraken stress. Het maakte niet uit of je dertien of vijftig studenten hebt, maar vaak zijn tentamens de piekmomenten omdat dan een nieuw cursusblok begint en je dat ook moet voorbereiden.

    Doordeweeks zijn ze meer tijd kwijt aan het geven van onderwijs. Het is een competitie. Bijna de helft van de melders heeft slaapproblemen, is oververmoeid of uitgeput.

    Dutch university terms and conditions of employment in brief

    Meer dan de helft van de promovendi, postdocs, universitair docenten ervaart stress en kampt met psychische klachten. Ook sociale contacten schieten er bij in.

    Dat zijn medewerkers die wel ziek zijn, maar zich niet ziek melden. Wij denken dat de omvang daarvan veel groter is dan nu naar voren komt.

    Vergelijk je salaris met je CAO

    Daarnaast zijn er structurele investeringen nodig van het kabinet. Read more Work and private life It is important that you have enough space to relax next to your work.

    A good work-life balance ensures balance in your life. Sometimes your work is more in the foreground. Read more Work and health The university does a lot to ensure that you work as safely and healthily as possible.

    The working conditions policy is aimed at preventing you from being overburdened mentally or physically. Read more Termination of employment Your job at the university can end because your temporary contract expires, because you retire or because of a reorganization. Read more Pension What does a job at the university mean for the accrual of your pension?


    Cao universiteiten salarisschalen 2020