PhD in AI for reconfigurable robot collectives and real-time flow control

Introduction
How can a collective of robots become a “living”, reconfigurable infrastructure to support real-time and safe crowd management in a dynamic urban environment?

We are seeking a highly motivated PhD candidate to help us answer this question by joining the Roboflow team https://roboflow.phys.tue.nl/roboflow/, taking part in the RE-FLOW (REconfigurable robot collectives for real-time FLOW control) project. RE-FLOW, supported by the EAISI Multidisciplinary AI Research (EMDAIR) program, aims to combine control theory, robotics, applied physics, and computer science to lay the foundations for a new generation of AI-enabled robot collectives that can act as adaptive physical infrastructures.

Job Description
You will develop the intelligence layer of the RE-FLOW architecture, developing new closed-loop flow-shaping approaches to answer a central research question:

How can high-dimensional, emergent crowd dynamics and hazard information be translated into optimal and safe geometric configurations of a robot collective in real time?
Rather than controlling individual robots, you will investigate how high-level geometric structures—such as corridors, barriers, and splitters—can be synthesized automatically from observations of pedestrian flow, enabling the robot collective to act as a form of adaptive physical infrastructure that continuously reshapes itself in response to evolving crowd dynamics, hazards, and environmental changes.

Under the joint supervision of Valentina Breschi (Department of Electrical Engineering), Elena Torta (Department of Mechanical Engineering), and Federico Toschi (Department of Applied Physics and Science Education), you will develop novel methods to:

• Extract actionable information from crowd-flow observations, such as congestion patterns, bottlenecks, and indicators of reactions to emerging hazards.
• Design learning-based policies that generate safe, high-level geometric configurations for robot collectives accounting for both flow performance and physical feasibility of collective reconfiguration.
• Validate the developed methods in simulation and on TU/e’s RoboFlow robotic testbed.

This project offers a unique opportunity to work on a new research direction at the intersection of control, AI, and robotics. You will collaborate with researchers from Electrical Engineering, Computer Science, Applied Physics, and Mechanical Engineering and become part of the vibrant AI ecosystem of TU/e and the Eindhoven Artificial Intelligence Systems Institute (EAISI).

Job Requirements
We are looking for candidates with:

• A Master's degree in Robotics, Control Systems, Electrical Engineering, Artificial Intelligence, Computer Science, Applied Mathematics, or a related discipline. Strong analytical and mathematical skills.
• Experience with control, machine learning, or optimization.
• Excellent programming skills, preferably in Python.
• Good communication skills and the ability to work in an interdisciplinary research team.

Experience with Reinforcement Learning, Model Predictive Control, robotics, or multi-agent systems is considered an advantage.

Conditions of Employment
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• Full-time employment for four years, with an intermediate assessment after nine months. You will spend a minimum of 10% of your four-year employment on teaching tasks, with a maximum of 15% per year of your employment.
• Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. € 3,059 - max. € 3,881).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• Unlimited access to the modern on‑campus TU/e Student Sports Center at an exceptionally affordable rate.
• An allowance for commuting, working from home and internet costs.
• A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

On our website you can discover even more information about our conditions of employment. Build on your career at TU/e!

About us
We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact — today and in the future. TU/e is home to over 13,000 students and more than 7,000 staff, forming a diverse and vibrant academic community.

Our university is located in Brainport Eindhoven — a world‑leading tech region with more than 7,000 high‑tech companies and strong R&D activity. Known for breakthroughs in AI, photonics, semiconductors and advanced manufacturing, Brainport is a place where technology serves people and society. Learn more about the Brainport region here.

The mission of the Department of Electrical Engineering is to acquire, share and transfer knowledge and understanding in the whole field of Electrical Engineering through education, research and valorization. We work towards a ‘Smart Sustainable Society’, a ‘Connected World’, and a healthy humanity (‘Care & Cure’). Activities share an application-oriented character, a high degree of complexity and a large synergy between multiple facets of the field.

Research is carried out into the applications of electromagnetic phenomena in all forms of energy conversion, telecommunication and electrical signal processing. Existing and new electrical components and systems are analyzed, designed and built. The Electrical Engineering department takes its inspiration from contacts with high-tech industry in the direct surrounding region and beyond.

The department is innovative and has international ambitions and partnerships. The result is a challenging and inspiring setting in which socially relevant issues are addressed.

Information
Do you recognize yourself in this profile and would you like to know more?

Visit our website for more information about the application process. You can also contact dr. Valentina Breschi v.breschi@tue.nl.

Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view the video.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application
We invite you to submit a complete application by using the apply button. The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae, including a list of your publications and the contact information of three references. Kindly note that we may reach out to references at any stage of the recruitment process. We recommend notifying your references upon submitting your application.

Ensure that you submit all the requested application documents. Please note that incomplete applications may not be considered and could be rejected.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.

Please note

• You can apply online. We will not process applications sent by email and/or post.
• A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check, please consult the National Knowledge Security Guidelines.
• Please do not contact us for unsolicited services.

PhD in Active Inference for Manufacturing Processes

Introduction
Are you interested in developing cutting-edge AI that is inspired by how the brain works? In this PhD project you will apply active inference, a leading neuroscientific theory for how the brain works, to continuous model alignment for manufacturing processes.

Job Description
In manufacturing, uncertainties may arise from stochastic machine behavior, sensory noise, changes in environment/context and incomplete information. Real-time adaptation to such disturbances is crucial to the efficiency and effectiveness of the manufacturing process. Active inference is a first-principles theory about how agents act and adapt under uncertainty.

By combining active inference principles with probabilistic graphical modeling, event knowledge graphs and physics-informed neural nets, you will enable agents to reason under uncertainty, test hypothesis and adjust internal models based on observed data. These techniques should provide full decision traceability, ensuring explainability and accountability of developed agents for application in complex manufacturing processes.

This PhD project is funded by the Horizon Europe program (https://tinyurl.com/mr7wjukv). You will work in the BIASlab team (http://biaslab.org) in the Electrical Engineering department at TU/e. This lab focuses its research activities on transferring Active Inference principles to practical use in industrial contexts. Please see this youtube presentation (https://youtu.be/QYbcm6G_wsk) for more information about our research. During this project you will closely collaborate with other BIASlab researchers, as well as with project team members in the Process Analytics Cluster (https://tinyurl.com/3uee5xt7), and with our industrial partners.

An important part of the PhD research will be devoted to contributing to RxInfer (https://rxinfer.com/), which is a toolbox-under-development for automating real-time Bayesian inference. Hence, your work will partly consist of developing and coding fundamental (Bayesian) AI tools, and partly on applying these tools to manufacturing applications.

Key areas of interest include Bayesian machine learning, probabilistic graphical models (factor graphs), computational neuroscience, manufacturing processes and software development.

Job Requirements

• A master’s degree in electrical engineering, physics, computer science or similar (this is mandatory).
• A record that shows specific interest in any or more of the following fields: manufacturing, (Bayesian) machine learning, professional software development.
• Good written and spoken command of English (C1 level or better).
• A team player attitude, willingness to work hard and know how to have fun at it.

Conditions of Employment
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• Full-time employment for four years, with an intermediate assessment after nine months. You will spend a minimum of 10% of your four-year employment on teaching tasks, with a maximum of 15% per year of your employment.
• Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. € 3,059 - max. € 3,881).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• Unlimited access to the modern on‑campus TU/e Student Sports Center at an exceptionally affordable rate.
• An allowance for commuting, working from home and internet costs.
• A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

On our website you can discover even more information about our conditions of employment. Build on your career at TU/e!

About us
We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact — today and in the future. TU/e is home to over 13,000 students and more than 7,000 staff, forming a diverse and vibrant academic community.

Our university is located in Brainport Eindhoven — a world‑leading tech region with more than 7,000 high‑tech companies and strong R&D activity. Known for breakthroughs in AI, photonics, semiconductors and advanced manufacturing, Brainport is a place where technology serves people and society. Learn more about the Brainport region here.

The mission of the Department of Electrical Engineering is to acquire, share and transfer knowledge and understanding in the whole field of Electrical Engineering through education, research and valorization. We work towards a ‘Smart Sustainable Society’, a ‘Connected World’, and a healthy humanity (‘Care & Cure’). Activities share an application-oriented character, a high degree of complexity and a large synergy between multiple facets of the field.

Research is carried out into the applications of electromagnetic phenomena in all forms of energy conversion, telecommunication and electrical signal processing. Existing and new electrical components and systems are analyzed, designed and built. The Electrical Engineering department takes its inspiration from contacts with high-tech industry in the direct surrounding region and beyond.

The department is innovative and has international ambitions and partnerships. The result is a challenging and inspiring setting in which socially relevant issues are addressed.

Information
Do you recognize yourself in this profile and would you like to know more? Visit our website for more information about the application process. You can also contact dr. Thijs van de Laar at t.w.v.d.laar@tue.nl for more information about the advertised position. Please note that you can only apply online (see below) and applications sent by email will not be processed.

Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view the video.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application
We invite you to submit a complete application by using the apply button. The application should include a:

• Cover letter (max 1 page) in which you describe your motivation and qualifications for the position.
• Curriculum vitae, including a list of your publications and the contact information of three references. Please include a description of your background and interest in high-quality software development. Kindly note that we may reach out to references at any stage of the recruitment process. We recommend notifying your references upon submitting your application.
• If you have written a MSc thesis (or published a scientific paper) in English, please send it along with your application or provide a download link.
• If you have written open-source software code, please provide a download link.

Ensure that you submit all the requested application documents. Please note that incomplete applications may not be considered and could be rejected.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.

Please note

• You can apply online. We will not process applications sent by email and/or post.
• A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check, please consult the National Knowledge Security Guidelines.
• Please do not contact us for unsolicited services.

Lecturer Urban Design (0,8 FTE)

Introduction
Are you passionate about teaching young students about urban design? Collaborate with students and societal actors in real world urban living labs on real world assignments? Develop innovative design and planning strategies for sustainable, inclusive and resilient cities for future generations?

Job Description
We are looking for a lecturer who is eager to work on the education of tomorrows designers and city builders and to contribute to our urban living lab collaborative impact programs and projects on systemic urban transition. All to make a lasting impact on the reform of our cities to become more sustainable future living environments enabling future generations a more lasting and inclusive quality of life.

Urbanism and Urban Architecture group
In this role you will be positioned in the chair of Urbanism and Urban Architecture. Buildings, cities and regions matter to people’s lives. Well-planned cities help communities prosper and flourish, and therefore city planners can make a difference. Planning for better cities requires new forms of collaboration, organizational structures and new urban futures. In rethinking the fundamental societal challenges facing the urbanizing world today, UUA realizes interaction between urban planning and design, cultural heritage and place identity, as well as public space design and architecture. Our work is firmly rooted in inter- and trans-disciplinary theories and methods form the fields of urban planning and design, urban studies as well as innovation and transition studies.

These fundamental challenges playing out in cities in the global north and the Netherlands in general, are especially pressing in booming regions like the Metropolitan Region Eindhoven. Moreover, in the MRE there is a strong eco-system of quadruple helix governance taking on as a region itself to develop innovative solution pathways to (trans)form the urban living environment in such a way that these challenges of sustainable urban development are met in the interest of society at large and future generations.

The UUA chair has therefore developed extensive and structural collaborations with stake- and shareholders in the MRE to work on these challenges, bridging teaching and research into innovative pathways with sustainable and beneficial societal impact. The group works on a broad gamma of topics in collaborative long-term programs ranging from healthy cities, inclusive cities, and circular cities to historical cities. Touching on topics like active lifestyle and active environment design, housing cultures and neighborhood design, climate change and public space and urban green infrastructure design, new economies and historical urban landscape design.

The chair is shaping these collaborations through a combination of challenge-based learning, action field research and learning organizations. In teaching, this is organized through the Urban Lab programs, in research through the Urban Development Initiative (UDI) programs.

Key objectives of the position
Within the Urbanism and Urban Architecture chair group, the lecturer will contribute to education and our impact programs in the Urban Lab.

You will be involved both in the education part of the bachelor Architecture, Urbanism and Building Sciences (AUBS) as well as in the Master track in Urban Systems and Real Estate (USRE), the Master track AUDE and the combined track AUDE-USRE. Especially in the master track USRE, the interaction between research and design, between theory and practice is central, both on the level of district master planning, the city plan, and that of the region. You will predominantly teach design studios and contribute to some lecture series, both as member of the teaching team but over time also as responsible teacher for certain courses.

Job Requirements
The candidate we are looking for

• holds a Master Degree in the field of urban design and planning or a related field;
• has preferable some years of experience in professional practice in the Netherlands or in comparable contexts
• has a broad orientation in urban design and planning as well as the various subfields, and is well-informed about recent developments in this field at an international level; this broadness over a wide spectrum of urban design and planning is evidenced with projects, publications, etc.
• has access to adequate networks in the professional practice, whether in planning, consultancy or public administration;
• has proven didactic qualities and the ability to pass on knowledge and skills to students;
• is able to use rigorous scientific approaches to problems of applied relevance;
• is willing to work on education and applied research within a team.
• has a good command of English, both orally and in writing.

If you are concerned that you don’t meet all the requirements sufficiently, but the job does excite you, then be sure to respond, we would love to look at your profile.

Conditions of Employment
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 10 (min. € 3,546 max. € 5,538).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• A favorable arrangement for more holidays or a sabbatical.
• A selection model for additional fringe benefits.
• Working hours in consultation for an optimal work-life balance.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• Unlimited access to the modern on campus TU/e Student Sports Center at an exceptionally affordable rate.
• Scope for your talent with advancement prospects and excellent development opportunities such as mentoring, workshops and coaching.
• Partially paid parental leave and reimbursement for commuting expenses, working from home and the internet.
• A generous employer contribution to the favorable ABP pension plan.

Here you can discover even more information about our conditions of employment. Build on your career at TU/e!

About us
We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact — today and in the future. TU/e is home to over 13,000 students and more than 7,000 staff, forming a diverse and vibrant academic community.

Our university is located in Brainport Eindhoven — a world‑leading tech region with more than 7,000 high‑tech companies and strong R&D activity. Known for breakthroughs in AI, photonics, semiconductors and advanced manufacturing, Brainport is a place where technology serves people and society. Learn more about the Brainport region here.

Sustainability, in its broadest definition, is the cornerstone of research and education in the Department of Built Environment. We take the lead in (re)shaping the built environment to be future-proof, safe, healthy, inclusive and respectful of planetary boundaries. We house the entire spectrum of technology, engineering, design, and human behavior disciplines in the built environment, with world-class experimental facilities at all scales. This allows us to address societal challenges from a uniquely integrated perspective.

Information
Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager Prof.dr.ir. P.J.V. (Pieter) van Wesemael, Full Professor, p.j.v.v.wesemael@tue.nl or +31 40 247 41 31.

Visit our website for more information about the application process. You can also contact Leo van Houten. HR-Advisor, l.v.houten@tue.nl or +31 40 247 82 69.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application
If you are interested, please use the ‘apply’ button to send us your CV and letter of application with your motivation and a description of your qualifications.

Ensure that you submit all the requested application documents. Please note that incomplete applications may not be considered and could be rejected.

We look forward to receiving your application!

Please note

• You can apply online. We will not process applications sent by email and/or post.
• A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check, please consult the National Knowledge Security Guidelines.
• Please do not contact us for unsolicited services.

PhD in Process-Aware AI Agents for Autonomous Manufacturing at Process Analytics Cluster

Introduction
Are you fascinated by the intersection of probabilistic reasoning, process modelling, and artificial intelligence grounded in contextual knowledge? Do you want to develop AI agents that can autonomously reason, plan, and act in complex manufacturing environments based on knowledge graphs? Join a European research consortium and help shape the future of intelligent manufacturing.

Job Description
The Process Analytics (PA) group in the Department of Mathematics and Computer Science at TU/e is seeking a PhD candidate to work on the EuroFMX project (a large-scale Horizon Europe initiative bringing together 69 partners from 20 countries). EuroFMX aims to develop the world's first industrial-native autonomiation foundation model for manufacturing, built on Physics-Informed Graph Neural Networks embedded within transformer architectures over knowledge graphs. The project pursues a paradigm shift from reactive factory automation to proactive autonomisation, where AI agents autonomously optimize production workflows, predict disruptions, and dynamically reconfigure production systems.

The PA cluster is one of the leading research groups worldwide in process mining. The cluster develops theory, algorithms, and tools that bridge the gap between process science and data science. For more details, see https://pa.win.tue.nl/research-lines/.

Research Directions
Your research will explore several of the following directions:

• Ontology-based construction of event knowledge graphs from heterogeneous industrial data sources: Developing methods to turn the multi-source data of real production systems (MES/ERP log and OPC-UA streams) into the knowledge base the rest of the project is built on.
• Architecture for agentic AI operating over event knowledge graphs: Defining the reference architecture for autonomous agents whose perception, reasoning, and action all run over event knowledge graphs, while preserving trustworthiness guarantees.
• Active inference agents with graph-based, physics-informed generative models: Developing agents that combine active inference, physics-informed neural networks, and event knowledge graphs.
• Industrial validation of agentic AI methods: Translating the methodological work above into deployable agentic systems on pilots, including predictive maintenance at Philips and key-process-parameter optimization at Continental.
• Project Context

The EuroFMX consortium includes major industrial partners such as Bosch, Siemens, Philips, etc., alongside leading European research institutions and SMEs. Your work will be validated in real-world manufacturing use cases spanning automotive, aerospace, and electronics. Your primary research collaborations will be with 1) BIASlab in Electrical Engineering at TU/e on active inference and 2) Celonis on developing graph-based generative AI tools for engineering and coordinating industrial agentic AI.

Beyond these, you will be expected to collaborate with other EuroFMX research and industry partners on the project’s goals by contributing to project tasks and deliverables, and attend project meetings (consortium-wide, work-package, and bilateral).

Job Requirements
We are looking for a talented and enthusiastic PhD candidate who meets the following requirements:

• A master's degree in computer science, mathematics, artificial intelligence, or a closely related field, with a background in one or more of: process mining, knowledge graphs, machine learning, probabilistic modelling, or formal methods.
• Affinity with process-aware systems, business process management, or formal modelling (e.g., Petri nets, knowledge graphs, graph-based models).
• Experience with or strong interest in ontologies and knowledge graphs, probabilistic reasoning, Bayesian methods, or active inference.
• Solid programming skills (Python).
• A research-oriented attitude with the ability to work independently and as part of an interdisciplinary, international team.
• Fluent in spoken and written English (C1 level).

Conditions of Employment
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• Embedding in a world-class consortium of 69 European partners from industry and research.
• Access to European AI Factories, HPC facilities, and manufacturing testbeds across Europe.
• Opportunities for international travel and collaboration.
• Full-time employment for four years, with an intermediate assessment after nine months. You will spend a minimum of 10% of your four-year employment on teaching tasks, with a maximum of 15% per year of your employment.
• Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. € 3,059 - max. € 3,881).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• Unlimited access to the modern on‑campus TU/e Student Sports Center at an exceptionally affordable rate.
• An allowance for commuting, working from home and internet costs.
• A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

On our website you can discover even more information about our conditions of employment. Build on your career at TU/e!

About us
We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact — today and in the future. TU/e is home to over 13,000 students and more than 7,000 staff, forming a diverse and vibrant academic community.

Our university is located in Brainport Eindhoven — a world‑leading tech region with more than 7,000 high‑tech companies and strong R&D activity. Known for breakthroughs in AI, photonics, semiconductors and advanced manufacturing, Brainport is a place where technology serves people and society. Learn more about the Brainport region here.

As one of the largest and most dynamic academic communities in the Netherlands, the department Mathematics and Computer Science (M&CS) brings together more than 140 scientific staff, over 250 PhD and EngD candidates, and nearly 3000 students. We collaborate closely with leading industrial partners in the Brainport Eindhoven region and with universities across the globe—creating a uniquely fertile environment for both fundamental breakthroughs and applied innovation.

Information
Do you recognize yourself in this profile and would you like to know more? Please contact Gyunam Park, g.park@tue.nl or Dirk Fahland, d.fahland@tue.nl.

Visit our website for more information about the application process. You can also contact HR Services, HRServices.MCS@tue.nl.

Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view the video.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application
We invite you to submit a complete application by using the apply button. The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae, including a list of your publications and the contact information of three references. Kindly note that we may reach out to references at any stage of the recruitment process. We recommend notifying your references upon submitting your application.

Ensure that you submit all the requested application documents. Please note that incomplete applications may not be considered and could be rejected.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled

Please note

• You can apply online. We will not process applications sent by email and/or post.
• A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check, please consult the National Knowledge Security Guidelines.
• Please do not contact us for unsolicited services.

Senior Dossierbeheerder | Meer Advies, Fiscaliteit & Impact | Zwijnaarde

Naast het beheren van je eigen klanten portefeuille, word je als senior dossierbeheerder een belangrijke sparringpartner voor ondernemers.

Je combineert technische accountancy met een groeiende adviesrol richting klanten met volgende verantwoordelijkheden:

• Je beheert zelfstandig een portefeuille van vennootschappen en ondernemers.
• Je staat in voor afsluitingen, jaarrekeningen en fiscale aangiftes.
• Je analyseert cijfers en vertaalt deze naar bruikbaar advies voor klanten.
• Je detecteert fiscale opportuniteiten en denkt proactief mee met ondernemers.
• Je werkt nauw samen met fiscalisten, accountants en andere specialisten binnen het kantoor.