PhD Process Intensification for Efficient Biomass Valorization

Introduction
Are you passionate about sustainability and sustainable process engineering? Are you motivated by the challenge of advancing the valorization of biowastes into sustainable chemicals and materials? Do you thrive in a highly innovative, creative and multicultural environment, and want to lead the way towards a sustainable future? If all these sounds fascinating, then this PhD position may be something for you!

Job Description
How can we selectively convert complex lignocellulosic biomass into high-value platform chemicals with high efficiency and minimal waste? Achieving this demands innovative reactor and process concepts that steer reaction pathways by incorporating advanced catalysis, intensifying transport phenomena, and integrating reaction and separation in a single system. In this project, you will tackle the fundamental challenge of controlling selectivity in multi-step biomass conversions through smart multi-catalyst, multi-reactor design.

You will contribute to the Sustainable Process Engineering (SPE) program of the Sustainable Process Engineering group at Eindhoven University of Technology (see our website). Within this collaborative and internationally connected team, you will work at the interface of catalysis, reaction engineering, and process intensification. You will closely collaborate with national and international partners specializing in biomass conversion.

Your research will focus on designing and optimizing integrated reactor concepts that combine sequential catalytic reactions with in-situ separation. Using a multi-scale approach, you will couple catalyst development, kinetic and mass-transfer studies, and reactor modeling with experimental validation. The goal is to realize a compact, efficient reactor system.

Your work contributes directly to the transition from fossil-based to renewable chemical production. By enabling efficient valorization of non-edible biomass, you help develop circular, decentralized, and sustainable chemical processes that reduce carbon emissions and dependence on petroleum resources.

You will join a supportive, diverse, and interdisciplinary research environment where you can develop technical expertise in catalysis and reactor engineering, strengthen your modeling and experimental skills, and grow as an independent researcher. You will present your work at international conferences, collaborate across disciplines, and contribute to impactful scientific publications.

Job Requirements

• A master’s degree (or an equivalent university degree) in Chemistry, Chemical Engineering, Materials Science, or related disciplines. Experience with biomass conversion and catalysis engineering will be positively considered.
• We are looking for a talented, motivated and enthusiastic researcher. Analytical skills, initiative and creativity are highly desired.
• Ability to work in an interdisciplinary team and interested in collaborating with industrial partners.
• You are a naturally curious person who is eager to learn more and has a strong interest in research.
• Excellent written and oral communication skills in English are a prerequisite.
• We prefer candidates with a good team spirit, who like to work in an internationally oriented, social environment.
• The project will involved collaboration with leading industrial partners.

An interview, a scientific presentation and a writing assignment are part of the selection procedure.

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, for you and, if applicable, your partner.
• 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.

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 Department of Chemical Engineering and Chemistry at Eindhoven University of Technology conducts leading research spanning molecular design, functional materials, and advanced process engineering, bridging chemistry and engineering to address global industrial and societal challenges.

Within the department, the Sustainable Process Engineering (SPE) group develops innovative reactor and process technologies for efficient, circular, and environmentally friendly chemical production, combining advanced modelling, experimentation, and process intensification to drive sustainable transformation.

Information
Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager Prof. Fernanda Neira D’Angelo (e-mail: m.f.neira.dangelo@tue.nl, phone: 31 40 247 8281.

Visit our website for more information about the application process or the conditions of employment. You can also contact Marjolein von Reth, HR-advisor, m.w.v.reth@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.

The PhD candidate will work in the Sustainable Process Engineering Group. Check our website: www.tue.nl/spe

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. We give priority to complete applications.

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 Process Intensification for Efficient Biomass Valorization

How can we selectively convert complex lignocellulosic biomass into high-value platform chemicals with high efficiency and minimal waste? Achieving this demands innovative reactor and process concepts that steer reaction pathways by incorporating advanced catalysis, intensifying transport phenomena, and integrating reaction and separation in a single system. In this project, you will tackle the fundamental challenge of controlling selectivity in multi-step biomass conversions through smart multi-catalyst, multi-reactor design.

You will contribute to the Sustainable Process Engineering (SPE) program of the Sustainable Process Engineering group at Eindhoven University of Technology (see our website). Within this collaborative and internationally connected team, you will work at the interface of catalysis, reaction engineering, and process intensification. You will closely collaborate with national and international partners specializing in biomass conversion.

Your research will focus on designing and optimizing integrated reactor concepts that combine sequential catalytic reactions with in-situ separation. Using a multi-scale approach, you will couple catalyst development, kinetic and mass-transfer studies, and reactor modeling with experimental validation. The goal is to realize a compact, efficient reactor system.

Your work contributes directly to the transition from fossil-based to renewable chemical production. By enabling efficient valorization of non-edible biomass, you help develop circular, decentralized, and sustainable chemical processes that reduce carbon emissions and dependence on petroleum resources.

You will join a supportive, diverse, and interdisciplinary research environment where you can develop technical expertise in catalysis and reactor engineering, strengthen your modeling and experimental skills, and grow as an independent researcher. You will present your work at international conferences, collaborate across disciplines, and contribute to impactful scientific publications.

Data Analyst project BEL

Job Description
Energy transition in Dutch social housing involves retrofitting millions of dwellings in coming years. The aim is to contribute to the climate goals and –increasingly important– to reduce energy poverty. The effectiveness of energy retrofits in achieving these goals however strongly depends on tenants’ behavioural responses. Our multidisciplinary project BEL provides detailed insight in these responses to support acceleration of the energy transition. We combine big data analysis with microeconomic behavioural modelling, econometrics, machine learning and natural language processing. We exploit longitudinal 2014-2021 data of 1 million social houses and households (40% of the social sector).

The Data analyst will contribute to further developing and training the models, running scenarios and translating the results into actionable policy reports and scientific articles.

Job Requirements

• MSc degree in exact or computer sciences.
• Experience with training econometric models on big data, experience with working with Big data of CBS.
• Affinity with energy efficiency topics.

Conditions of Employment
An exciting position within an international yet personal university. You are right in the middle of the students, on a green campus within walking distance of the central station. Besides beautiful architecture, you will find varied workplaces and excellent sports facilities. We also offer you:

• A monthly salary of minimum € 3.546 to maximum € 5.538 for full-time employment, depending on your knowledge and experience (scale 10 collective labour agreementfor Dutch Universities).
• In addition to vacation pay, a structural end-of-year bonus of 8.3%.
• 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.
• 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
Eindhoven University of Technology is a leading international university within the Brainport region 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.

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 have more information about the position, please contact the hiring manager Loulia Ossokina, Associate Professor TU/e, i.v.ossokina@tue.nl.

For questions about the application process or the conditions of employment, please contact Leo van Houten, HR-Advisor, l.v.houten@tue.nl or +31 40 247 8269.

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. We give priority to complete applications.

Screening of candidates begins as soon as applications are received and continues until the position is filled. Where applicable, internal candidates will be given priority over external candidates where they are equally suitable.

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.
• Important for non-EU applicants: Please be aware that for this position, specific residence permit requirements apply. If you are a non-EU national, you may not be eligible to legally work in this role under current Dutch immigration regulations. We strongly advise you to contact our Staff Immigration Team (staffimmigration@tue.nl) before applying to check your eligibility and to receive further guidance.
• Please do not contact us for unsolicited services.

Bestuurssecretaresse (0.8 – 1.0 fte)

Ben jij een energieke, innovatieve en pragmatische bestuurssecretaresse die graag meebouwt aan een groeiende faculteit én een hecht bestuurssecretariaat? Dan maken we heel graag kennis met jou!

In onze dynamische academische omgeving -waar onderwijs, onderzoek, innovatie, digitalisering en bovenal menselijkheid en duurzame samenwerking centraal staan- krijg je elke dag nieuwe kansen om écht het verschil te maken.

We zoeken iemand die van nature structuur aanbrengt, verbinding legt en met een frisse blik meedenkt. Iemand die energie haalt uit het ondersteunen van bestuurders, fungeert als de verbinding binnen de faculteit Biomedical Engineering (BmE) en nieuwsgierig is naar de nieuwste ontwikkeling en digitale tools.

Herken jij jezelf hierin én heb je de senioriteit om als volwaardig sparringpartner van het faculteitsbestuur op te treden? Dan horen we graag van je!

Functieomschrijving
Als bestuurssecretaresse voor de BmE faculteit ben jij de onmisbare, verbindende spil van ons bestuurssecretariaat. Jij zorgt ervoor dat alles soepel loopt, je beheert complexe agenda’s, stroomlijnt informatiestromen, handelt zaken zelfstandig af en houdt overzicht over deadlines en lopende dossiers.

Daarnaast ondersteun je bij projecten, denk je vooruit en zie je kansen die anderen misschien nog niet hebben opgemerkt. Je bent hét aanspreekpunt voor collega’s en externe contacten. Daarnaast organiseer je met zorg en aandacht diverse events binnen de faculteit.

Dankzij jouw senioriteit ben je bovendien een waardevolle sparringpartner voor de directeur bedrijfsvoering. Je denkt actief mee over verbetering van processen en het benutten van nieuwe digitale mogelijkheden. Je stelt kritische vragen waar nodig, je houdt overzicht en helpt het bestuur bij het maken van goede, doordachten keuzes.

Functie-eisen

• Je hebt hbo werk- en denkniveau, aangevuld met een secretaresseopleiding, opleiding tot managementassistent of vergelijkbaar;
• Je beschikt over ruime ervaring in een vergelijkbare functie;
• Je bezit uitstekende contactuele eigenschappen, een zelfstandige en proactieve grondhouding gecombineerd met een goed coördinerend vermogen;
• Je hebt een goede beheersing van Outlook365, MS Teams, officepakketten (word, excel en powerpoint);
• Je bent nieuwsgierig naar de nieuwste ontwikkelingen op het gebied van AI en digitale tools;
• Je beheerst de Nederlandse en Engelse taal uitstekend in woord en geschrift;
• Je staat bekend om jouw open houding, oplossingsgerichtheid, organisatiesensitiviteit, integriteit, innovatiekracht en vermogen om te verbinden;
• Sleutelwoorden: sparringpartner, pragmatisch, plannen & organiseren, constructieve communicatie, leergierig, samenwerken.

Twijfel je of je voldoende aan de eisen voldoet, maar word je wel enthousiast van deze baan? Dan nodigen we je toch uit om te reageren – we kijken graag naar je profiel.

Arbeidsvoorwaarden
Een boeiende positie binnen een internationale en tegelijkertijd persoonlijke universiteit. Je zit midden tussen de studenten, op een groene campus op loopafstand van het centraal station. We bieden je in deze rol veel ruimte voor eigen initiatief, groei en ontwikkeling. Daarnaast bieden we jou:

• Het dienstverband start met een tijdelijke aanstelling voor de periode van één jaar voor 0.8 - 1,0 fte. Bij goed functioneren en gelijkblijvende (economische / organisatorische) omstandigheden is er na een jaar uitzicht op een vaste aanstelling. Indien je al een vast contract aan de TU/e hebt, dan blijft dit gehandhaafd.
• Een bruto maandsalaris van minimaal € 3.382,- tot maximaal € 4.484,- bij een fulltime dienstverband, afhankelijk van jouw kennis en ervaring (schaal 8 cao Nederlandse Universiteiten).
• Naast vakantiegeld, een structurele eindejaarsuitkering van 8,3%.
• Een gunstige regeling voor extra verlofdagen of een sabbatical.
• Een keuzemodel voor extra secundaire arbeidsvoorwaarden.
• Werktijden in overleg voor een optimale werk-privé balans.
• Ruimte voor jouw talent met doorgroeikansen en uitstekende ontwikkelmogelijkheden, zoals mentoring, workshops en coaching.
• Deels betaald ouderschapsverlof en een vergoeding voor reiskosten woon-werkverkeer, thuiswerken en internet.
• Een ruime werkgeversbijdrage aan de gunstige ABP-pensioenregeling.

Hier ontdek je nog meer informatie over onze arbeidsvoorwaarden. Bouw verder aan je carrière bij de TU/e!

Over ons
TU Eindhoven is een internationaal toonaangevende universiteit middenin in de Brainportregio waar wetenschappelijke nieuwsgierigheid en een hands-on mentaliteit samenkomen. We werken open en intensief samen met hightechindustrieën aan oplossingen voor complexe maatschappelijke uitdagingen. Onze verantwoordelijke en respectvolle benadering zorgt voor impact — vandaag én morgen. TU/e telt ruim 13.000 studenten en meer dan 7.000 medewerkers, en vormt een diverse en levendige academische gemeenschap.

Faculteit Biomedical Engineering
De faculteit Biomedical Engineering (BmE) voert toonaangevend onderzoek uit op het gebied van chemische biologie, regeneratieve technologie, materialen en biomedische beeldvorming & modellering. Medewerkers verzorgen hoogwaardig onderwijs voor bachelor- en masterstudenten en voor EngD- en PhD‑kandidaten binnen de (bio)medische technologie.
BmE richt zich op engineering health door engineering en levenswetenschappen te combineren en te werken met challenge-based learning en multidisciplinaire samenwerking met ziekenhuizen, industrie en andere partners. Hiermee draagt de faculteit bij aan oplossingen voor grote maatschappelijke uitdagingen en aan de verbetering van de gezondheidszorg.
De faculteit telt ongeveer 850 studenten en 300 medewerkers, waarvan meer dan 150 PhD‑onderzoekers.

Informatie
Herken jij jezelf in dit profiel en wil je meer informatie over de functie? Je kunt via mail een uitgebreider profiel opvragen bij de HR-adviseur. Ook als je vragen hebt over het sollicitatieproces of de arbeidsvoorwaarden, kun je contact opnemen met Sascha Sanchez, HR adviseur: s.j.m.g.sanchez.van.oort@tue.nl.

Nieuwsgierig geworden? Op www.tue.nl/jobs vind je meer over werken bij de TU/e.

Sollicitatie
Ben je geïnteresseerd? Via de solliciteerknop ontvangen we graag je CV en brief met motivatie en omschrijving van je kwalificaties. Zorg ervoor dat je alle gevraagde documenten toevoegt. Wij geven voorrang aan complete sollicitaties.

De screening van kandidaten begint zodra de sollicitaties zijn ontvangen en gaat door totdat de vacature is ingevuld. Indien van toepassing, krijgen interne kandidaten bij gelijke geschiktheid voorrang op externe kandidaten.

We kijken uit naar je sollicitatie!

Let op

• Je kunt online solliciteren. Sollicitaties die per e-mail en/of post worden verstuurd, worden niet in behandeling genomen.
• Een voorafgaande screening (bijvoorbeeld een Verklaring omtrent Gedrag of kennisveiligheidscheck) kan onderdeel zijn van de selectieprocedure. Voor meer informatie over de kennisveiligheidscheck, raadpleeg de Nationale Richtlijnen Kennisveiligheid.
• Wij verzoeken je geen contact met ons op te nemen voor ongevraagde diensten.

Postdoc (2 × 2-year appointments) Scientific Foundation Models for Materials (AI/HPC)

Introduction
Are you excited about using large-scale AI to accelerate scientific discovery? Join a Horizon Europe project developing next-generation scientific foundation models that combine knowledge graphs, multi-modal data, and GPU-accelerated machine learning for materials science.

Job Description
We are seeking two highly motivated postdoctoral researchers to join the Horizon Europe project SIMU-LINGUA, a major European initiative developing scientific foundation models (SciFMs) for materials science.

SciFMs are emerging as a powerful paradigm for scientific discovery. SIMU-LINGUA addresses key challenges in data integration, model design, and large-scale training by combining multi-modal scientific data, knowledge graphs, physics-aware machine learning, and GPU/HPC computing to develop transparent and trustworthy AI for science.

At Eindhoven University of Technology (TU/e), you will contribute to the project’s core technical components:

• scientific data orchestration and knowledge graphs
• architecture and large-scale training of scientific foundation models

You will collaborate with researchers across machine learning, scientific computing, materials science, and data engineering, and work with leading academic and industrial partners across Europe. The project will develop materials ontologies, training-ready datasets, multi-modal knowledge graphs, and large-scale SciFM models, together with tools for training diagnostics and model observability. The first pre-trained SciFM models will be released as part of the project. You will have significant scientific ownership, contribute to publications and open-source software, and help shape emerging methodologies for scientific AI and foundation models. Applicants should indicate a primary research track, although collaboration between tracks is expected.

Track A — Scientific Data & Knowledge Graphs
You will develop scalable scientific data infrastructures enabling large-scale model training, including materials ontologies, data ingestion and curation pipelines, multi-modal knowledge graphs, and training-ready datasets with robust provenance and validation.

Track B — GPU-Accelerated Scientific Foundation Models
You will design and train large-scale multi-modal foundation models, including SciFM architectures coupled to knowledge graphs, GPU-accelerated PyTorch training pipelines, distributed training on HPC systems, and tools for training diagnostics and observability, potentially integrating physics-aware constraints and generative modelling approaches.

Both tracks interact closely to create a data–model feedback loop, enabling systematic analysis of how scientific data, model architectures, and training dynamics influence scientific predictions. You will join a vibrant research environment at TU/e at the intersection of AI, scientific computing, and computational science, collaborating with leading European research groups and benefiting from advanced GPU and HPC infrastructure.

Job Requirements
We are looking for researchers excited to work at the intersection of machine learning, scientific computing, and large-scale scientific data. You have:

• A PhD in Computer Science, Machine Learning, Applied Mathematics, Scientific Computing, Data Engineering, or a closely related field.
• Demonstrated ability to conduct high-quality academic research, reflected in publications or other research outputs.
• Strong programming skills in Python and experience with scientific computing environments.
• Experience in one or more of the following areas:
  
  • machine learning or deep learning (e.g. PyTorch)
  • scientific data pipelines or large datasets
  • knowledge graphs or structured data systems
  • GPU or distributed computing
  • scientific machine learning or physics-informed ML
• Experience working with Linux and HPC environments is an advantage.
• Strong communication skills and excellent proficiency in English.

You enjoy working in an international, interdisciplinary team, mentoring students, and contributing to ambitious collaborative research projects.

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 1 year with an extension of another year after a positive evaluation.
• Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 10 (min. € 4,241 max. € 5,538).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs on general skills, didactics and topics related to research and valorization.
• 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, for you and, if applicable, your partner.
• Partially paid parental leave and an allowance for commuting, working from home and internet costs.
• A TU/e Postdoc Association that helps you to build a stronger and broader academic and personal network, and offers tailored support, training and workshops.
• A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and a compensation for moving expenses.

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.

With over 110 (assistant, associate and full) professors, almost 300 PhD and EngD students, about 1500 Bachelor students and 1000 Master students, the Department of Mathematics and Computer Science (M&CS) is the largest department of the TU/e. By performing top-level fundamental and applied research, and maintaining strong ties with industry, M&CS aims to contribute to science and innovation in and beyond the region.

Information
Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager Prof. V. Dolean-Maini, v.dolean.maini@tue.nl.

Visit our website for more information about the application process or the conditions of employment. You can also contact HR services M&CS, hrservices.mcs@tue.nl.

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 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.
• List of up to five self-selected ‘best publications’.

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

We give priority to complete applications.

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.