Vacatures

Locatie: Den Haag, Heerlen Contract: Uitzicht op vast dienstverband, beginnend met een jaarcontract Salaris: € 4024 tot € 6110 Bij het CBS werk je als Full-stack Developer aan de ontwikkeling van innovatieve mobiele apps voor betrouwbare dataverzameling. Bouw en verbeter apps die sensoren benutten voor statistieken, met een focus op privacy en gebruikerservaring.

Centraal Bureau voor de Statistiek

De samenleving wil aan de hand van cijfers snel weten wat er gebeurt in de wereld om ons heen. Het CBS voorziet in relevante en onafhankelijke cijfers over uiteenlopende maatschappelijke onderwerpen. Deze veranderingen vragen van het CBS een grote mate van flexibiliteit, en daar zetten onze collega’s zich iedere dag hard voor in. Of het nu gaat om klimaatverandering, duurzaamheid, de woonopgave of armoede: wij beantwoorden aan de behoefte om transparante en toegankelijke informatie te verstrekken. Iedereen is welkom bij het CBS. Bij ons laat je je talenten tot hun recht komen in een omgeving waar je jezelf bent. Het CBS is een flexibele werkgever, waar we belang hechten aan ieders eigen inbreng en mening. Met ruim 2000 collega’s zijn we een dynamische organisatie die volop in ontwikkeling is en waar altijd ruimte is voor nieuwe kennis en ideeën. Ben jij klaar voor een functie bij het CBS?

Dit is jouw uitdaging

Samen met je collega’s werk je aan de (door)ontwikkeling van apps voor smartphones die het CBS speciaal ontwikkelt om de data die sensoren (zoals GPS, accellerator, WiFi en camera) genereren te gebruiken voor het maken van betrouwbare statistieken.

Het beschermen van vertrouwelijkheid en privacy is een heel belangrijk thema in dit werk, naast de technische uitdaging zelf.

We bieden je de uitdaging om samen met het team te werken aan onze apps, waarbij jij :

• (Nieuwe) functionaliteiten ontwikkelt, beheert en verbetert;
• Daar waar nodig ook buiten je scope taken oppakt. Denk hierbij aan strategisch meedenken, adviseren over het gebruik van apps en sensoren in het waarneemdomein;
• Het ontwerpen, bouwen en testen van maatwerk apps die werken op diverse devices;
• Meedenkt over de juiste werkwijze en deze waarnodig verbetert;
• Kans om te experimenteren met – voor de organisatie – nieuwe technieken in de hoek van algoritmiek en machine learning.
• Door je pro-actieve en creatieve houding ben je voortdurend op zoek naar verbetering van jezelf maar ook je team.

Dit is je team

Agile: De teamleden werken multidisciplinair en leven de agile waarden en principes na. Het Team, met deze slimme koppen werk je samen
Je komt te werken in een nieuw op te zetten Devops app ontwikkelteam van in eerste instantie 3 personen, in de sfeer van een interne innovatiestart-up. Dit team werkt nauw samen met collega’s uit een team van wetenschappelijk onderzoekers. Je werkt verder met collega’s die vragenlijsten ontwerpen en ontwikkelen.

De standplaats kan zowel Heerlen of Den Haag zijn waarbij we nu veelal thuis werken. We werken hybride waarbij we flexibiliteit vragen in eventueel reizen naar onze andere locatie(s).

Dit ben jij

Een communicatieve, proactieve teamspeler die werk ziet liggen en hierop acteert, zo zien we jou graag!

Dit is wat we denken wat je nodig hebt om direct aan de slag te gaan:

• Je hebt hbo werk- en denkniveau;
• Je hebt minimaal 2 jaar ervaring met programmeren van front-end applicaties op smartphones (iOS en/of Android) in Dart/Flutter;
• Je bent daarnaast ook ervaren in back-end development op het .NET framework en hebt kennis van diverse databases (PostgreSQL, MSSQL);
• Je weet hoe je de sensoren in smartphones kunt benutten en hoe apps op de achtergrond kunnen draaien en je bent bekend met (frontend) state-management;
• Je ontwikkelt software op basis van een UX/UI design waarbij jouw inbreng uiteraard belangrijk is;
• Ervaring met Machine Learning methodes en speciaal tekstherkenningsalgoritmes is een pré;
• Ervaring met Kubernetes, CI/CD, DevOps en Python is een pré.

Help jij ons mee om onze apps te realiseren ?
Dan horen we graag van je!

Dit kun je van ons verwachten

Voor onze arbeidsvoorwaarden volgen wij de CAO Rijk.
Dat betekent dat je onder andere kunt rekenen op het volgende:

• Een salaris van minimaal EUR 4024,- en maximaal EUR 6110,- bruto per maand op basis van 36 uur. Afhankelijk van je kennis en ervaring.
• 8% vakantiegeld en een 13e maand. In totaal is dit 16,5% bovenop je salaris. Dit noemen wij het Individueel Keuze Budget (IKB). Je bepaalt zelf hoe, wanneer en op welke manier je dit budget wilt inzetten.
• Pensioenopbouw bij het ABP Pensioenfonds.
• Een laptop (Microsoft of Apple) en mobiele telefoon (Android of iOS).
• Je werkt hybride, waarbij we als richtlijn hebben minimaal 2 dagen per week op kantoor. In je team maak je daarover afspraken.

Dit is je sollicitatieprocedure

Reageer dan snel, want we sluiten de vacature zodra we iemand hebben gevonden.

We voeren 2 gesprekken en sluiten het sollicitatieproces af met een arbeidsvoorwaardengesprek.

Stel je vagen aan Stephan

Email: s.abhayawardhana@cbs.nl Telefoon: 06 25 345 096 Voor de recruitmentbureaus: mocht je ons willen bellen voor een mogelijke samenwerking: wij stellen de interesse op prijs, maar vullen al onze (tijdelijke) vacatures zelf in.

De Universiteit Maastricht (UM) zoekt een projectleider voor het opzetten van Academische Werkplaats Huisartsenzorg Zuidoost Nederland.

 

Academische werkplaats

Een academische werkplaats is een kennisnetwerk waarbij huisartsengroepen, huisartsen, patiëntenvertegenwoordigers in de regio Zuidoost Nederland samenwerken met de vakgroep Huisartsgeneeskunde van de Universiteit Maastricht. De werkplaats heeft twee doelen:  

• Het ontwikkelen en verspreiden van wetenschappelijke kennis  
• Het boeien en binden van het vak in de regio  

 

De werkplaats krijgt twee Hubs; 1 in Maastricht en 1 in Eindhoven.  

 

Als projectleider ga je samen de vakgroepvoorzitter de academische werkplaats Huisartsenzorg opzetten binnen de Regio Zuidoost Nederland vanaf een locatie in Maastricht en Eindhoven. Het doel is samen met andere partijen zoals Huisartsenpraktijken, UM en zorginstellingen de kwaliteit van de huisartsenzorg te verbeteren, ten behoeve van de inwoners in de regio.

 

In het projectteam werken de secties Onderzoek, Onderwijs en Huisartsenopleiding nauw samen. De dagelijkse aansturing vindt plaats door de Projectleider voor de organisatorische aspecten en de duo huisartsen voor de link met het werkveld.  

 

Je werkzaamheden:

• Ontwikkelen en implementeren van projectplannen, inclusief tijdlijnen, budgetten en resources.  
• Monitoren van de voortgang van projecten en rapporteren aan de stuurgroep en andere belanghebbenden.
• Faciliteren van samenwerking tussen de Universiteit, zorggroepen, huisartspraktijken en externe stakeholders.
• Opzetten van regionale huisartsgeneeskundige talentontwikkeling.  
• Realiseren structureel overleg t.b.v. toekomstbestendige beschikbaarheid van de academische werkplaats.  
• Oprichten van een platform voor structurele patiënten participatie.  
• Organiseren en begeleiden van bijeenkomsten, workshops en presentaties.
• Coördinatie en ondersteuning van ondersteunend personeel.

 

Functie-eisen:

Wij zoeken iemand met hands‐on mentaliteit, kortom iemand die echt weet van aanpakken. Je zoekt uit hoe dingen werken, legt contacten en zorgt ervoor dat acties worden verwerkt in een duidelijk plan van aanpak.  

• Je hebt minimaal een afgeronde HBO‐ opleiding;  
• Je hebt aantoonbare projectervaring en weet op strategisch niveau goed te acteren;  
• Je wilt graag de huisartsenzorg verbeteren;  
• Je kan goed organiseren en coördineren van werkzaamheden;  
• Je beschikt over organisatiesensitiviteit en overtuigingskracht;
• Je hebt uitstekende kennis van de Nederlandse‐ en Engelse taal;  
• Vermogen om mensen op alle niveaus met elkaar te verbinden.  

 

Wat biedt de UM?
Als projectleider bij Faculty of Health, Medicine and Life Sciences kom je in dienst bij de meest internationale universiteit van Nederland in het prachtige Maastricht. Verder bieden wij je:

• Goede arbeidsvoorwaarden. De functie is ingeschaald in schaal 10 conform UFO-profiel Projectleider met bijbehorende salarisinschaling op basis van ervaring tussen €3378,00 en €5331,00 bruto per maand (op basis van een fulltime dienstverband van 38 uur per week). In aanvulling op het maandsalaris zijn een 8,0% vakantie-uitkering en een 8,3% eindejaarsuitkering van toepassing.
• Een arbeidsovereenkomst voor een periode van 12 maanden met een omvang van 0,8 - 1,0 FTE. Bij gebleken geschiktheid wordt de arbeidsovereenkomst verlengd.  
• Bij de Universiteit Maastricht staat het welzijn van onze medewerkers hoog in het vaandel, zo hanteren we flexibele werktijden en de mogelijkheid om deels vanuit huis te werken indien de aard van je functie dit toelaat. Hiervoor ontvang je maandelijks een thuiswerk- en internetvergoeding. Kom je fulltime bij ons werken, dan heb je jaarlijks recht op 29 vakantiedagen en 4 extra feestdagen, te weten carnavals maandag, -dinsdag, Goede Vrijdag en Bevrijdingsdag. Maak je gebruik van de mogelijkheid om compensatie-uren op te bouwen, dan komen hier nog eens 12 dagen bij. Daarnaast kun jij jouw arbeidsvoorwaarden personaliseren aan de hand van een cao-keuzemodel.  
• Als Universiteit Maastricht hebben we diverse andere mooie secundaire arbeidsvoorwaarden, hierbij kun je denken aan een goede pensioenregeling bij het ABP en kun je als UM-medewerker meedoen aan bedrijfsfitness en gebruik maken van het zeer uitgebreide sportaanbod dat wij ook aan onze studenten aanbieden.  
• Tot slot maar zeker niet onbelangrijk de ruimte en faciliteiten om jezelf te ontwikkelen: persoonlijk en in jouw vakgebied. Dit faciliteren we door het bieden van een ruim opleidingsaanbod en ondersteunen we door diverse breed gedragen initiatieven zoals ‘erkennen en waarderen’.  

De arbeidsvoorwaarden van de Universiteit Maastricht zijn grotendeels vastgelegd in de CAO Nederlandse Universiteiten. Daarnaast gelden lokale bepalingen, specifiek voor de UM. Voor meer informatie klik hier.

Universiteit Maastricht
Waarom werken aan de Universiteit Maastricht? 

Aan de Universiteit Maastricht (UM) draait alles om de toekomst.  Die van onze studenten omdat we ze een stevige, brede basis geven voor de rest van hun leven. En die van ons allemaal door ons onderzoek naar oplossingen voor vraagstukken in de hele wereld. Met onze zes faculteiten zorgen we voor een veelomvattend aanbod aan onderwijs en onderzoek.  

In ons onderwijs werken we met de methode Probleemgestuurd Onderwijs (PGO). Dit betekent dat onze studenten in kleine groepen zélf op zoek gaan naar oplossingen voor problemen en vraagstukken. Ze discussiëren samen, trekken conclusies, formuleren een antwoord en presenteren dat aan de hele groep. Zo doen ze belangrijke vaardigheden op voor hun hele loopbaan. 

De UM heeft op dit moment meer dan 22.300 studenten en ruim 5.000 medewerkers uit alle windstreken. Dat zorgt voor een inspirerende en bruisende internationale gemeenschap.   

Spreekt deze internationale omgeving waarin de wetenschap centraal staat jou aan? En wil jij hier vanuit een wetenschappelijke of juist staffunctie een steentje aan bijdragen? Dan ben jij met jouw unieke bijdrage van harte welkom! Want als jonge Europese Universiteit van Maastricht bieden we perspectief dat we vertalen naar jouw talent. Je bent waardevol voor onze universiteit en de maatschappij en we inspireren je om met trots en plezier samen te groeien. 

Voor meer informatie over de UM klik hier. 

Faculty of Health, Medicine and Life Sciences (FHML)  
In de Faculty of Health, Medicine and Life Sciences (FHML) draait alles om gezond leven. Ons onderzoek en onderwijs is niet alleen gericht op herstel maar focust sterk op preventie, gezondheidsbehoud en gezondheidsbevordering. We zijn erop uit om met onze kennis en kunde daadwerkelijk te kunnen zorgen voor gezonde levens van individuele mensen én de maatschappij als geheel. In onderwijs, onderzoek en zorg is de FHML sterk verbonden met het academisch ziekenhuis Maastricht waarmee ze samen het Maastricht Universitair Medisch Centrum (MUMC+) vormt. 

De FHML wordt gevormd door een (inter)nationale community medewerkers en studenten en is de grootste faculteit van Maastricht University. De faculteit biedt een breed palet aan Nederlands- en Engelstalige bachelor- en masteropleidingen in vernieuwende onderwijsconcepten waarin de nadruk altijd ligt op het bouwen van bruggen naar de praktijk.

Het multidisciplinaire onderzoek van de FHML richt zich op een aantal zorgvuldig gekozen actuele thema’s. Naast onderzoek dat is gericht op het verkrijgen van nieuwe inzichten gaat het ook om onderzoek waarvan de resultaten direct vertaald kunnen worden naar concrete toepassingen en innovaties. De uitvoering van de verschillende onderzoeksprogramma's is georganiseerd in onze zes graduate schools en twee instituten. 

Nieuwsgierig?
Ben jij geïnteresseerd geraakt in deze mooie functie maar heb je nog vragen? Neem dan gerust contact op met Loes van Bokhoven via loes.vanbokhoven@maastrichtuniversity.nl voor meer informatie.Heb je vragen over de procedure neem dan contact op met Patrick Claus (recruiter) via
p.claus@maastrichtuniversity.nl. 

Solliciteren?
Of ben je al overtuigd en word jij onze nieuwe projectleider? Solliciteer dan nu, uiterlijk 25 november, op deze functie. 

De vacature staat open voor interne- en externe kandidaten. Bij gelijke geschiktheid hebben interne kandidaten voorrang. 

Universiteit Maastricht zet zich in voor het bevorderen en behouden van een diverse en inclusieve gemeenschap. Wij geloven dat diversiteit in onze medewerkers- en studentenpopulatie bijdraagt aan de kwaliteit van onderzoek en onderwijs aan de UM. Dit willen we mogelijk maken door middel van inclusief beleid en innovatieve projecten in samenwerking met studenten en medewerkers. We moedigen je aan om voor deze functie te solliciteren.

 

Do you hold a strong academic profile in the field of Networks & Cybersecurity? Are you ready to take the lead in expanding this line of research? The Department of Advanced Computing Sciences invites applicants for a new Full Professor position.

 

 

Job description

Are you curious to understand when bugs turn into exploitable vulnerabilities, and how we can reliably predict which parts of the code are the most sensitive to privilege escalation – and how deep learning based vulnerability prediction can best help both coders and security analysts? Eager to see whether we are indeed protecting the data and systems we should care about most, such as medical records, real-time control systems, or the ever-more-pervasive smart-home systems, and to further our understanding on the balance between controls and functionality involved? And the other way round: see what threats these ‘smart systems‘ themselves pose to their environment? Are you curious to develop secure network solutions for large-scale ICT infrastructures, Digital Twining, Smart Cities and Smart Industry? 

 

If you see yourself leading and advancing research in any of these areas – or you have other interesting cybersecurity related topics to bring to the table – you should consider joining our Department of Advanced Computing Sciences (DACS) as a Full Professor in Cybersecurity. DACS is an international community of ~100 researchers at various stages of their career, embedded in the Faculty of Science and Engineering (FSE). Our department has more than 35 years’ experience with research and teaching in the fields of Computer Science, Artificial Intelligence, Data Science and Applied Mathematics.

What are you going to do? 
To strengthen our research and educational initiatives on networks & cybersecurity, we are looking for a leading scientist with expertise in areas like: computer and network security, cyber-physical systems security, security for the cloud, and emerging threats in cybersecurity.

 

Our research activities span the entire spectrum from curiosity-driven research to responsible societal applications, often taking on an interdisciplinary character. Contributions to areas such as multi-agent systems, (medical) signal and image processing, FAIR principles, game theory, intelligent search techniques and affective computing are internationally recognized. What makes our research so interesting is that DACS maintains an industry network with over 80 private collaborators ranging from local SMEs to large multinationals. The department designs and develops data-driven solutions for a wide variety of business applications in sectors including transport and logistics, healthcare, and production and manufacturing. This why you can contribute to science and our society of tomorrow!

 

In addition to your research, you will contribute to our top-rated education. Our department offers two bachelor’s program and two master programs, all of which are nationally ranked among the top of their kind and involve Data Science and Artificial Intelligence. In September 2023, we launched a new bachelor in Computer Science. You will have an important voice in developing our education programs. 

 

Requirements
Who are you? 
We seek a colleague who is passionate about research, enjoys teaching and who has strong leadership, communication, and organizational skills. You feel at home in a strongly international and diverse community like ours. Furthermore, we are looking to welcome someone who fosters collaboration at all levels. 

 

Our ideal candidate has:

• A PhD degree in Computer Security or a strongly related field;
• Experience in mentoring and growing a team of junior researchers;
• Graduated several PhD students in the field of Cybersecurity;
• A strong and consistent track record in research and teaching;
• Proven track record in funding acquisition at national and European level;
• Has a strong track record in team science.

 

What we offer
As Professor in Networks & Cybersecurity at the Faculty of Science & Engineering, you will be employed by the most international university in the Netherlands, located in the beautiful city of Maastricht. In addition, we offer you:

• Good employment conditions. The position is graded according to UFO profile Professor 2, with corresponding salary based on experience ranging from €6963,00 and €10138,00 gross per month (based on a full-time employment of 38 hours per week). In addition to the monthly salary, an 8.0% holiday allowance and an 8.3% year-end bonus apply.
• An employment contract for a period of 18 months with a scope of 1,0 FTE. Upon proven suitability, the employment contract will be converted to an indefinite contract. 
• At Maastricht University, the well-being of our employees is of utmost importance, we offer flexible working hours and the possibility to work partly from home if the nature of your position allows it. You will receive a monthly commuting and internet allowance for this. If you work full-time, you will be entitled to 29 vacation days and 4 additional public holidays per year, namely carnival Monday, carnival Tuesday, Good Friday, and Liberation Day. If you choose to accumulate compensation hours, an additional 12 days will be added. Furthermore, you can personalize your employment conditions through a collective labor agreement (CAO) choice model. 
• As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity for UM employees to participate in company fitness and make use of the extensive sports facilities that we also offer to our students. 
• Applicants from outside The Netherlands may be eligible for the so-called 30% ruling, a tax cut for highly skilled migrants that applies for a maximum of five years. If you are moving to Maastricht from more than 40 kilometers away, you may qualify for a one-time reimbursement of your relocation costs.
• Last but certainly not least, we provide the space and facilities for your personal and professional development. We facilitate this by offering a wide range of training programs and supporting various well-established initiatives such as 'acknowledge and appreciate'. 

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

 

Maastricht University
Why work at Maastricht University?

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

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

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

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

Click here for more information about UM. 

 

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

https://www.maastrichtuniversity.nl/fse

 

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

Department of Advanced Computing Sciences

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

 

Curious?
Are you interested in this exciting position but still have questions? Feel free to contact Prof. Mark Winands, Professor in Machine Reasoning, Chair of Department of Advanced Computing Sciences via m.winands@maastrichtuniversity.nl for more information.

 

Applying? 
Or are you already convinced and ready to become our new Professor in Cybersecurity at DACS? Apply now, no later than 5 January 2025, for this position.

 

Please send in the following documents:

• Research statement;
• Teaching statement;
• CV;
• List of publications;
• Contact information (names, e-mail addresses, and phone number) of two persons willing to provide references.

 

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

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

 

 

 

This vacancy represents an exciting opportunity for ambitious individuals to join the department of Cell Biology-Inspired Tissue Engineering (cBITE) at the MERLN Institute for Technology-inspired Regenerative Medicine at Maastricht University in the Netherlands as part of the ERC STG project “AUTOMATHIC”, under the supervision of dr. Aurélie Carlier. This 5-year interdisciplinary project aims to perform cutting-edge research in developing new methodologies for the automated modeling of the dynamic behavior of large biological networks. The project also involves engaging with national and international stakeholders. 

 

In silico models aim to capture and elucidate the complex and emergent interactions of biological systems, with the goal of expediting research and potential clinical translation. For example, ordinary differential equation (ODE) models of toxin and drug transport are being developed to bring safer therapies to chronic kidney disease patients. Despite recent progress, these cutting-edge ODEs only model transport in steady state and remain limited regarding the amount and complexity of dynamic transport mechanisms as it is often not clear which kinetic relation is most suitable. This limitation is due to the manual and labor-intensive approaches to construct the ODEs, which critically hinder their application in quantitative toxicity assessment in key industrial settings like drug development. In AUTOMATHIC, we aim to develop an integrated framework for automated ODE structure identification, parameter estimation and model evaluation and explore the capabilities of the developed framework for toxin and drug transport in the kidney. 

Requirements and key expertise 

• Master’s degree in mathematical biology, computational mathematics, biomedical engineering, numerical optimization, biophysics, systems biology, bioinformatics, computer science or equivalent
• Demonstrated ability to work independently as well as in a team
• Excellent programming skills (for example Matlab, Python, R)
• Expertise in systems biology and data integration (for example disease maps, knowledge graphs, network biology, SBML) is a plus
• Background in biology or biomedical sciences (or equivalent) is a plus
• Good oral and written English communication

Additional training opportunities will be provided based on your skills.

 

Project description: 

• Development of an integrated workflow for automatic extraction of information from literature, biological datasets, databases, and existing maps, including LLM-assisted reasoning and combining them into a physiological map/knowledge graph, using a graphical editor such as for example CellDesigner
• Construction of a kidney physiology and pathology map 
• Network analysis of the obtained map

 

Project embedding:
The project will be coordinated by the MERLN Institute for Technology-Inspired Regenerative Medicine (http://merln.maastrichtuniversity.nl/) as part of the ERC STG project “AUTOMATHIC”. The computational group at MERLN focuses on multiscale computational modelling of biological processes, with a particular interest in bone tissue engineering applications, kidney physiology and pathology and cell-biomaterial interactions and using a range of data-driven to mechanistic modelling approaches (https://www.carlier-insilico-lab.com/who-are-we). 

 

What we offer
As PhD Position: Automated Knowledge Graphs for Kidney Physiology and Pathology at Faculty of Health, Medicine and Life Sciences, you will be employed by the most international university in the Netherlands, located in the beautiful city of Maastricht. In addition, we offer you:

• Good employment conditions. The position is graded in scale P according to UFO profile PhD, with corresponding salary based on experience ranging from €2901,00 and €3707,00 gross per month (based on a full-time employment of 38 hours per week). In addition to the monthly salary, an 8.0% holiday allowance and an 8.3% year-end bonus apply.
• An employment contract for a period of 12 months with a scope of 1,0 FTE. Upon a positive evaluation, an extension of 3 years will follow. 
• At Maastricht University, the well-being of our employees is of utmost importance, we offer flexible working hours and the possibility to work partly from home if the nature of your position allows it. You will receive a monthly commuting and internet allowance for this. If you work full-time, you will be entitled to 29 vacation days and 4 additional public holidays per year, namely carnival Monday, carnival Tuesday, Good Friday, and Liberation Day. If you choose to accumulate compensation hours, an additional 12 days will be added. Furthermore, you can personalize your employment conditions through a collective labor agreement (CAO) choice model. 
• As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity for UM employees to participate in company fitness and make use of the extensive sports facilities that we also offer to our students. 
• Last but certainly not least, we provide the space and facilities for your personal and professional development. We facilitate this by offering a wide range of training programs and supporting various well-established initiatives such as 'acknowledge and appreciate'. 
   

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

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

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

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

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

Click here for more information about UM. 

Faculty of Health, Medicine and Life Sciences
At the Faculty of Health, Medicine and Life Sciences (FHML), everything revolves around healthy living. Our research and education are not solely focused on recovery, but place a strong emphasis on prevention, health preservation, and health promotion. Our aim is to use our knowledge and expertise to genuinely contribute to the well-being of individual people as well as society in total. 

In, research, and healthcare, FHML is closely collaborating with the academic hospital in Maastricht, together forming the Maastricht University Medical Center (MUMC+).  FHML is strongly connected in education, research, and care with the Maastricht academic hospital, together with which it forms the Maastricht University Medical Centre (MUMC+). 

FHML, which is the largest faculty of Maastricht University, is formed by an (inter)national community of employees and students. The faculty offers a wide range of Dutch and English-taught bachelor's and master's programs in innovative educational concepts in which the emphasis is always on building bridges to practice.
 

The multidisciplinary research of the FHML focuses on a number of carefully chosen topical current themes. In addition to research aimed at gaining new insights, it also concerns research whose results can be directly translated into concrete applications and innovations. The implementation of the various research programs is organized in our six graduate schools and two institutes.

 
Curious?
Are you interested in this exciting position but still have questions? Feel free to contact A. Carlier at a.carlier@maastrichtuniversity.nl for more information.

Applying?
Or are you already convinced and ready to become our new PhD Position: Automated Knowledge Graphs for Kidney Physiology and Pathology? Apply now, no later than November 24, 2024, for this position.

The application should contain:

• Cover letter with motivation, fit and preferred starting date
• CV 
• Contact information of two references

 

The selection process will consist of multiple interviews (technical and non-technical).

 

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

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

 

 

 

 

This vacancy represents an exciting opportunity for ambitious individuals to join the department of Cell Biology-Inspired Tissue Engineering (cBITE) at the MERLN Institute for Technology-inspired Regenerative Medicine at Maastricht University in the Netherlands as part of the ERC STG project “AUTOMATHIC”, under the supervision of dr. Aurélie Carlier. This 5-year interdisciplinary project aims to perform cutting-edge research in developing new methodologies for the automated modeling of the dynamic behavior of large biological networks. The project also involves engaging with national and international stakeholders.

 

In silico models aim to capture and elucidate the complex and emergent interactions of biological systems, with the goal of expediting research and potential clinical translation. For example, ordinary differential equation (ODE) models of toxin and drug transport are being developed to bring safer therapies to chronic kidney disease patients. Despite recent progress, these cutting-edge ODEs only model transport in steady state and remain limited regarding the amount and complexity of dynamic transport mechanisms as it is often not clear which kinetic relation is most suitable. This limitation is due to the manual and labor-intensive approaches to construct the ODEs, which critically hinder their application in quantitative toxicity assessment in key industrial settings like drug development. In AUTOMATHIC, we aim to develop an integrated framework for automated ODE structure identification, parameter estimation and model evaluation and explore the capabilities of the developed framework for toxin and drug transport in the kidney. 

Requirements and key expertise 

• Master’s degree in mathematical biology, computational mathematics, biomedical engineering,mathematical engineering, numerical optimization, biophysics, systems biology, bioinformatics, computer science or equivalent
• Demonstrated ability to work independently as well as in a team
• Excellent programming skills (for example Matlab, Python, R)
• Excellent machine learning skills
• Expertise in numerical methods
• Good oral and written English communication

Additional training opportunities will be provided based on your skills.

 

Project description: 

• Development of an integrated framework for 1) automated ODE structure identification 2) structural identifiability analysis, 3) global sensitivity analysis and 4) Bayesian parameter estimation 
• Analysis and integration of various in vitro/in vivo data for model calibration and validation

 

Project embedding:
The project will be coordinated by the MERLN Institute for Technology-Inspired Regenerative Medicine (http://merln.maastrichtuniversity.nl/) as part of the ERC STG project “AUTOMATHIC”. The computational group at MERLN focuses on multiscale computational modelling of biological processes, with a particular interest in bone tissue engineering applications, kidney physiology and pathology and cell-biomaterial interactions and using a range of data-driven to mechanistic modelling approaches (https://www.carlier-insilico-lab.com/who-are-we).

 

What we offer
As PhD Position: Framework for automated ODE model construction at Faculty of Health, Medicine and Life Sciences, you will be employed by the most international university in the Netherlands, located in the beautiful city of Maastricht. In addition, we offer you:

• Good employment conditions. The position is graded in scale P according to UFO profile PhD, with corresponding salary based on experience ranging from €2901,00 and €3707,00 gross per month (based on a full-time employment of 38 hours per week). In addition to the monthly salary, an 8.0% holiday allowance and an 8.3% year-end bonus apply.
• An employment contract for a period of 12 months with a scope of 1,0 FTE. Upon a positive evaluation, an extension of 3 years will follow. 
• At Maastricht University, the well-being of our employees is of utmost importance, we offer flexible working hours and the possibility to work partly from home if the nature of your position allows it. You will receive a monthly commuting and internet allowance for this. If you work full-time, you will be entitled to 29 vacation days and 4 additional public holidays per year, namely carnival Monday, carnival Tuesday, Good Friday, and Liberation Day. If you choose to accumulate compensation hours, an additional 12 days will be added. Furthermore, you can personalize your employment conditions through a collective labor agreement (CAO) choice model. 
• As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity for UM employees to participate in company fitness and make use of the extensive sports facilities that we also offer to our students. 
• Last but certainly not least, we provide the space and facilities for your personal and professional development. We facilitate this by offering a wide range of training programs and supporting various well-established initiatives such as 'acknowledge and appreciate'. 
   

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

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

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

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

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

Click here for more information about UM. 

Faculty of Health, Medicine and Life Sciences
At the Faculty of Health, Medicine and Life Sciences (FHML), everything revolves around healthy living. Our research and education are not solely focused on recovery, but place a strong emphasis on prevention, health preservation, and health promotion. Our aim is to use our knowledge and expertise to genuinely contribute to the well-being of individual people as well as society in total. 

In, research, and healthcare, FHML is closely collaborating with the academic hospital in Maastricht, together forming the Maastricht University Medical Center (MUMC+).  FHML is strongly connected in education, research, and care with the Maastricht academic hospital, together with which it forms the Maastricht University Medical Centre (MUMC+). 

FHML, which is the largest faculty of Maastricht University, is formed by an (inter)national community of employees and students. The faculty offers a wide range of Dutch and English-taught bachelor's and master's programs in innovative educational concepts in which the emphasis is always on building bridges to practice.
 

The multidisciplinary research of the FHML focuses on a number of carefully chosen topical current themes. In addition to research aimed at gaining new insights, it also concerns research whose results can be directly translated into concrete applications and innovations. The implementation of the various research programs is organized in our six graduate schools and two institutes.

Curious?
Are you interested in this exciting position but still have questions? Feel free to contact Dr. A. Carlier at a.carlier@maastrichtuniversity.nl for more information.

Applying?
Or are you already convinced and ready to become our new PhD Position: Framework for automated ODE model construction? Apply now, no later than November 24, 2024, for this position.

 

The application should contain:

• Cover letter with motivation, fit and preferred starting date
• CV 
• Contact information of two references

 

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

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