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Universiteit Leiden

Job Description
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 Junior Research Software Engineer for Sustainability Science - Full Stack
 Job requisition Id: 16684
 Job type: Academic staff
 Contract hours min: 38
 Contract hours max: 38
 Location: Leiden
 Applying is possible until: 31 december 2026
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 Teaser Text
 
The Institute of Environmental Science CML at Leiden University is looking for a motivated Junior Research Software Engineer (RSE) with experience in full-stack development, data visualization, and modern software engineering practices to turn scientific insights into reliable and user-friendly software. In this role, you will help design, build, and maintain the next generation of industrial ecology research tools that support sustainability, circular economy analysis and decision making, as well as reproducible science across the institute. You will work closely with researchers to help create dashboards, APIs, and visual analytics that communicate scientific results to academic users, policymakers, and the wider public. Your contributions will directly empower transparent, open, and reproducible research within for sustainability decision making.
 
What you will do
 
In your role, you will work closely with a Senior Research Software Engineers, Principal Investigators and PhDs to strengthen the scientific software engineering basis of our institute. Specifically, you will be responsible for tasks such as:
 
Building and maintaining scientific software, web applications and dashboards for research dissemination and policy communication (e.g., WISE database , Activity Browser, Panorama web-app , ReLab )
 Supporting the development and maintenance of data pipelines and reproducible workflows for environmental databases and analytics.
 Collaborating with researchers to scope features, translate research needs into user-friendly tools, and ensure usability and accessibility.
 Supporting deployment in cloud and/or open environments (e.g., containerized services), working with the senior RSE on infrastructure alignment.
 Promoting good data and software management for FAIR and open science practices, version control (Git/GitHub), testing (pytest), packaging, documentation, etc.
 
Where you will work
 
Leiden University is situated between Amsterdam (36 km) and The Hague (15 km) and was founded in 1575, making it the oldest university in the Netherlands. It houses around 35,000 students originating from 112 nationalities, facilitated by approximately 8,000 staff.
 
The Institute of Environmental Science (CML) at Leiden University offers a vibrant and supportive community of scientists committed to the challenges of sustainability. CML distinguishes itself for its attention to professional development in coordination with the interests of its scientists. As such, there are plenty of opportunities to learn new skills, expand your knowledge, collaborate across disciplines, and experiment in a friendly environment fully embodying academic freedom across all career levels.
 
The core focus of CML is to perform research and education in the interdisciplinary field of Environmental Sciences. CML focuses on the sustainable use of natural resources and preservation of natural capital and biodiversity. CML has a culture of mutual support and collaboration between researchers. CML has two Departments: Industrial Ecology (CML-IE) and Environmental Biology (CML-EB). Presently, about 150 fte (including postdocs and PhDs) are employed at CML. CML further collaborates with TU Delft and Erasmus University in the Leiden-Delft-Erasmus Centre for Sustainability (LDE-CfS), and with the Naturalis Biodiversity Centre.
 
The Institute of Environmental Sciences (CML) is positioned in the Faculty of Sciences. The Faculty of Science is a world-class faculty where staff and students work together in a dynamic international environment. It is a faculty where personal and academic development are top priorities. Our people are committed to expanding fundamental knowledge by curiosity and looking beyond the borders of their own discipline; their aim is to benefit science and to make a contribution to addressing the major societal challenges of the future. The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental sciences. The research activities are organized in eight institutes. These institutes offer eight bachelor’s and twelve master’s programmes. The faculty has grown strongly in recent years and now has more than 2.800 staff and almost 6000 students. We are located at the heart of Leiden’s Bio Science Park, one of Europe’s biggest science parks, where university and business life come together.
 
For more information, see www.universiteitleiden.nl/en/science . Information about CML can be found at www.universiteitleiden.nl/en/science/environmental-sciences .
 
What you bring
 MSc in computer science, data science, AI, environmental informatics, or related field.
 Good programming skills with Python and JavaScript/TypeScript. Other programming languages are a plus.
 Experience with front‑end frameworks (e.g., React) and data visualization (e.g., D3/Plotly).
 Experience building back‑end APIs (e.g., FastAPI, Django, Flask) and integrating databases (SQL/NoSQL).
 Experience contributing to open‑source projects.
 Familiarity with containerization (e.g., Docker) and reproducibility tools
 Excellent collaboration skills, a service mindset, and enthusiasm for environmental applications and open science
 What we offer
 
We offer an initial one-year contract, with an option to extend to a permanent contract based on performance, following the pay scale 9 in accordance with the Collective Labour Agreement for Dutch Universities. Salary ranges from € 3.708 to € 5.057 gross per month based on a full-time position .
 
At our institution, we believe in flexibility and work-life balance! With a full-time position (38 hours per week), you are entitled to 232 vacation hours per year , which is equivalent to 30.5 vacation days (based on a 38-hour work week). If you value flexibility, you have the freedom to adjust your working hours. For example, you could choose to work 40 hours per week, earning extra compensation hours. Alternatively, if you prefer a shorter work week, you can work 36 hours per week by using some of your vacation days to create more time for yourself. You’ll work closely with your supervisor to tailor your schedule in a way that suits both your needs and the team’s.
 
In addition, we offer a comprehensive benefits package, including:
 
Holiday allowance (8%) and an end-of-year bonus (8.3%)
 An attractive pension scheme with ABP, ensuring your financial well-being both now and in the future
 Extensive options for secondary employment conditions: You can explore options such as sabbaticals, paid parental leave, and the individual choices model, which allows you to exchange leave days and/or salary for benefits like an advantageous sports subscription, bicycle scheme, and childcare options
 Hybrid working options: If your role allows, you can enjoy the flexibility of working from home within the Netherlands
 Home-working allowance: You’ll receive a home-working allowance (for both workdays and internet), and the university will provide you with a laptop and support for creating a comfortable home office
 
We are committed to offering a flexible, supportive, and rewarding work environment, designed to help you grow both professionally and personally. For more information about the working conditions, please visit: https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and-employment-conditions
 
What we value
 
At the Faculty of Science, we value inclusiveness and strive for a diverse community with equal opportunities for all. We give full support to our staff in achieving their potential to become independent academic researchers and teachers. For more information about our policy on diversity and equality please go to the diversity page on our website: https://www.universiteitleiden.nl/en/dossiers/diversity
 
Female researchers are also welcome to join the Researchers In Science for Equality network of the Faculty of Science (rise.nu).
 
Want to apply or find out more?
 
Enquiries can be made to sollicitaties@cml.leidenuniv.nl
 
Selection Committee: 
Franco Donati
 Rutger Hoekstra
 Heather Logan
 
Applications
 
Please submit your application via the online recruitment system, via the blue button at the top or bottom of this page. Applications received via e-mail will not be taken into consideration. Please ensure that you upload the following additional documents quoting the vacancy number:
 
Curriculum Vitae
 Cover letter (max 2 pages.)
 Names and contact details of at least two referees
 
Applications will be evaluated on an ongoing basis until the suitable candidate has been found. All candidates will participate to two rounds of interviews.
 
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 Information at a Glance
 Faculty / Unit: The Faculty of Science
 Contact with (Name + position): Franco Donati, Assistant professor
 Contact Email address: sollicitaties@cml.leidenuniv.nl
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Junior Research Software Engineer for Sustainability Science - Full Stack

Job Description
 .jobdescription td { padding: 00px} .jobdescription * { border: none !important; border-width: 0 !important; font-size: 0px!important; font-family: custom97a1e93a03e14bab838e7 !important; color: black !important; }
 Postdoc: 3D simulation models of cell migration to decode the risk for young adult skin cancer
 Job requisition Id: 16607
 Job type: Academic staff
 Contract hours min: 38
 Contract hours max: 38
 Location: Leiden
 Applying is possible until: 14 juli 2026
 #body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-Apply now
 Teaser Text
 
The Faculty of Science, the Mathematical Institute and the Institute of Biology are looking for a Postdoctoral Researcher in Computational Science or Mathematical Biology (1.0 FTE for three years)
 
What you will do
 
The opening is for a research position within the field of computational science, mathematical or theoretical biology, computational physics, or applied mathematics. This postdoc project is part of the EU project PhotoMel ( Decoding Early-Life UVA and Skincare Additive Interactions Driving Melanoma Risk and Progression in Young Adults ), a multidisciplinary consortium of 7 European universities and partners. Together, PhotoMel aims to prevent melanoma (skin cancer) onset in young adults by decoding the impact of chemical exposures on UVA-induced damage in early childhood, including ECM remodelling and skin cell mutations that shape the melanoma niche. Your task will be to develop a three-dimensional (3D) model of melanoma cell migration in complex 3D ECMs. The goal will be to determine how UV/chemical-induced ECM changes affect melanoma cell migration, proliferation, and gene expression. We will build upon a recent 3D extension of a hybrid Cellular Potts model (hCPM) of cell-ECM interaction, which couples CPMs of cell migration and cell traction with a molecular dynamics model of ECM fiber networks, and a PDE model describing growth factors and ECM-modifying enzymes . Models will be initiated with simulated data and 3D imaging data of skin samples.
 
The successful applicant will be an integral member of the EU PhotoMel community, which offers an open, diverse and inspiring environment to engage in multidisciplinary cancer research at the intersection of biology, medicine and physics, and is expected to participate in EU PhotoMel events, training and collaborations.
 
Key responsibilities
 
Develop novel, three-dimensional simulation techniques suitable for modeling the mechanochemical regulation of melanoma cell migration, in close collaboration with members of the PhotoMel consortium.
 Integrate the new techniques into the Tissue Simulation Toolkit and/or other CPM frameworks such as Morpheus or CompuCell3D.
 Design simulation experiments to reflect and interpret ECM modifications due to exposure to UV and skincare additives, based on data obtained elsewhere in the PhotoMel consortium
 Obtain detailed insights into the effects of UV and skincare additives on melanoma progression through simulation experiments guided by literature study, interactions with other participants of PhotoMel consortium and development of advanced distance measures and parameter identification.
 Collaborate with a PhD student working in our group, also within PhotoMel to extend existing two-dimensional models of cell migration in complex environments to three dimensions and to validate these against experimental data produced elsewhere in the consortium
 Publication of the results in the scientific literature.
 What you bring
 PhD degree in applied mathematics, computational/theoretical physics, theoretical biology, computer science or a related discipline;
 Written and oral proficiency in English, strong scientific writing skills;
 Ability to work independently in a multidisciplinary environment;
 Fluent interdisciplinary communication skills with scientists in cell biology and mathematics;
 Keen interest in the cell and developmental biology of cancer
 Experience in (numerical) mathematical modeling (e.g., Cellular Potts modeling, vertex-based modeling, particle-based simulations, PDEs);
 Great skills and enthusiasm for scientific programming in C++, Cuda and/or Python.
 Where you will work
 
Research at our faculty
 
The Faculty of Science is a world-class faculty where staff and students work together in a dynamic international environment. It is a faculty where personal and academic development are top priorities. Our people are committed to expand fundamental knowledge by curiosity and to look beyond the borders of their own discipline; their aim is to benefit science, and to make a contribution to addressing the major societal challenges of the future.
 
The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental sciences. The research activities are organised in eight institutes. These institutes offer eight bachelor’s and twelve master’s programmes. The faculty has grown strongly in recent years and now has more than 2.300 staff and almost 5,000 students. We are located at the heart of Leiden’s Bio Science Park, one of Europe’s biggest science parks, where university and business life come together.
 
For more information, see www.universiteitleiden.nl/en/science and http://workingat.leiden.edu/
 
The Mathematical Institute (MI) is one of the eight institutes within the Faculty of Science and has a strong international orientation. The institute's mission is to push the boundaries of scientific knowledge by developing and applying high-quality mathematics while offering a wide range of mathematical programs in a friendly and intellectually stimulating environment. We believe that mathematics is a fundamental part of human knowledge, and we take pride in our role as guardians of this rich scientific discipline. We are dedicated to expanding the frontiers of mathematical knowledge and applying our expertise to solve challenges in other sciences, society, and industry. Additionally, we actively promote mathematical literacy through various outreach activities.
 
The Mathematical Institute focuses on four key research themes: Algebra, Geometry, and Number Theory; Analysis and Dynamical Systems; Probability; and Statistics and Data Science. There is extensive collaboration between these themes. For more information about the Mathematical Institute, see https://www.universiteitleiden.nl/en/science/mathematics .
 
Multiscale Mathematical Biology - The work will be embedded in the interdisciplinary Multiscale Mathematical Biology (MMB) team at the Mathematical Institute and the Institute of Biology Leiden, both at the Faculty of Science at Leiden University, and is also part of the qBioLeiden initiative that unites research in quantitative biology at Leiden University. The MMB team carries out mathematical biology research in close interaction with its own experimental work and that of collaborators. The team focuses on the mechanobiology of animals and plants. More information about the group can be found on http://www.mathbioleiden.nl
 
What we offer
 
Our goal is to work together to create a transparent and inclusive work environment in which everyone feels welcome and appreciated. Our organisation is always evolving and we need your ideas for improvement and innovation to take us further. We want to devote attention to your personal development.
 
You can count on an enjoyable job within the socially relevant world of education and research. The University's challenging and international work environment is located just steps away from Leiden’s lively city centre or the bustling city centre of The Hague. We also want to work with you to devote attention to your health and vitality, for example with the fun activities we organise through Healthy University.
 
We also offer: 
An employment contract for the duration of three years. This contract falls under the CLA of Dutch Universities;
 A salary between €3546 - €5538 gross per month, based on a full-time appointment (38 hours) (Scale 10);
 A holiday allowance (8%), an end-of-year bonus (8,3%), and an attractive pension scheme at ABP;
 Full reimbursement of public transport commuting costs for home-to-work travel;
 Flexible working hours: as a standard, you are entitled to a minimum of 29 leave days on the basis of a full-time working week of 38 hours; you can also save for extra leave, for example by working 40 hours a week, and in this way accrue an extra 96 leave hours, or exchange 96 leave hours for a 36-hour week.
 Lots of options when it comes to secondary employment conditions; within our terms of employment individual choices model, you can exchange leave days and/or salary for benefits such as an advantageous sports subscription and bicycle scheme;
 A home-working allowance (day and internet allowance) and attention for good workplaces. The University will also provide you with a laptop.
 
For more information about employment conditions, see https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and-employment-conditions
 What we value
 
Promoting an inclusive community is central to Leiden University’s values and vision. We strive to be an open community in which all students and staff members feel valued and respected, and are able to fully develop themselves. We consider an inclusive academic environment, where students and staff can share their experiences and viewpoints, to be essential for the development of talent.
 
Want to apply or find out more?
 
If you want to apply straight away, click the application button.
 Please ensure that you join to your application the following documents:
 
A letter of motivation
 An updated CV
 A copy (a draft of) your PhD thesis and/or list of publications
 Contact details of 1 or 2 former supervisors
 Examples of previously written code
 
Applications received before July 15th, 2026 will be given full consideration.
 
Starting date Fall 2026, flexible.
 
Enquiries about the position can be made to Prof.dr. Roeland Merks, at merksrmh@math.leidenuniv.nl.
 #body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-Apply now
 Information at a Glance
 Faculty / Unit: The Faculty of Science
 Contact with (Name + position): Prof.dr. Roeland Merks
 Contact Email address: merksrmh@math.leidenuniv.nl
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Postdoc: 3D simulation models of cell migration to decode the risk for young adult skin cancer

Join Universiteit Leiden and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

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Junior Research Software Engineer for Sustainability Science - Full Stack

Postdoc: 3D simulation models of cell migration to decode the risk for young adult skin cancer