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Sepinoud Azimi

Top university

4 days ago

PhD Opportunity in Bayesian Modeling and Nanoparticle Transport in Human Tissue at TU Delft Delft University of Technology in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

The project SYNERGIE has been selected for funding under Horizon Europe. The post is a four-year PhD position; no stipend amount or tuition details are provided in the post.

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Country

Netherlands

University

Delft University of Technology

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Keywords

Computer Science
Biomedical Engineering
Materials Science
Biology
Medical Science
Bayesian Statistics
Nanomedicine
Computational Modelling
Statistics

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About this position

Upcoming PhD opportunity at Delft University of Technology (TU Delft) in Bayesian modeling, nanoparticle transport, and human tissue. The project, SYNERGIE, has been selected for Horizon Europe funding and will launch in January 2027 with a consortium of 13 partners coordinated by Fraunhofer IPT.

The PhD will focus on computational modeling of nanoparticle transport and effects in human tissue, connecting multi-tissue-on-chip experiments into a single model. The research aims to use measurements from one tissue to predict outcomes in another, building on methods for modeling particle movement through biological systems and estimating model parameters from sparse experimental data.

Relevant academic keywords include ODE modeling, Bayesian inference, scientific Python, nanomedicine, organ-on-chip, and computational modeling. The post is especially suitable for candidates with hands-on experience in these methods.

Eligibility highlights: no background in biology or nanomaterials is required. The announcer specifically asks for experience with ODE modeling, Bayesian inference, and scientific Python.

Funding: the project is funded under Horizon Europe. The post indicates a four-year PhD position starting 1 January 2027, but does not provide stipend, tuition, or other financial details.

Application status: the formal call will follow shortly. Interested candidates are encouraged to get in touch with the announcer in the meantime.

Funding details

The project SYNERGIE has been selected for funding under Horizon Europe. The post is a four-year PhD position; no stipend amount or tuition details are provided in the post.

What's required

Applicants should have hands-on experience with ODE modeling, Bayesian inference, and scientific Python. No background in biology or nanomaterials is required. The position is a four-year PhD starting 1 January 2027.

How to apply

The formal call will be published shortly. Interested candidates are invited to get in touch with the announcer now or share the opportunity with others who may be interested.

More information can be found here

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