Postdoc position in Numerical Analysis

We are looking for an enthusiastic and highly motivated
postdoc candidate to join as soon as possible the Mathematics of Computational Science (MACS) group within the Department of Applied Mathematics at the University of Twente. You will
work under the supervision of Dr. Gregor Gantner on a project dedicated to advancing the field of adaptive methods for time-dependent partial differential equations (PDEs). The position is
funded by the Dutch Research Council (NWO) via the Vidi research project Optimal adaptive spacetime boundary and finite element methods.

The project focuses on the design, numerical analysis, and implementation of novel numerical algorithms to efficiently solve parabolic PDEs such as the heat equation. More precisely, you shall investigate space-time finite element methods (FEM) and space-time boundary element methods (BEM), which both discretize the PDE as a whole, treating time as yet another dimension. In particular, this allows for fully flexible local mesh refinement in the space-time cylinder. You will develop suitable aposteriori computable estimators for the discretization error to adaptively steer the mesh refinement and mathematically prove that the resulting algorithms converge optimally with respect
to the number of mesh elements. You will further implement and thereby validate the theoretical results through numerical experiments.

You will conduct your research in a collaborative, international, and interdisciplinary environment that values both academic excellence and open exchange of ideas. The MACS group offers a
stimulating atmosphere with regular discussions, opportunities for collaboration, and access to expertise in numerical analysis, dynamical systems, and high-performance computing. The position includes funding to present your work at leading
conferences and engage in international collaborations.

PhD position in Numerical Analysis

We are looking for an enthusiastic and highly motivated PhD
candidate to join as soon as possible the Mathematics of
Computational Science (MACS) group within the Department of
Applied Mathematics at the University of Twente. You will work under the supervision of Dr. Gregor Gantner on a project dedicated to advancing the field of adaptive methods for time-dependent partial differential equations (PDEs). The position is funded by the Dutch Research Council (NWO) via the Vidi research project Optimal adaptive space-time boundary and finite element methods.

The project focuses on the design, numerical analysis, and implementation of novel numerical algorithms to efficiently solve parabolic PDEs such as the heat equation. More precisely, you shall investigate space-time finite element methods (FEM) and space-time boundary element methods (BEM), which both discretize the PDE as a whole, treating time as yet another dimension. In particular, this allows for fully flexible local mesh refinement in the space-time cylinder. You will develop suitable a-posteriori computable estimators for the discretization error to adaptively steer the mesh refinement and mathematically prove that the resulting algorithms converge optimally with respect to the number of mesh elements. You will further implement and thereby validate the theoretical results through numerical experiments.

You will conduct your research in a collaborative, international, and interdisciplinary environment that values both academic excellence and open exchange of ideas. The MACS group offers a stimulating atmosphere with regular discussions, opportunities for collaboration, and access to expertise in numerical analysis, dynamical systems, and high-performance computing. The position includes funding to present your work at leading conferences and engage in international collaborations.

Software Developer edge computing and internet of things sensors

The University of Twente, Faculty ITC wishes to increase the number of women in the faculty to have a more balanced staff profile. During all phases of the selection process, we will therefore prioritize selecting women who fit the profile.New affordable in-situ sensors are part of the Internet of things (IoT) and enable us to build denser environmental sensor networks that measure phenomena more efficiently which vary greatly in space and time, such as air or noise pollution. However, such dense wireless sensor networks can put additional strain on bandwidth in areas with less network coverage, and they threaten citizens' privacy. One solution is to move the processing and analysis of collected geodata to the sensors. This type of edge computing has been made possible by advances in deep learning methods on embedded hardware, e.g., TensorFlow Lite for microcontrollers.

You will support our ambitions by working together with colleagues from several departments on projects that use small, affordable sensors (embedded devices) to collect environmental data and submit this data wirelessly. This position will therefore advance our understanding of processing geodata on the (network) edge and combine different geodata sources (remote and in-situ) in reproducible, distributed (networked) workflows. More specifically, you will advance the state-of-the-art in embedded devices and Internet of things technologies (hardware platforms, network protocols) by designing software solutions for environmental sensing using diverse open hardware platforms, adapt and implement major developments in the application of machine learning / AI on embedded devices, and propose and implement new workflows that incorporate IoT technology in research and capacity development projects.

Junior Researcher (European Health Policy) in the Interreg BRIDGE Project

The Junior Researcher will support tasks related to the preparation of a Report on Best Practices, organizing a regional Conference, preparing Policy Briefs, and performing an Impact Analysis, with some light teaching. Responsibilities include (1) identifying, analyzing, and synthesizing best practices in cross-border health care cooperation; (2) contributing to comparative and impact-oriented analysis of resource pooling initiatives; (3) co-authoring two policy briefs targeted at practitioners and policymakers; and (4) supporting the organization and implementation of a project conference.

Junior Researcher (Resilient Regions) in the Interreg BRIDGE Project

The Junior Researcher will support tasks related to a Social Network Analysis of healthcare system on the Dutch-German border, an Evaluation of the BRIDGE Platform and its use, and some light teaching. Responsibilities include (1) conducting targeted literature reviews and policy/document analyses on cross-border health system governance; (2) supporting qualitative and basic quantitative analysis of cross-border health care networks; (3) supporting empirical data collection (interviews, case studies) with hospitals and public authorities; (4) contributing to analysis and drafting of research, evaluation, and policy-oriented outputs; and (5) supporting dissemination activities and light teaching.