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Jobs Posted on the Whova Community Board of InterPore2023

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Research Associate - Non-invasive imaging of porous media with x-ray computed tomography
Forschungszentrum Jülich GmbH
Research Associate (Postdoc) to help support and develop research on non-invasive imaging of porous media with XRCT.
2 PhD’s on UFI-NMR of complex fluids in stratified porous layers
Eindhoven University of Technology
Job Description

The aim of this project is to study the ingress of complex fluids (inspired by water-based inks) into thin stratified porous media (modified paper sheets) and the resulting film formation. A recently developed UFI-NMR tool will be used for real-time visualization and quantification of the transport of fluid components into paper. The obtained results will be used to develop a predictive model describing the transport and film formation processes. The NMR studies will be supplemented by SEM and other experimental tools to analyze the structure of the porous substrates.

Paper sheets are thin stratified porous media: the top layer often differs from the bulk in structure (coatings) and chemical interaction with the ink particles (fixation agents). The particles dispersed in inks often form films on top of or close to the paper surface. Fundamental understanding of ink penetration into paper and the formation of the particle films can only be obtained when this process can be monitored fast (milliseconds) and with high resolution (several microns). Recently, a breakthrough NMR-imaging technique has been developed at the TU/e (UFI-NMR) allowing ultra-fast-imaging (UFI) of capillary action in thin, porous layers. This new technique offers the opportunity to systematically study uptake of complex fluids in thin stratified porous media.

The project builds on the results of previous PhD work: the development of the UFI-NMR method and its application to fluid transport. You will become a member of the group Transport in Permeable Media (TPM) of the Applied Physics department. You will work in close collaboration with Canon Production Printing and Covestro, enabling you to access the experimental facilities of these companies and allowing you to work with taylor-made models liquids.
PhD Positions Computational Design of Adsorbents for the Removal of Micropollutants from Water
Tu Delft
See the link:
PhD position at Imperial College London
Imperial College London
PhD position on the design of multiphase flow processes in porous media. Will combine high-resolution X-ray imaging with image analysis and modelling to determine the optimal pore structure and wettability for flow and storage processes.
PhD position on Fluid transport in fractured mudrocks
Heriot-Watt University
Predicting the retention of hydrogen gas in the subsurface is a cross cutting issue with relevance to energy storage, hydrogen prospecting, and the disposal of radioactive wastes. Underground hydrogen storage (UHS) is a means of storing intermittent energy production from renewable energy sources, and retention of the hydrogen in the geological reservoir is crucial for the economic performance of the store.
This project will focus on the Mercia Mudrock Group (MMG) which is currently being considered as a potential host rock for GDF and caprock for UHS. Prediction of hydrogen migration (carrying radionuclide) in such geologies is challenged by the complex architecture of fault-fracture systems and mechanical stratigraphy of the interbedded mudrock and evaporites of the MMG, together with the inherent challenges of modelling complex multi-scalar transport phenomena in geological media. Demonstrating an understanding of the fracture hosted (single and two phase) fluid flow and solute transport process will be integral to such assessments. This PhD project will help to reduce uncertainty in the characterisation of fault-fracture systems and fluid flow in the MMG.

This broad scope of this research involves the observational description of MMG fault-fracture systems from outcrops and cores including assessing the mechanical-stratigraphic controls on fracture network geometries, the measurement of single (and multi-phase) flow in fractures as a function of rock-fracture properties, effective stress, and fracture / stress field orientations as well as the measurement of adsorbing solute and fluid specific transport processes.
2-year Postdoc on Colloidal transport in unsaturated porous media: column experiments and microtomography imaging
CNRS - Institut des Sciences de la Terre d'Orléans
We are looking for talented postdoctoral fellow to investigate two-phase flow colloidal transport in porous media using column experiments and X-ray microtomography imaging. Expected skills include flow and transport in porous media, physico-chemistry of interfaces, colloidal science, mathematical upscaling, Digital Rock Physics, microfluidics, and microtromography imaging. The position is part of the European Research Council-founded project COCONUT.

The COCONUT project (awarded with an ERC Consolidator grant) aims to investigate how colloidal particles control two-phase flow in geological porous media using a combined experimental-simulation multi-scale approach. The objective of this postdoctoral position is to monitor the transport of colloids and their impact on two-phase flow in three-dimensional naturally occurring and heterogeneous porous structures. Can we visualize in-situ the underlying processes using non-destructive high-resolution imaging to investigate clogged pores and the fluids distribution, morphology, and remobilization? We are looking for a talented postdoctoral fellow to join our team and develop millimetric to centimetric column experiments coupled with time-lapse X-Ray microtomography imaging (lab and synchrotron measurements).

The candidate will
• Develop its own line of research,
• Perform a comprehensive literature review on colloidal transport and two-phase flow in porous media,
• Develop millimetric and centimetric column scale experiments to investigate two-phase flow and colloidal transport using time-lapse microtomography imaging (lab and synchrotron facilities),
• Microfluidic experiments can be conducted for preliminary results,
• Analyze the results with Digital Rock Physics and homogenized mathematical models,
• Participate to the weekly group meeting,
• Present the results at national and international conferences, and in high-ranked journals.
2-year PostDoc position: Modelling mechanical and chemical erosion in porous media
CNRS - Institut des Sciences de la Terre d'Orléans
We are looking for a motivated postdoctoral fellow with a strong background in fluid dynamics and computational sciences. Expected skills include fluid dynamics, flow and transport in porous media, reactive transport, mathematical upscaling, and computational fluid dynamics (CFD). The candidate is familiar with programming languages including C++ and is motivated by code development. The position is part of the French National Agency for Research (ANR)-founded project PhysErosion.

The objective of this postdoctoral position is to model and decipher the complex feedback between hydrodynamics and mechanical-chemical erosion. The candidate will develop an efficient and robust simulator for predicting erosion – both mechanical and chemical – processes at different scales of interest over a wide range of flow, chemistry, and material conditions. The developments will rely on porousMedia4Foam, our in-house OpenFOAM-based package coupled with PHREEQC for geochemistry. This package is based on the concept of micro-continuum models, i.e. a unique mathematical formulation that can solve flow and transport problems in porous media at different scales of interest (e.g. pore-scale, continuum-scale, and hybrid-scale). It is particularly well-suited to model moving solid-free / porous interfaces when mechanical and chemical erosion occurs. A step-wise strategy will be adopted that focuses first on the modelling of chemical and mechanical erosion mechanisms in porous media fully saturated in water and then on chemical erosion in unsaturated systems, i.e. when gas and air fill the pores and a multiphase description is needed.

PhD Position on Geochemical Processes and Multiphase Flow in Porous Media
Forschungszentrum Jülich
With the ongoing energy transition, the exploitation of the subsurface (e.g., for geothermal energy extraction, CO2 sequestration, H2 storage or even nuclear waste disposal) will increase. Ensuring the long-term effectiveness of deep subsurface storage systems relies on our understanding and modeling capability of critical relationships between natural media and engineered components. In the ERC funded project Genies, we aim to fill current knowledge gaps related to mineral dissolution and crystallization processes involving gas and transport in porous media.
In the PhD project, the PhD student will investigate coupled mineral dissolution and precipitation processes with gas generation. The methodologies employed include microfluidic experiments and macroscopic experiments combined with dynamic MRI imaging.
PhD on reaction-diffusion-convection pattern formation
Université libre de Bruxelles
CREDI (“Control of reaction-diffusion-convection fronts for environmental purposes”) is a research project aiming to characterize and control the properties of reaction-diffusion-convection fronts to optimize their efficiency in terms of environmental gain. We will study both theoretically and experimentally two classes of fronts, (i) frontal polymerization fronts, and (ii) autocatalytic fronts. We seek to hire a PhD student who will perform theoretical and numerical analyses of pattern formation around travelling reaction-diffusion fronts, both with and without natural convection. He/She will also develop postprocessing analysis of experimental data obtained in parallel in the group. Our objective is to investigate how the amount and spatio-temporal distribution of the product of the reaction depends on the geometry of the system and experimental parameters.
2 fully funded PhD studentships, Coventry University (UK) -- Closing 27/5!
Coventry University
(1) Multiphase flow in responsive media--Hydrate formation in Carbon Geosequestration. With L. Gohrring (Nottingham Trent Uni) + British Geological Survey.
(2) Nonequilibrium flow in disordered media: Memory, hysteresis, and energy dissipation: EPSRC-funded project, in collaboration with M. Dentz (IDAEA, CSIC) and J. Ortin (University of Barcelona).
Closing 27/5! Full funding applies to all international and UK candidates.

For details see
To apply and

Please contact me for details !
PhD offer at the University of Orléans– Prediction of concentration gradients generated in geological porous media using microfluidic devices
University of Orléans (France)
The objective is to predict the magnitude and location of local concentration gradients that develop in geological porous media due to mineral reactions. These concentration gradients can further lead to diffusiophoresis of charged particles. Typically, salt gradients can be generated by the dissolution of solid calcium carbonate in water, producing different ions that migrate into the aqueous phase at different velocities due to specific diffusion coefficients. Thus, spontaneous electric fields arise to maintain the electroneutrality in the solution, which can lead to diffusiophoretic transport of particles (McDermott et al. 2012, fig 1.). We will use microfluidic devices to study dissolution mechanisms of calcite crystals in controlled conditions (Soulaine et al., 2017). The challenge will be (i) the measurement of dissolved species and pH using Raman spectroscopy., (ii) geo-electrical measurement during micromodel experiments to analyze the signature of carbonate dissolution. We will assess the species transport dynamics in the vicinity of a dissolving crystal. Experimental results will extend our OpenFOAM-based micro-continuum approach that simulates the dissolution of solid minerals at the pore-scale (Soulaine et al., 2017). In a second step, more complex reactive micromodels will be considered, like flow-through reactors (an assemblage of reactive grains, see Poonoosamy et al. 2020) to localize concentration gradients generated by dissolution/precipitation of carbonates for various porous media properties. The experiment coupled with micro-Raman spectroscopic techniques will allow a quantitative in situ assessment of mineralogical changes in porous media during reactive transport processes. From Raman spectra we will obtain the mineral composition and solute composition, thus providing new insights into hydro-geochemical coupling in porous media. More details here:
2 year post-doctoral position (DNS simulation)
The candidate will be integrated into the Digital Rock Physics team of TotalEnergies a highly multi cultural and young team with DRP researchers, data scientists and scientific software developers.

We are looking for a candidate with strong DNS background to integrate our team and work on the upscaling of DNS to feed pore network models.

please contact me for more details
2 year post-doctoral position (experimental DRP)
The candidate will be integrated into the Digital Rock Physics team of TotalEnergies a highly multi cultural and young team with DRP researchers, data scientists and scientific software developers.

We are looking for a candidate with strong experimental DRP background to integrate our team and work on the design of new DRP experimental protocols.

please contact me for more details
3 years PhD and Postdoc positions - Chaotic mixing in porous media
Join an exciting erc project, at CNRS, in the university of Rennes, 1h30 from Paris !

Details of the offers:

Apply now with cv and motivation letter by sending me an email.
Two postdoctoral positions on Basalt carbonation in Atlantic Canada
McMaster University and University of Calgary
Applications are invited for Postdoctoral Associates to work on coupling a unique, Canadian-made, direct air capture (DAC) technology with accelerated carbon mineralization as a key carbon dioxide removal (CDR) technique under the supervision of Dr. Benjamin Tutolo at the University of Calgary and Dr. Adedapo Awolayo at McMaster University. This project, a joint collaboration between Gaia Refinery Inc., McMaster University, and University of Calgary, is aimed at understanding the processes governing CO2 mineralization in basalts of Atlantic Canada. Together, this project participants will characterize the rock and in-situ fluid properties to evaluate CO2 mineralization potential; perform elevated temperature-pressure laboratory experiments to examine the rate of carbon mineralization based on the scheme and scale of injection; utilize numerical models to optimize carbonation rates; and employ and develop data-driven machine learning models to calibrate the modelling efforts and adapt this approach to conduct techno-economic assessment for optimizing site location and cost benefit analysis.
Research Associate in Darcy-Scale Modelling and Experiments of Salt Precipitation
University of Manchester
This is an opportunity to develop and validate a Darcy-scale model which multiphase flow, thermodynamics, phase change and geochemistry to simulate salt precipitation during injection of CO2 into aquifers. To carry out microscale and continuum scale experiments.

Please refer to for more information about the study.

The range of duties will include:

Develop, validate a continuum-scale model for multiphase flow and phase change to simulate salt precipitation during CO2 injection
Set-up and perform microscale experiments in the IMPRES group for salt precipitation during CO2 injection
Coordinate with the project collaborators to attain data required for model validation.

Our University is positive about flexible working – you can find out more here​​​​​​​.

Blended working arrangements may be considered.

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
PhD on solid surface fluid(s) interactions in porous media
Technion (3 years) and TU Eindhoven (1 year)
We look for a person interested in experimental work on flow and fluid(s) interactions with solid surfaces within porous materials with a focus on reactive transport, wettability and wetting. The candidate will get access to a range of different instruments such as microfluidics, confocal microscopy, inverse gas chromatography and atomic force microscopy. The project is embedded in context of environmental applications. The position offers a 4 years scholarship at Technion and funds for a 1 year visit to TU Eindhoven.

Please contact me for questions.
2 years Post-Doc on modelling of multiphase flow in porous media
Forschungszentrum Jülich
With the ongoing energy transition, the exploitation of the subsurface (e.g., for geothermal energy extraction, CO2 sequestration, H2 storage or even nuclear waste disposal) will increase. Ensuring the long-term effectiveness of deep subsurface storage systems relies on our understanding and modeling capability of critical relationships between natural media and engineered components. In the recently acquired ERC funded project Genies (, we aim to fill current knowledge gaps related to mineral dissolution and crystallization processes with gas production and transport in porous media. Moreover, we address the impact of the presence of gas on mineral crystallization in tightly confined porous media, which is important for a realistic description of such processes in reactive transport models.

Your task:
Development of pore-scale or continuum-scales models of multiphase flows coupled with chemistry
Development of a framework to speed up geochemical calculations
Collaboration in the implementation of crystallization mechanisms in reactive transport codes operating in high performance computing environments
PhD position on reactive transport modeling for subsurface hydrogen storage
Montanuniversität Leoben
Reactive transport modeling for subsurface hydrogen storage
PhD position in Reservoir Engineering
Montanuniversität Leoben
Rock-fluid interactions of CO2 and hydrogen with ultramafic rocks
PhD students in Fluid Mechanics and Heat Tranfer
tsinghua university
PhD students position in Microflow and Interfacial Transport Group in Department of Engineering Mechanics at Tsinghua University
PhD studentship in model-based Reinforcement Learning
Heriot-Watt University
The School of Energy, Geoscience, Infrastructure and Society (EGIS) at Heriot-Watt University (Scotland, UK) is looking for a PhD candidate to work on engineering optimisation and control using Reinforcement Learning (RL) techniques. The successful candidate will be part of the project ECO-AI (Enabling CO2 capture and storage using AI). ECO-AI team includes academics based at Heriot-Watt university (School of Engineering and Physical Sciences (EPS) and School of Energy, Geoscience, Infrastructure and Society (EGIS)) and at Imperial College London (Department of Earth Sciences and Department of Chemical Engineering). The project webpage

Essential skills:
-- Master's degree in computational mathematics, physics or in a relevant engineering discipline with strong computational skills
-- Excellent programming skills preferably in Python and/or C++
-- Ability to write reports, collate information and present it in a clear and engaging manner
-- Excellent communication skills

Desirable skills:
-- Bayesian statistics and machine learning (theory and applications)
-- Experience with machine learning libraries (pytorch, jax, etc)
-- Reinforcement learning techniques
-- Numerical optimization

Fees and funding:
-- Funding is available to UK/EU/Overseas candidates. It includes tuition fees and an appropriate stipend at the EPSRC recommended levels.

Application process:
Interested individuals are invited to email the application documents to the project leader (Prof. Ahmed H. Elsheikh; email:
-- Cover letter including areas of expertise and research interests
-- Current curriculum vitae
-- Degree certificates and transcripts (undergraduate and graduate)
-- Evidence of excellence and verifiable list of programming skills (e.g., Github repositories)
-- Contact information of at least two (2) referees

PhD position at CNRS on the physics of solute transport in brain micro-vascular networks
University of Rennes and Institute of Fluid Mechanics of Toulouse
Blood microcirculation supplies neurons with oxygen and clears their neurotoxic waste through a dense capillary network connected to a tree-like network of arterioles and venules. This microvascular architecture results in highly heterogeneous blood flow and travel time distributions [Jes12,Sak14], whose consequences on brain pathophysiology begin to be uncovered. To explore this question, the University of Rennes and the Toulouse Institute for Fluid Mechanics have bridged together their expertise on the physics of transport in disordered media, e.g. [LeB08], and on cerebrovascular structure/function relationships, e.g. [Lor11]. This has lead to the first physics-based upscaling framework describing the dynamics of solute transport in brain microvascular networks [Goi21]. This new representation uses random network and dipole flow theories to derive a stochastic model for solute transport in microvascular networks. It predicts the appearance of critical regions under reduced perfusion, i.e. with insufficient oxygen or excessive waste, which may play a key role in the onset of Alzheimer’ disease. This advance opens new opportunities for understanding the physics of solute transport in the brain and its impact on neurovascular diseases. Based on this new modeling framework, the objective of this PhD project is to investigate how the spatial organization of arterioles/venules controls the appearance and growth of critical regions of reduced oxygenation and waste clearance.
24 month PDRA - CCS - Geochemistry - Flow
University of Manchester
Expert in programming (e.g. in C++), reservoir CCS modelling and simulation? Only a few days (until May 15th) left to apply for the 24-month PDRA in the IMPRES group. Knowledge of TOUGH2 will be considered an advantage.

see the link for the application.
Postdoctoral position (3 years) on subsurface hydrogen storage
Delft University of Technology
The overarching aim of this project is to investigate how multi-scale and hierarchical geological heterogeneities impact transport, mixing, and chemical reactions during subsurface hydrogen storage in depleted gas reservoirs. The main approach will be to perform a comprehensive simulation study, complemented by laboratory experiments carried out in a collaborative project. Ultimately, the project aims to characterise the key characteristics of depleted gas reservoirs that are suitable candidates for subsurface hydrogen storage. To achieve this aim, the successful candidate will be designing multi-scale reservoir modelling and simulation studies and utilise the results to develop dimensionless numbers that allow us to quantify the amount of back-produced hydrogen from depleted gas reservoirs while accounting for geological heterogeneity, mixing of cushion gas and hydrogen, geochemical reactions, and well designs.

This interdisciplinary project will be carried out in close collaboration with the industry partner Shell, and will be based at the Department of Geoscience and Engineering at TU Delft. There it will bridge across the research conducted at the reservoir engineering section and applied geology section, benefitting from the department's wider research activities in subsurface storage, the DARSim Research Group, and the Energi Simulation Centre for Geoenergy.

Closing date for any applications is May 27 at 23:59 CEST.
PhD Research Fellow in Experimental Porous Media Physics
University of Oslo
A position as PhD Research Fellow in experimental porous media physics will be advertised around August/September at the Centre of Excellence (SFF) PoreLab at the Njord Centre, Department of Physics, University of Oslo. Specific details of the position are yet to be announced but it will be focused around the broad area of investigating the interplay between viscous, capillary and/or frictional forces in porous media flows using table-top experimental setups. Get in contact if you are interested and we will send further details once the advertisement text is available.
Postdoctoral position in the physics of porous materials
To strengthen our scientific team, we invite applications for a
Postdoctoral position in the physics of porous materials and energy applications (a)
Your tasks
The postdoctoral researcher will work on fundamental processes and methods that are relevant for engineering applications such as energy production, energy harvesting, negative carbon emission, functional building materials, and a variety of industrial processes.

Possible research areas of interest include: fundamental processes in porous materials (instabilities, mixture theory for multiphase flow systems, mechanical stability); multiscale and multiphysics modeling of complex processes; porous membrane, biofilms, and bioreactors; reactive transport and carbon negative materials; supermaterials (enhanced physicochemical properties, self-healing materials, metamaterials).
Your profile
The applicants must hold a recent PhD degree, preferably in physics, mechanical engineering, materials science, chemical engineering, or related fields. The ideal candidate has previously worked in fields such as porous media science, fluid and continuum mechanics (including interface processes), physics and chemistry of membranes, and biofilms. She/he is skilled in modeling phenomena over multiple scales (e.g., molecular scales, pore scale, continuum scale, building and regional scales) and working with real data; experience in performing experiments is an asset.
Postdoctoral research position on numerical modeling of precipitation-triggered rock dynamics
A postdoctoral research position (18 months + possibility for extension) will be opened in the summer of 2023 to join the ERC-project PRD-Trigger (Starting Grant,, The postdoctoral researcher will focus on the development of a simulator for coupled transport-precipitation-rock dynamics at the meso-scale, in conjunction with currently ongoing experimental work using dynamic X-ray tomography ( The development of an integrated phase field description is envisaged, but we are open to other approaches depending on the experience of the candidate. Preference will be given to candidates developing the simulator in an open source environment (e.g. MOOSE). If you are passionate about the numerical modeling of thermo-hydro-chemo-mechanical processes in porous media at their meso-scale, and looking for an exciting opportunity to develop your research in a collaborative and autonomous way at the foothills of the French Pyrenees, do not hesitate to contact me.
Postdoctoral Researcher "Multi-Scale Modeling of Processes" (M/F): High-Energy Efficiency Biogas Purification System
IMT Nord Europe
The STIMulE (Support for Interdisciplinary, Multi-institutional, and Exploratory Works) program aims to
promote collaboration and bring together various skills to contribute to the development of Hauts-de-France
and nurture future regional scientific excellence. The collaborative research project "PISCO" involving the CERI
Energy and Environment of IMT Nord Europe and the TIMR UTC-ESCOM laboratory is part of the development
of selective and energy-efficient CO2/CH4 separation technologies, which are essential for the complete
valorization of biogas (CH4 and CO2). The ultimate goal of the PISCO project is to propose an industrially feasible
intensified adsorber for CO2 separation. This project proposes the use of biosourced polybenzoxazine resins as
precursors for the production of selective CO2 adsorbents.
Objectives: The recruited person will be responsible for conducting research work for the PISCO project. These
works will focus on the modeling of the biogas purification process (CO2/CH4 separation) at two levels of scale:
1. Systemic Scale: Physical models simulating the behavior of complex energy systems with various
components (separation units, solar heating, photovoltaic sensors, thermal storage, etc.) will be
implemented to globally optimize the energy efficiency of the purification process as well as its
performance indicators (purity, productivity, recovery rate).
2. Component Scale: System optimization will guide the development of an operational intensification
technique at the scale of the adsorber-exchanger unit using computational fluid dynamics (CFD)
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