A PhD position is available at the School of Chemical Engineering at the University of Birmingham. The project concerns the modelling and simulation of cavitation erosion including the effect of high-temperature spots in the erosion process.
Cavitation erosion involves various phenomena that occur at different scales ranging from the collapse of the bubble to the propagation of the shock wave into the solid structure. Computer simulation of each of these phenomena relies on different modelling techniques but no model can cover, alone, the complexity of the system under investigation and a unified computational methodology is required. At the University of Birmingham we have developed a hybrid technique (called Discrete Multiphysics DMP) that, by linking together different models, can reach results not attainable with each technique separately. This method has been successfully tested for a variety of multiphase systems at various flow conditions and length scales and, in this project, will be extended to the case of cavitation erosion. This will be achieved by combining together smoothed-particle hydrodynamics (SPH) and coarse-grained molecular dynamics (CGMD). The SPH method, in fact, is particularly effective in modelling shock waves, while CGMD is more accurate in the calculation of shock-induced damage in solids. By combining these two techniques in a hybrid fashion, we can link the propagation of the shock wave generated by the collapse of a spherical void within the liquid and the consequent erosion caused by its impact on a solid surface. This is a clear advantage over traditional numerical techniques such as Computational Fluid Dynamics (CFD) that can only deal with the hydrodynamics of cavitation and not with the effect of hydrodynamics on the erosion of the solid surface. We will also extend the DMP to include heat transfer and heat generation to assess the effect of temperature on erosion.
The project is funded by the US Office of Naval Research (USNO).
Applicants require a 2:1 or higher MEng Honours degree in Chemical or Mechanical Engineering, Physics or in a related subject area. Knowledge of C++ and programming experience is essential; specific interest or previous work in fluid mechanics and/or particle methods (e.g. Molecular Dynamics or Discrete Element Method) would be an advantage. The project is open to UK or EU applicants only.
The School of Chemical Engineering at the University of Birmingham has one of the largest concentrations of Chemical Engineering expertise in the UK and it has been ranked third in UK in the last Research Excellence Framework (REF).
Enquiries should be directed to Dr. Alessio Alexiadis: firstname.lastname@example.org.
The Laboratory of Nanotechnology for Precision Medicine at IIT – Genova (https://www.iit.it/research/lines/nanotechnology-for-precision-medicine) focuses its research activities on the rational design of nanoconstructs for multi-modal imaging and combination therapy in cancer, cardiovascular and neurodegenerative diseases; fabrication of microfluidic chips for the screening of nanomedicines and the analysis of tumor biophysics; and development of hierarchical multi-scale computational models. This is achieved by integrating the expertise of biomedical engineers, physicists, chemists, biologists, pharmacologists, and clinical scientists.
The Laboratory of Nanotechnology for Precision Medicine seeks a post-doc in the framework of the European Research Council project “Engineering Discoidal Polymeric Nanoconstructs for the Multi-Physics Treatment of Brain Tumors – POTENT” funded by the European Commission with Grant Agreement n. 616695, to work on the development of computational models for assessing the transport of nanomedicines within the vascular and extravascular compartments.
Models will help elucidating the interaction of circulating nanoconstructs with red blood cells, endothelial cells lining the blood vessel walls and epithelial/cancer cells residing in the malignant tissue. This will be achieved by developing hierarchical and multi-physics computational models combining continuum mechanics approaches with Lattice Boltzmann and Molecular Dynamics methods.
The selected candidate will closely collaborate with experimentalists for validating the simulations and developing truly predictive models.
The ideal candidates will have:
- a PhD in Computational Sciences, Engineering, Theoretical Chemistry or Physics;
- previous experience in parallel and multiscale computing;
- ability to properly report research data and work in a highly interdisciplinary environment.
For any informal questions, please contact directly Dr. Paolo Decuzzi
For a formal application, please send a CV, a cover letter describing your previous work and career goals, and names of 2 referees to email@example.com.
Please apply by June 30, 2017
♣ Become proficient with the cellular blood flow code at Georgia Tech based on lattice-Boltzmann method.
♣ Apply this code for analysis of flow in heart valves with fluid-solid interaction.
♣ Interact with experimentalists in collaborating research labs.
♣ Prepare publications and participate in conferences.
♣ Exercise independent responsibility for project outcomes.
♣ Actively participate in proposal writing and soliciting funds through various federally funded research grant mechanisms (NIH, NSF etc.), and translational research funds.
♣ Participate in industry projects.
♣ Mentor graduate and undergraduate students.
♣ Ph.D. in Mechanical Engineering, Biomedical Engineering, Physics or related field,
♣ In-depth knowledge of fluid mechanics
♣ Demonstrated experience in computational methods, parallel processing (MPI), code optimization, post processing
♣ Demonstrated experience with C programming
♣ Knowledge of lattice-Boltzmann method
Additional Desired Qualifications
♣ Image processing
♣ Knowledge of cardiovascular physiology and/or medical devices
For consideration, send your resume, list of publications, and transcripts to firstname.lastname@example.org
Application deadline 31/10/2017
Function: Postdoc position
Salary: € 3068.- to € 4028.-
Education required: PhD
Metallic nanoparticles can be employed as “signal ampliers” for spectrometry techniques, of particular interest when the detection of tiny amounts of analyte is required. In order to use such a surface-enhanced spectrometry technique, small ‘packets’ of nanoparticles and analytes can be prepared making use of a controlled evaporation process. The first part of the project to be carried out by the postdoc will be to perform simulations on the droplet evaporation process, with parameters given by the experiments. In the second part, particles will be added to the evaporating liquid and their interactions and arrangement needs to be modelled. The project is essentially of numerical/simulation character, while other students and researchers in the group will be simultaneously working on the same topic via experiments and bio-physical applications.
We are looking for a candidate with a PhD degree in a relevant field, like e.g. physics, mathematics, chemistry or engineering. The candidate should be able to work independently, and have excellent skills in physics and mathematics (both theoretical and numerical). Experience in lattice Boltzmann schemes, dissipative particle dynamics, smoothed-particle hydrodynamics, Monte Carlo, molecular dynamics, Stokesian dynamics, multiparticle collision dynamics or any other type of CFD techniques with applications in soft matter will be required and decisive. Fluent spoken and written English is required. Excellent communication and team-working skills are expected from the candidate due to the multidisciplinary and collaborative approach of the project.
The work will be based in the Physics of Fluids (PoF) group (http://pof.tnw.utwente.nl/) in the Netherlands under the supervision of Alvaro Marin (alvaro-marin.com), and financed through the ERC-StG grant “NanoPacks”. The PoF is a large and multidisciplinary group counting currently more than 30 PhD students, 15 postdocs, 5 full-time academic staff members and about 10 part-time members. The research done in the group covers practically all fields within fluid physics and fluid mechanics, and extends to granular matter, physical chemistry, mathematical physics … and many others. This particular project will be carried out in close collaboration with Jens Harting (HelmhoItz Institute Erlangen-Nürnberg). Please contact asap via email to Alvaro Marin (email@example.com) with a C.V. and a motivation letter. Alternatively you can also contact Jens Harting for more information during the DSDF2017 conference.
Through the tumour labyrinth: developing a mechanistic understanding of blood flow and oxygen delivery in tumour vasculature
Blood flow patterns in tumour vasculature are known to be highly irregular, with the distribution of red blood cells (or haematocrit) showing marked deviations from those observed in healthy tissue vasculature. These abnormalities present a challenge for drug delivery and have been linked to tumour hypoxia and enhanced tumour angiogenesis. Vascular normalisation therapies have been proposed to overcome these effects.
To date, many of the available computational models of tumour blood flow describe blood as a homogeneous fluid and employ phenomenological rules to determine haematocrit changes at vessel bifurcations (Pries et al. 1989). This is, in part, due to the computational challenges associated with simulating haematocrit changes in a mechanistic way, i.e. by explicitly describing the transport of red blood cells (RBC) in plasma. Unfortunately, such simplified approaches fail to capture the complex haemodynamics encountered in tumours.
Co-supervisors Bernabeu and Krüger have recently developed an extension to the blood flow simulation platform HemeLB (Bernabeu et al. 2014) that enables the simulation of blood flow as a suspension of RBCs (Krüger et al. 2011). Co-supervisor Byrne and colleagues in Oxford and Barcelona have considerable experience of simulating blood flow and oxygen distributions in tumours (Grogan et al. 2016) and have recently developed a microfluidics assay that recapitulates RBC dynamics in tumour vascular networks. Both computer simulations and microfluidics experiments are informed by novel intravital microscopy data of mouse tumour xenographs generated by close collaborators.
In this project, we aim to integrate data from computer simulations, microfluidic platforms, and intravital microscopy in order to develop a mechanistic understanding of blood flow and oxygen delivery in tumour vasculature. This knowledge will allow us to formulate a theory of transport in the tumour vasculature that is suitable for evaluating vascular normalisation strategies and of relevance in a clinical context.
Candidate profile: We are looking for highly motivated candidates with a strong background in one of the following disciplines (or closely related): Applied Mathematics, Computational Physics, Mechanical or Biomedical Engineering. The successful candidate will work in a highly interdisciplinary environment at the interface between Computational Fluid Dynamics and Biomedicine. She/he will show commitment to developing expertise in both domains and be able to work independently and as part of distributed international team.
- Dr Miguel O. Bernabeu, Centre for Medical Informatics, The University of Edinburgh.
- Dr Timm Krüger, Department of Engineering, The University of Edinburgh. • Prof. David Robertson, Centre for Medical Informatics, The University of Edinburgh.
In collaboration with:
- Prof. Helen Byrne, Mathematical Institute, University of Oxford. • Prof. Tomás Alarcón, Centre de Recerca Matemàtica, Barcelona, Spain.
- Prof. Ruth Muschel, Department of Oncology, University of Oxford.
A strong academic track record with a 2:1 or higher in relevant undergraduate degree. It is also desirable to have a strong performance on a relevant postgraduate degree, or its equivalent if outside the UK. Proven experience in one or more of the following is desirable: mathematical modelling, computational fluid dynamics, image processing or one scientific programming language (e.g. C++, Python, Fortran). Applicants must meet the entry requirements (including English language proficiency) for acceptance onto The University of Edinburgh, Usher Institute, Medical Informatics PhD programme. Following interview, the selected candidate will need to apply and be accepted for a place on the Usher Institute Medical Informatics PhD programme. Details about the PhD programme can be found here: http://www.ed.ac.uk/studying/postgraduate/degrees/index.php?r=site/view&id=924
Please provide a CV, a personal statement detailing your research interests and reasons for applying, degree certificate(s), marks for your degree(s) and 2 academic references in electronic format and email to: S.Georges@ed.ac.uk For further information about the project and additional references contact the primary supervisor: firstname.lastname@example.org The closing date for applications is: Friday 28 July 2017 Interviews will be held: August 2017 – date to be confirmed (interviews may be conducted by videoconference or Skype)
The studentship will ideally begin in the last quarter of 2017 but there is flexibility in the case of outstanding candidates.
Funding Notes This is a University of Edinburgh funded award and will provide an annual stipend for three years of £14,553 per year (subject to confirmation), plus University fees for UK/EU students. UK/EU tuition fees only (any eligible non-EU candidates must fund the remainder of the overseas tuition fee). There will in addition be £1000 funding towards research costs p.a. and up to £300 conference/travel fees p.a.
Expected starting date: 01.11.2017
Mesoscopic simulation of the development of porosity and large scale transport processes
The aim of this project is to obtain a fundamental understanding of the transport and formation processes involved in the production of catalytic active structural materials. The problem is to understand the interplay between the element distribution in the originally formed solidified microstructure of NiAl and the (Electro)-chemical dealloying process including diffusion and re-adsorption of etched material on the final catalytic active structure. In order to obtain high catalytic activity, a maximal surface area with high Ni content is mandatory. This can be obtained by a combination of well-defined structural element distributions in the solidified microstructure with an optimized dealloying procedure. This way, highly porous 3D structures with high interface activity can be obtained. However, during the dealloying and creation of these structures, material has to be transported away from the interface. Due to a diffusion limited transport, re-adsorption of this material in areas close to the pore openings might take place which can cause blocking of the pores and thus practically deactivate the desired active surface.
We will develop a new simulation paradigm to understand the effective catalytic activity and selectivity of these materials which is based on a mesoscopic stochastic model describing the (Electro)-chemical dealloying of solidified NiAl microstructures. As an input for the model we will use locally resolved element distributions and effective dealloying rates obtained by our experimental collaborators.
The model will be based on a three-dimensional stochastic description of temperature and material dependent diffusion limited aggregation/degradation processes, combined with an advection-diffusion equation for the material transport inside the developing porous structure. At larger scales, a thermal and reactive multicomponent lattice Boltzmann method which was recently implemented in our group shall be applied.