A one-year postdoc position is available in the Computational Biomechanics Research Group at University of Glasgow. The project is aimed at combining image segmentation with biomechanical calculations and requires experience in scientific code development and nonlinear biomechanics.
The growth of trees, and the resulting wood microstructure, is substantially influenced by the mechanical loading to which the respective tree structure is subjected. The Austrian Science Fund (FWF – Fonds zur Förderung der wissenschaftlichen Forschung) funds, within the scope of the 1000 ideas programme, a two-year project aiming at the development of computational tools which allow for predicting how and to which extent trees grow under certain mechanical boundary conditions. While so far the field of plant mechanobiology has been mainly driven forward through experimental studies, this project bears the potential of launching a completely new (sub-)field, namely computational plant mechanobiology, by reconciling the theoretical concepts of classical beam mechanics, multiscale wood mechanics, and multiscale systems biology.
Are you an ambitious researcher looking for your next challenge? Do you have an established background in biomedical engineering? Do you want to further your career in one of the UKs leading research intensive Universities?
This project is part of a £4M EPSRC Programme Grant on Optimising Knee therapies, held within the Institute of Medical and Biological Engineering (iMBE). The aim of the programme is to develop preclinical testing methods for early-stage treatments for knee osteoarthritis so their performance can be optimised. In the UK, one third of people aged over 45 have sought treatment for osteoarthritis. The knee is the most common site for osteoarthritis and there is a major unmet clinical need for effective earlier stage interventions that delay or prevent the requirement for total knee replacement surgery. Such treatments involve repair or replacement of diseased or damaged tissues in the knee joint, such as the meniscus, or a small region of cartilage and underlying bone.
The aim of this project is to develop, evaluate and apply an experimental simulation model of the natural human knee joint, specifically to investigate the biotribological and biomechanical function of early knee interventions. Examples of interventions include total meniscus replacement and cartilage repair. You will have a strong background in biotribology, biomechanics, bioengineering or a closely related subject. Due to the environment within the iMBE, you will have a proactive approach to working in a multidisciplinary team with engineers, biologists and clinicians.
The department of Cell Biology-Inspired Tissue Engineering (cBITE) at the MERLN Institute for Technology-inspired Regenerative Medicine at Maastricht University in the Netherlands invites applications for a post-doctoral position. The post-doctoral researcher will perform cutting-edge research in computational modeling methods applied to regenerative medicine and more specifically, to kidney toxin transport in microfluidic set-ups, organoid culture systems and/or bioartificial kidney devices.
Regenerative medicine holds the promise to cure many of what are now chronic patients, restoring health rather than protracting decline, bettering the lives of millions and at the same time preventing lifelong, expensive care processes: cure instead of care. More specifically, at present, dialysis and transplantation are the only treatment options for end-stage kidney disease. In the Netherlands alone, 6,500 people currently depend on dialysis, approximately 1,300 of which will die this year. Regenerative medicine offers an alternative treatment in the form of a bioengineered kidney. As a first step, the partners of RegMed XB will work towards creating a functional subunit of a bioengineered kidney. This functional subunit is the nephron, of which there are approximately one million in the adult kidney. In order to inform the in vitro experiments as well as design a bioartificial kidney as an intermediate step towards a fully bioengineered kidney, this project will use computational models to simulate toxin transport and calculate the flow and geometry requirements for adequate toxin removal in various set-ups: microfluidic, organoid culture systems and bioartificial devices.
Context: In the framework of the ANR project QUSToFood (ANR-17-CE21-0004), a postdoctoral position is open at UMR SayFood. QUSToFood proposes to use Quantitative Ultrasound (QUS) methods for the study of texture perceptions resulting from the mechanical interactions between the tongue and the palate during the oral processing of food. These interactions induce the stimulation of tongue mechanoreceptors and enable the continuous evaluation of the mechanical status of food all along oral processing (from introduction into the mouth to the triggering of swallowing in safe and comfortable conditions). QUS are non-destructive, non-invasive and provide real-time measurement which can be employed both in vitro and in vivo, directly on the individual. The method developed in QUSToFood could thus help to characterize potential losses of sensory quality induced by food and agro ecological transitions, or to meet pleasure and health criteria for specific populations such as infants with sensory processing disorders or seniors suffering from swallowing disorders.
Candidate: The ideal candidate must have completed a PhD in the field of physics, mechanics, biomedical or food engineering. Experience and interest in signal and image processing, and in the in-house design of experimental systems would be an advantage. In all cases, the candidate must have a strong interest and aptitude for multidisciplinary approaches, as this project combines biomechanics, acoustics, rheology, tribology, instrumentation, signal and image processing, food science and sensory analysis.
Contract and location: This contract is for 24 months and the start date is flexible, but shall not be later than January 1, 2021. The gross salary will be from 2500€, depending on the number of years after PhD. The project will be carried out in the labs of UMR SayFood located in the AgroParisTech center of Thiverval-Grignon (a short bus ride from the “Plaisir Grignon” train station, which serves the center of Paris in 25 min). The relocation of the laboratories to a new site in Palaiseau is planned for the second half of the year 2022. The work schedule will be adapted accordingly.
Application: The selection process will start immediately and go on until the position is filled. To apply or inquire further, please contact Vincent Mathieu at firstname.lastname@example.org. Please include a C.V. and a letter of motivation, along with relevant publications and the name of references.
We are looking for talented scientists and engineers to join the Synthetic Physiology Lab at the University of Pavia in Italy. Traditional synthetic biologists use DNA parts to program cell function. Similarly, we study how to control tissue function using extracellular matrix (ECM) components. Our first goal is to reverse engineer human heart development in a project funded by the European Research Council and entitled “Synthetic Matrix Biology: Designer matrices to program healthy and diseased myocardial morphogenesis.”
For this project, we are looking for a computational scientist. The ideal candidate will have experience working with mechanical models of soft materials and (dissipative) particle dynamics in synthetic or biological systems. Previous work in the cardiac field, with LAMMPS/Chaste packages, parallel programming (especially if GPU-enabled), or cloud computing is a plus. At the same time, we will be doing things differently than most efforts in this field, so anyone with great scientific programming skills and interested in using particle dynamics to describe cell and tissue mechanics is welcome.
Academic context: This project will take place at Sainbiose (UMR INSERM-U1059 – Mines Saint-Etienne, France), in a group working in the domain of arterial mechanobiology, in collaboration with vascular surgeons. It is funded by an ERC consolidator grant.
Scientific context: The mechanical response of arterial tissue is a consequence of the arterial microstructure morphology. In the past decade, the different fiber networks (namely the collagen and elastin networks) have been investigated because of their important role in the arterial mechanics. Their maintenance is achieved by different intramural cells (smooth muscle cells, fibroblasts). Our objective is to investigate computationally how the impairment of important biological pathways involved in this maintenance can have dramatic effects on the integrity of fiber networks and lead to an aneurysm and a dissection in the aorta.
Project summary: During the past years, within the ERC project Biolochanics*, our group developed a mechanobiological model of the arterial wall. It can predict the non-linear mechanical behavior of arteries from their microstructure and simulate the growth and remodeling effects using the constrained mixture theory and the concept of maintaining stress homeostasis in the vessel wall. Presently, only the effects of proteolytic injury have been considered as triggers of growth and remodelling. However, recently published contributions show that impairment of mechanosensitivity and mechanotransduction of smooth muscle cells is a major driver of aneurysm development. Using our computational models and existing experimental data in our group, and integrating innovative theoretical developments, the successful applicant will investigate these effects computationally to eventually propose patient-specific simulations of aortic aneurysm progression. He/she will also be in charge of validating the proposed model.
Student profile: background in computational mechanics and mechanobiology. The ideal applicant has motivation for work at the interface between disciplines.
Administrative aspects: This is a 12-month position, renewable, starting 1st October 2020. If you are interested, please send, via email, a curriculum vitae and a cover letter, to Prof. Stéphane Avril (email@example.com)
PostDoc position in the frame of a H2020 project: PRIMAGE / PRedictive In-silico Multiscale Analytics to support cancer personalized diaGnosis and prognosis, empowered by imaging biomarkers (G.A. nº. 826494)
The PRIMAGE project is looking for a highly motivated researcher interested in working in an ambitious multidisciplinary project to work at the University of Zaragoza (Spain). PRIMAGE proposes a cloud-based platform to support decision making in the clinical management of malignant solid tumours, offering predictive tools to assist diagnosis, prognosis, therapies choice and treatment follow up, based on the use if novel imaging biomarkers, in-silico tumour growth simulation, advanced visualisation of predictions with weighted confidence scores and machine-learning based translation of this knowledge into predictors for the most relevant, disease-specific, Clinical End Points.
We are hiring a post-doc with certified experience in other research groups in the following tasks: advance computational simulation of living tissues, Imaging post-processing, management and coordination of research projects.
We are excited to be able to recruit a postdoctoral research associate in the area of Multiscale Mechanics of Mineralised Tissues to the Biomechanics group at Heriot-Watt University. The selected candidate will join a multidisciplinary team to work on a Leverhulme Trust funded project seeking to understand rapid cold-water coral habitat loss in a future ocean. Specifically, we seek to understand how climate change induced ocean acidification and bioerosion affect the multiscale mechanical properties of cold-water coral reefs and how these effects may accelerate reef-habitat loss.
The selected candidate will be based at Heriot-Watt University joining a multidisciplinary team working on multiscale mechanics of biologic tissues and structures. This is a joint project with the Changing Oceans Group at the University of Edinburgh, which conducts incubation experiments on live and dead coral skeletons under projected future conditions. The selected candidate will benefit from co-supervision by Dr Sebastian Hennige of the Changing Oceans Group along with visiting scholar access to University of Edinburgh.
Detailed Description of Position
Ocean acidification threatens deep-sea coral reefs and could lead to dramatic and rapid loss of the habitat they make. Here we combine biology and engineering approaches to quantify the risk and time scales of such habitat loss. Increases in porosity and loss of skeletal material in structurally critical parts of the coral reef foundation could lead to physical habitat collapse on an ecosystem scale, reducing its potential to support associated biodiversity. Our unique interdisciplinary approach will identify the timescales and conditions such ‘tipping points’ would occur within, to allow more effective future management of these vulnerable ecosystems.
To do so, we seek to (i) quantify skeletal dissolution rates under different future oceanic conditions (primarily delivered by University of Edinburgh); (ii) develop a simulation framework that allows quantification of failure rates of coral skeletons; (iii) use results from (i) and (ii) to scale up to larger reef-type structures and estimate tipping points of habitat loss. The successful candidate will also develop and conduct characterisation and validation experiments based on extensive expertise in multiscale experimentation. The successful candidate will work closely with our collaborators (with regular joint meetings) to link results of (ii) and (iii) to the marine-biological aspects (i). The successful candidate will also work with our partners within JNCC (Joint Nature Conservation Committee) and NOAA (National Oceanic and Atmospheric Administration, US Department of Commerce) to foster dissemination along the policy making route. This is an exciting new project with scope to contribute significantly to tackling some of the most pressing global challenges.
The successful candidate will make use of our excellent facilities including dedicated biomedical tissue laboratories, and cutting-edge equipment including a broad suite of tissue processing equipment, mechanical testing equipment, imaging equipment (micro-CT, microscopy and optical coherence tomography) and a dedicated node on a high-performance cluster for computation.
We are looking for someone who is ambitious and collaborative, with a passion for developing solution for pressing global challenges. The post will be for 36 months. There may be the opportunity for the post holder to develop their own fellowship applications during this post, with support from the PI.
The successful candidate will work in two departments that have an international reputation for engineering, strong expertise in biomedical engineering as well as marine biology, and world-class equipment and facilities.
Key Duties and Responsibilities
The successful appointee will be expected to undertake the following:
Plan and execute work plans to progress investigations into the multiscale mechanical behaviour from ‘crystal building block to reef’
Lead and contribute to research dissemination (i.e. papers and conference attendance)
Work closely with the PI and collaborators to analyse, interpret, and present experimental and modelling data
Work closely with other postdoctoral associates, PhD students and collaborators to ensure smooth research team function
Participate actively in group meetings
Take a leadership role to ensure the effective running of computational analyses.
Participate in outreach activities, which may involve talks for the general public, attendance at science festivals or and preparation of demonstrators.
Participate in advisory meetings with Joint Nature Conservation Committee (JNCC), which may involve talks to executive decision makers
Responsibilities will also include assistance in the day-to-day running of the simulations and computational analyses using own servers as well as HWUs HPC cluster, liaising with companies and external collaborators.
Contribute, under supervision, to the planning of research projects, including the development of new grant/contract proposals.
Please note that this job description is not exhaustive, and the role holder may be required to undertake other relevant duties commensurate with the grading of the post. Activities may be subject to amendment over time as the role develops and/or priorities and requirements evolve.
Education, Qualifications and Experience
this will form the basis of your selection criteria and shortlisting. Please use the examples below and delete /add as appropriate.
Applicants should a PhD in biomedical engineering, physics, material science, or a related subject (Applicants should have submitted their PhD thesis first draft by the start date.) broadly in one of the following areas:
Multiscale constitutive modelling (ideally but not necessarily biologic hard or soft tissues)
Multiscale mechanics of materials (mathematically, experimentally, or theoretically)
Image based multiscale computational modelling
Experience of programming and simulation
Working with image data (key word: imaged based modelling)
Experience working in a multidisciplinary environment/team and openness to dive into a novel research field in biomechanics
Excellent verbal and written communication skills
A record of high quality, peer-reviewed publications and evidence of contribution to the writing of these publications proportionate to opportunity.
Willingness and ability to travel for dissemination, outreach, and public engagement activities.
Experience in conducting validation and material characterisation experiments (nanoindentation, micropillar testing, macroscopic testing, or similar)
Experience in using/developing artificial neural network approaches
Experience of research-student supervision.
When applying, please include a cover letter addressing these selection criteria.
The intention is to hold the interviews towards the end of week commencing 17/8/2020.
At Heriot-Watt University we understand that being diverse makes us better which is why we support a culture of respect and equal opportunity, and value diversity at the heart of what we do. We want to increase the diversity of our workplace to underpin a dynamic and creative environment.
While this is a full-time post, flexible percentage working regimes may be possible for the right candidate.
Lund University, Faculty of Engineering, Biomedical engineering
Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has 40 000 students and more than 8 000 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.
LTH forms the Faculty of Engineering at Lund University, with approximately 9 000 students. The research carried out at LTH is of a high international standard and we are continuously developing our teaching methods and adapting our courses to current needs.
MAX IV is a Swedish national large-scale research laboratory hosted by Lund University. It provides scientists from Sweden as well as internationally, with state-of-the-art instrumentation for research in areas such as engineering, physics, structural biology, chemistry and nanotechnology. Fully developed it will receive more than 2 000 scientists annually, conducting ground-breaking experiments in materials and life sciences using the brilliant X-ray light.
Background: The research in the biomechanics group is focused on understanding the link between mechanics and biology in the musculoskeletal system, with emphasis on solving problems in orthopaedics. Tissue characterisation, using synchrotron based techniques has become vital to understand the tissue’s function-, structure-, composition relationships.
NanoMAX and SoftiMAX are both nanoprobe beamlines, designed to take full advantage of MAX IV’s exceptionally low emittance and the resulting coherence properties of the X-ray beam enabling imaging applications at unprecedented resolution. NanoMAX uses hard X-rays, and has been operational since 2017. Available techniques include scanning X-ray diffraction and coherent imaging in the Bragg geometry, forward ptychography and coherent diffraction imaging, as well as X-ray fluorescence (XRF) imaging. SoftiMAX is a soft X-ray beamline, planned to be in user operation in 2021. Available techniques include Scanning Transmission X-ray Microscopy (STXM), ptychography, and XRF imaging.
Goals: The current position is primarily dedicated to XRF, with the main aim to develop a more intuitive data analysis pipeline with emphasis on applications for life science-oriented users. The goals will be accomplished through the framework of the research questions addressed within the biomechanics group with focus on understanding the function-structure-composition relationships in mineralized tissues. Specific emphasis is on elucidating the role of Zinc in mineralization of bone.
This employment is at Biomedical Engineering, but with a major part spent at MAX IV laboratory.
Work duties / Tasks
The main duties involved in the post-doctoral position is to conduct research and beamline development. User support is also included, but up to no more than 20% of working hours. The position shall include the opportunity for three weeks of training in higher education teaching and learning.
Detailed description of the work duties, such as:
The post-doc is expected to take responsibility for designing, planning and developing an intuitive and more automated analysis pipeline for XRF data, dedicated to life science users, connected primarily to NanoMAX and secondly to SoftiMAX.
The post-doc is expected to drive the research project connected to mineralization in bone using XRF.
Depending on interest, the post-doc may also combine XRF imaging techniques with other methods available at the beamlines (e.g. wide angle X-ray scattering, nano-diffraction, ptychography and STXM).
The post-doc is expected to assist with user support for relevant experiments, including experiment preparations and guiding in data analysis
The post-doc is expected to be active in workshops, lectures and outreach efforts towards the life science community
Opportunities to also supervise MSc degree projects and to assist the group when seeking external research funding is available.
Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the subject of the position, completed no more than three years before the last date for applications. Under special circumstances, the doctoral degree can have been completed earlier.
Very good oral and written proficiency in English.
A background in physics, applied mathematics, engineering or other relevant fields
Demonstrated experience in synchrotron-related techniques, where experience in XRF Imaging holds special merit
Demonstrated experience in X-ray data analysis
Scientific computer programming skills, preferably in Python (or C++), and experience with large scale data processing.
Demonstrated ability to work in teams and interact with a diverse group of scientists and technical staff in a dynamic environment.
Additional requirements are considered assets
Experience from the life-science field with biological tissue characterization is meriting.
Experience with collaborative software development for scientific applications is meriting.
Experience in providing user support is meriting
Assessment criteria and other qualifications
This is a career development position primarily focused on research. The position is intended as an initial step in a career, and the assessment of the applicants will primarily be based on their research qualifications and potential as researchers.
Particular emphasis will be placed on research skills within the subject.
For appointments to a post-doctoral position, the following shall form the assessment criteria:
A good ability to develop and conduct high quality research.
Scientific communication skills.
Additional assessment criteria:
The post-doc should be able to independently drive his/her own project, as well as writing scientific publications. The post-doc should be able to assist users.International networks and experience is considered positive.
Consideration will also be given to good collaborative skills, drive and independence, and how the applicant’s experience and skills complement and strengthen ongoing research within the department, and how they stand to contribute to its future development.
Terms of employment This is a full-time, fixed-term employment of a maximum of 2 years. The period of employment is determined in accordance with the agreement “Avtal om tidsbegränsad anställning som postdoktor” (“Agreement on fixed-term employment as a post-doctoral fellow”) between Lund University, SACO-S, OFR/S and SEKO, dated 4 September 2008.
Instructions on how to apply
Applications shall be written in English. LTH uses a special qualifications portfolio to report and document qualifications. Draw up the application in accordance with the following outline and attach it as three PDF files (in the recruitment system). Read more here: