PhD and postdoc opportunities - June 2023

Assistant Professor Plant Systems, Computational or Synthetic Biology
Campus Venlo and Maastricht Centre for Systems Biology (MaCSBio) - Maastricht University

We are looking for a candidate with the ambition to reach a leading position in Systems, Computational or Synthetic Biology, experienced in the areas of multiscale modelling of biological systems (e.g. dynamic (ODE) models, genome-scale metabolic models (GEMs)), and/or machine learning of biological data (e.g. multi-omics data integration, imaging genomics, network biology).

Our ideal candidate has:

• A PhD degree in systems biology, computational biology, synthetic biology, applied mathematics, bioinformatics, or a related field;
• The ambition to reach a leading position in these areas;
• An excellent track record in scientific publications;
• A strong scientific network;
• Proven experience in the acquisition and management of externally funded research projects;
• Experience in teaching and supervision of PhD candidates and BSc/MSc students. Maastricht University requires teaching staff to have the University Teaching Qualification (BKO) or acquire this qualification preferably within the first two years;
• A personality characterized by collaboration, vision, and ambition;
• Fluency in the English language.

Deadline 19 July 2023

More info and application HERE

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1 PRE/POST DOCTORAL POSITION
Cardiac Modeling Group - Electronics Engineering Department of the Polytechnical University of Valencia, Spain.

We seek two highly motivated candidate to develop computational multiscale personalized models of the electrical activity of the heart to enable the in silico testing of drug efficacy and safety under healthy and pathological conditions. The candidates will be contracted for three years and working in the frame of the EU funded research project: “Simulation of Cardiac Devices & Drugs for in-silico Testing and Certification” (SimCardioTest), Call H2020-SC1-DTH-2018-2020, Research and Innovation Action (Topic SC1-DTH-06-2020).

The candidate will develop cellular to 3D cardiac personalized models to simulate the effects of drugs on the electrical activity of the heart. Methods of image processing and mathematical modeling will be used to achieve the objectives. The candidate will receive data from our collaborators from the clinical and pharmaceutical field to build realistic and personalized models, as well as population of models considering variability and uncertainty. The effects of drugs under several pathological conditions will be analyzed in silico.

Applications: July 2023
Initial date: September-October 2023
Duration: 1.5 years at full and exclusive dedication

QUALIFICATIONS:

• PhD in in Engineering, Mathematics or Physics will be highly valued
• Master Degree in Biomedical Engineering, Applied Mathematics, Physics, other Engineering degrees or related discipline with strong numerical components focusing on mathematical modeling, simulation, and image processing
• Training and/or experience in mechanistic modeling of electrophysiological systems is preferred
• Understanding of ordinary and partial differential equations and how these can be applied in the development of complex models of electrophysiological models
• In-depth, hands-on knowledge of modeling and simulation software (MATLAB, C/C++, Fortran)
• Keen interest in learning new computational skills
• Self-directed with ability to work independently
• Excellent communication and writing skills in English
• Keen interest in living in the sunny Valencia

CONTACT:
For additional information about the position and details on how to apply, please contact Professor Beatriz Trenor (btrenor@eln.upv.es) by the end of June 2023.

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Doctoral student in Biomedical Engineering (biomechanics)
Lund University, Faculty of Engineering, Department of Biomedical Engineering, Lund - Sweden
Lorenzo Grassi - Hanna Isaksson

Biomechanical analysis of hip pathologies

The purpose of this project is to reduce the severity of hip-related diseases during growth and adult age, by introducing a novel method for the diagnosis of hip abnormal development during growth. This can be achieved by reconstructing 3D models of the hip from 2D clinical x-ray images using a statistical shape and appearance model (SSAM). The 3D models of the hip will include pelvis, femur, and the articular cartilage, thus allowing for a novel, multi-factorial analysis of the biomechanics of the hip joint. Hip anatomy will be analysed together with the mechanical response of both cartilage and bone during daily activities, and all these aspects will be linked to the risk of developing OA.

Admission requirements
A person meets the general admission requirements for third-cycle courses and study programmes if the applicant:

• has been awarded a second-cycle qualification, or
• has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second cycle, or
• has acquired substantially equivalent knowledge in some other way in Sweden or abroad.

More info and application HERE

Deadline for application 07 Jul 2023 11:59 PM CEST

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Senior postdoctoral researcher in computer methods for ERC Consolidator Grant O-Health
Pompeu Fabra University: Department of Information and Communication Technologies

We are offering a 4-5-year postdoctoral position for our research line Computer methods for modeling based on finite elements and agents in multiscale simulations, within the context of the O-Health project.

You will be responsible for the development of the multiscale simulation platform of the O-Health project, combining finite element (organ/tissue level) and agent-based (multicellular models) models and solvers. You will be responsible for the conversion of the physics- and biology-based models at the BMMB, into interoperable tools within automated simulation flows, for the bottom-up and top-down modeling of O-Health. You will define, program and implement the modelling & simulation workflows, by using and adapting existing open solutions for interoperability and execution, such as SBML, HDF5 and MUSCLE. You will periodically report to the PI, make sure that the project deadlines and deliverables are met, and you are expected to communicate and disseminate adequately your results through the media, and through scientific/medical congresses and journals.

Deadline Jul 15, 2023

More info and application HERE