13 Postdoctoral Fellowship at Lund University, Scania, Sweden

We are looking for a driven and motivated Postdoctoral research fellow for an internationally unique project aiming to develop an immunomodulatory treatment against cardiac inflammation. Our unique treatment inhibits inflammation, reduces myocardial damage and improves cardiac function in diseases such as myocardial infarction, myocarditis and sepsis. In-vivo and in-vitro experiments will be performed to define the underlying immunopathological mechanisms and to develop the treatment towards a possible therapy for patients. The position offers a great opportunity to be involved in a project with high potential for future clinical applicability.  

A postdoctoral position is a fixed-term career development position primarily focused on research. The position is intended as an initial step in a career and shall give the applicant an opportunity to develop their independence as a researcher as well as create conditions to gain further credentials as a researcher.

This project seeks to deepen molecular-level understanding of amyloidosis as well and will involve detailed comparative studies of amyloid material derived from in vitro and ex vivo sources. It will make extensive use of X-ray and neutron diffraction, cryo-EM, and a wide range of other biophysical techniques, using the MAX-IV and ESS facilities in Sweden as well as the ESRF and ILL X-ray/neutron sources in Grenoble, France.

We are looking for a postdoctoral fellow to work within the MR physics group on the development of prostate cancer diagnostics and treatment monitoring in both the clinical and pre-clinical environment. We will use advanced diffusion- and relaxation-MRI to investigate the tissue microstructure and generate parameters that can be used as clinical biomarkers. Emphasis is placed on the ability to work interdisciplinary (i.e., in collaboration with researchers, doctors and international partners) and independently (i.e., through self-initiative, structuring and planning of original research). The MR physics group has a large international collaborative network, which means that travel for planning and execution of various future collaborative projects will be encouraged. Teaching and supervision at the advanced and postgraduate level can be included depending on departmental needs.

Formulation of sustainable forest policies requires solid understanding of environmental and economic impacts of alternative forest management. This postdoc links efforts of two research projects (ForestPath and Green Pole) to investigate how to balance biodiversity, climate, social values and economy as affected by forest management and policy. The postdoc will focus on predicting consequences for biodiversity of alternative forestry practices and assist in tracing them to underlying policy changes. This requires development of robust ways to relate biodiversity to forest structures that are affected by decisions on both how production forest is managed and to what extent areas are excluded from forestry. To this end, existing data will be used to develop models able to predict how management and policy options impact biodiversity in Swedish and Nordic forests. 

The post doc position is positioned at the division for Nanobiotechnology where the key activities are directed towards microfluidics and lab-on-a-chip technologies. The division holds a frontier position in acoustofluidics research with focus on both fundamental fluid physics in acoustic fields and life science applications of acoustofluidics (https://bme.lth.se/research-pages/nanobiotechnology-and-lab-on-a-chip/). The research is closely linked to the medical faculty within both preclinical and clinical queries, with a goal to develop new technology for sorting, manipulation and analysis of cells and other biological particles. The research is performed in laboratories both at LTH and at the Biomedical Center at Lund University.  The department also hosts an infrastructure resource to support the development of microfluidic and lab-on-a-chip systems for research groups at Lund University.

The Clinical and Molecular Osteoporosis Research group, led by Professor Kristina Åkesson, conducts research with a focus on the identification of risk factors contributing to osteoporosis and fragility fractures. The research studies range from clinical- and patient-related to experimental. More information about the research can be found here. The position is located at the Clinical Research Centre (CRC), Malmö, and at the department of orthopedics, Malmö.

Within the research group, we value a good working environment with respect and consideration in our relationships and strive for a workplace that is conducive and stimulating for all co-workers. We work constantly to create conditions for job satisfaction, development and inclusion for all employees. We value both the physical and psychosocial work environment.

In many modern applications, like medical image reconstruction, the solution of interest is described by a discontinuous function. Unfortunately, it is a priori unknown where the discontinuities are located and their location has to be determined numerically. In fact, computing discontinuities wrongly or inaccurately could be either fatal (as in obstacle and tumour detection) or scientifically costly. In this project, we solve image reconstruction problems by constructing methods that automatically adjust to the discontinuities of the underlying (observed) data. This adjustment leads to methods, which adaptively (in an iterative manner) reduce the reconstruction error, allowing to obtain the discontinuities more accurately and hence yield qualitatively better reconstructions than state-of-the-art methods, while keeping the computational complexity of the underlying problem on a manageable size.

Project 2: Randomized time stepping schemes

In this project, we focus on the temporal approximation of evolution equations. We aim to construct and analyze randomized time-stepping methods. In the past, randomized methods have been a popular tool for machine learning applications and also quadrature rules in the form of stochastic optimization schemes and Monte Carlo methods. Compared to deterministic methods, they can lead to an increased convergence order or lower computational costs depending on the type of randomization. We plan to apply these successful randomization tools in the field of temporal discretization of differential equations. In particular, we will concentrate on including splitting methods in this context.

This project is funded by the Crafoord Foundation. Read more:

https://www.crafoord.se

 (contact: Monika Eisenmann, [email protected])

Project 3: Convergence analysis of neural/universal differential equations

Here, we will study and develop numerical methods for so-called neural differential equations and more generally, universal differential equations. These are differential equations with embedded universal approximators such as neural networks. Such equations have recently proven to be very useful e.g. for data-driven model discovery and for solving high-dimensional partial differential equations. To use them effectively, they require accurate, stable and fast methods for both forward- and backward-integration of the underlying differential equation, corresponding to evaluation and training of the neural network. Most of the focus in the literature so far has been on implementation issues and on maximising speed, while less effort has been made on quantifying errors. You will help us remedy this situation by performing rigorous convergence analyses in appropriate functional analytic frameworks for both existing methods and for novel methods to be developed within the project.

This project is funded by Wallenberg AI, Autonomous Systems and Software Program (WASP). WASP is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems.

The Faculty of Law is advertising one post-doctoral position within the research project QSHIFT: Decision-making in the age of Quantum Computing. QSHIFT is an interdisciplinary research group located in Berlin (Neuroscience, Charité), Copenhagen (Law), St. Gallen (Media & Communication) and Lund (Law). The aim of QSHIFT is to explore the cultural, social and legal significance of quantum computing for human decision-making. The activities of QSHIFT at Lund are coordinated by Dr. Valentin Jeutner. The three-year project is funded by FORTE / CHANSE. The Lund team explores the legal significance of quantum computing within the context of human decision-making. The overarching question is whether the availability of information and technological expertise impacts a human’s ability to make independent decisions in a legally relevant manner. Specific questions in the context of quantum technology include but are not limited to, for instance, whether human decision-makers at times of crisis (e.g. war, pandemic, natural disasters) have a duty to defer to recommendations generated by quantum models; whether the emergence of highly sophisticated technologies like quantum computing undermines the decision-making autonomy of ordinary individuals; whether existing legal standards for decision-making are also applicable to quantum technology; whether the legal analysis concerning the way in which general AI impairs/enhances a human decision-maker’s decision-making process can be applied to quantum technologies.

The researcher will work in collaboration with Dr. Oscar Agertz and the galaxy formation group in Lund. Applicants are encouraged to define their own research, but will also get the opportunity to participate in projects on a wide range of topics, including cosmological zoom simulations of galaxy formation, the origin of the Milky Way, dwarf galaxy formation, and galactic scale models of the turbulent interstellar medium. The group has allocations on domestic supercomputer facilities, which the researcher will get access to.

Teaching may also be included but is voluntary. The position includes the opportunity for three weeks of training in higher education teaching and learning. 

The position is situated in the research group on Joining and Corrosion within the Division of Production and Materials Engineering (IProd) at the Department of Mechanical Engineering Sciences. The division conducts research, development, teaching and industrial collaboration in the field of materials and production engineering with projects such as on Industry 4.0, machining, digitalization of manufacturing processes and sustainable production. The subject area is interdisciplinary and often applied in nature. In this addressed part of the research group has a more fundamental character where advanced characterization methods are used to study industry related research questions. We are interested in new materials, processes, and approaches to achieve understanding of fundamental dynamic processes in modern manufacturing.