16 Postdoctoral Fellowship at Lund University, Scania, Sweden

Microbial communities govern global biogeochemistry. They are the valve that rate regulate decomposition and nutrient mineralisation in soils, and simultaneously constitute the main pathway of atmospheric carbon (C) into soil fractions with long retention times. Climate change is recasting the environmental forcing that determine the microbial ecology that runs biogeochemistry, including warming, drought, thawing of frost, and the perturbations induced by extreme weather events. All this highlights that a fundamental understanding of microbial responses to environmental change is key to predict how biology will feedback to ongoing climate change. 

This postdoc position will investigate how warming, drought, thawing frost, and extreme weather will impact on soil microbial communities by resolving responses in growth rates and associated microbial biogeochemistry (C, N and P cycling). In it, we will functionally characterise key microbial trait distribution at community levels and link these to taxonomic composition to unearth links between microbial structure and ecosystem function (https://esajournals.onlinelibrary.wiley.com/doi/full/10.1002/ecy.3594). Uncovered patterns will also be interfaced via conceptual models into ecosystem and global-scale models using e.g. LPJ GUESS / EC-Earth. You will be working closely with several researchers and PhD students to extend the breadth and cover of environmental factors. You work will include field work, the establishment of field experiments, laboratory experiments, and will be laboratory intensive.

The position is placed at the Division of Astrophysics in the Department of Physics to work with David Hobbs on developing algorithms to improve the quality and scientific information that can be derived from the LISA mission. This work will be done in close collaboration with the Stellar Dynamics and Evolution group in Lund, headed by Ross Church, which works on a range of topics related to understanding the evolution and dynamics of single and binary stars, particularly neutron star binaries which are detectable by LISA.

A central challenge of analysing LISA data is to deal with the so-called cocktail party problem – since all emitting gravitational wave sources are visible at all times, any individual source must be extracted from the cacophony of noise provided by all the other sources. We wish to study and evaluate algorithms for analysing LISA data, with the aim of producing more robust solutions. It is envisioned that the algorithms would iteratively improve the global solution by adding increasing amounts of data during the mission and using earlier high quality solutions as priors for subsequent steps. It is not a-priori clear that the current Markov Chain Monte Carlo methods are the best solution for this problem so our focus will be to attempt different algorithmic approaches to assess their suitability for solving the global problem in terms of convergence, characterisation of correlations, and false positive detection, which is particularly important for fainter sources.

As a Post Doctoral researcher on this project, you will be a member of an interdisciplinary team developing (nano)structured materials that can significantly impact the sustainability of our society, as described in the WISE program. The group develops and characterizes architectures of matter with well-defined (multi)functionalities across scales. These include: tailored photonic responses ranging from UV to thermal wavelengths, control of fluid flow, and mass and heat transfer. The team has a strong background in advanced nanofabrication methods including 3D lithography and multimodal X-ray characterization method development at large scale facilities.

The position is part of the 3-year research project “political party competition and the transnational cleavage in Europe” (https://www.svet.lu.se/en/article/major-research-grant-awarded-professor-jonathan-polk-exploring-political-party-dynamics-europe).

The purpose of the project is to update our understanding of political party competition for the 21st century by examining and explaining the positioning of political parties on topics that make up a cleavage separating parties that support international integration and denationalisation from those that strive to preserve cultural distinctiveness and national autonomy.

Within this project, we will collect and analyze data on party positions surrounding political topics that relate to this transnational divide: immigration, the environment, Gender/LGBTQ+ politics and international trade. In connection with the Chapel Hill Expert Survey on party positioning (CHES), you will work with the project PI to develop and run a series highly-focused expert surveys with the purpose of unpacking and understanding the positions that political parties in Europe take on these four policy areas at the centre of the transnational cleavage.

The work involves design and optimization of various types of turbomachinery. Application areas of turbomachinery are very wide and diverse, from main engines and fuel pumps of the airplanes to stationary turbomachines inside the power plants. The design and optimization process involve development of mathematical models for the components of both axial and radial turbomachines. The applicant is therefore expected to have a strong background in mathematical sciences or engineering. Due to the strong coupling of the turbomachinery devices with power production units, it is desired that the applicant has working knowledge in power electronics and control theory. In addition, knowledge of artificial intelligence and neural network systems are considered a great advantage.

Duties of the researcher position are to conduct research involving numerical modelling.   The researcher will improve microphysics schemes in a global model treating various mechanisms of ice initiation. Satellite and other observations of clouds will be collected so as to verify the accuracy of the global model.   Impacts on the climate from changes in ice-nucleating aerosols from anthropogenic emissions will be evaluated.

As a postdoc in the Atkinson lab you will work on the identification and characterization of bacterial immune systems and host manipulation factors of phages. The project may involve computational analyses, experimental approaches, or a combination of both, depending on the candidate’s expertise and interests. There will also be opportunities for collaboration on interdisciplinary projects. Our group works closely with the experimental Hauryliuk lab, fostering a highly interactive and collaborative research environment that integrates computational and experimental expertise to tackle key questions in the field.

This postdoctoral position focuses on advancing hydrological modelling in reservoir-regulated rivers. The research will explore innovative approaches to improve representation of reservoir operations within hydrological models (such as HYPE and SWAT), with particular emphasis on integrating satellite observations and machine learning techniques with process-based modelling frameworks. The successful candidate will work on developing methods to derive reservoir operation rules and estimate reservoir outflow from historical in-situ measured data and satellite observations, and incorporate these into existing hydrological models to enhance streamflow prediction accuracy downstream of reservoirs. The research will mainly focus on regulated rivers in Sweden, but regulated rivers with good data availability from other countries will also be considered for methods development and evaluation.

Transport and Roads is a division within the Department of Technology and Society. We have around 40 employees and our offices are located at LTH Campus. 

You will mainly be working in the research group Traffic Safety and Behaviour, but also in collaboration with other research groups at the department. The group performs research on a variety of subjects related to traffic safety, including policy development and implementation, evaluation of traffic safety measures, vulnerable road users and automated vehicles. The group uses data-driven methods for traffic data collection and traffic safety evaluation, such as video analysis, surrogate measures of safety and traffic simulation in virtual reality. We also work on studies based on interviews, questionnaires, observations and other methods among users and experts. The group is involved in many national and international activities related to research and education in the traffic safety domain.

The Remote Sensing and AI in Hydrology research group within the Division of Water Resources Engineering focuses on integrating various remote sensing precipitation data, including both satellite-based and ground-based radar sensors. Beginning in Spring 2025, the group will launch the research project Opti-SITE, funded by the Interreg Öresund-Kattegat-Skagerrak funding scheme. This project, coordinated by Sweden Water Research, involves multiple partners from both Sweden and Denmark. The main objective is to enhance the accuracy of precipitation data for urban flood management by integrating X-band weather radar and Micro Rain Radar data using artificial intelligence.

At the heart of computational complexity theory is the quest to understand the nature of efficient computation. What makes a problem computationally hard or easy? How can we show that every algorithm that solves a certain problem must necessarily consume a large amount of resources (such as time or memory, say)? The study of the potential and limits of efficient computation is about foundational, mathematical, research, but research results in computational complexity theory have had major impact in other areas of computer science and other scientific disciplines, and have given rise to some of the most important open problems in modern mathematics.

The research group uses ultrafast spectroscopy and microscopy to study light-induced processes. Project concerns developing and commissioning of the new two dimensional electronic spectroscopy (2DES) setup, which then will be used to investigate ultrafast processes in different molecular and semiconductor materials. The project also includes optimizing and carrying on time-resolved photoemission electron microscopy (TR-PEEM) experiments on semiconductor and molecular systems to understand light-triggered processes in individual nanostructures.