31 Postdoctoral Fellowship at Uppsala University, Sweden

Are you an expert in gamma-ray spectrometry? Do you want to work with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favourable working conditions? We welcome you to apply for a postdoc position at Uppsala University.  

The Department of Physics and Astronomy at Uppsala University invites applications for a researcher position in ion physics. A successful applicant is expected to work in basic and applied research within ion physics. The candidate is expected to employ keV and MeV ion beams as both analytical tool and means for materials modification. Engagement in developing advanced data analysis is expected. Applied research conducted mainly for ultra-thin film systems of relevance in electronics, optics, for hard coatings and in related interdisciplinary projects can be part of the working duties. Taking over responsibilities in collaboration projects with industry is anticipated. Supervision of undergraduate and PhD-student projects can be part of the working duties. 

Are you interested in working with research on applied hydrogen system, mainly towards the maritime sector supporting the transition to a fossil-free society, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favourable working conditions? We welcome you to apply for a researcher position at Uppsala University.

We will take a host-virus systems biology approach to elucidate the prevalence of Short Linear Motif (SLiM)-based host-virus protein-protein interactions. Viral proteins mimic human SLiMs to take over the host cell machinery and these interactions have crucial roles in viral infections. We have a unique platform for large-scale screening of SLiM-based interactions. We will screen for interactions among a collection of human bait proteins, which will provide large-scale information on SLiM-based viral hijacking. We will identify host proteins and processes serving as common hubs of viral interference, and validate key interactions through biophysical and virological assays. The project is a collaboration with Per Jemth’s lab at Uppsala University and Anna Överby’s lab at Umeå University.

Are you interested in working with research on applied hydrogen system, mainly towards the maritime sector supporting the transition to a fossil-free society, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favourable working conditions? We welcome you to apply for a research assistant position at Uppsala University.

The Department of Immunology, Genetics and Pathology at Uppsala University has a broad research profile with strong research groups focused on cancer, autoimmune and genetic diseases. A fundamental idea at the department is to stimulate translational research and thereby closer interactions between medical research and health care. Research is presently conducted in the following areas: cancer precision medicine, cancer immunotherapy, genomics and neurobiology, molecular tools and functional genomics, neuro-oncology and neurodegeneration and vascular biology. Department activities are also integrated with the units for Oncology, Clinical Genetics, Clinical Immunology, Clinical Pathology, and Hospital Physics at Akademiska sjukhuset, Uppsala. The department has teaching assignments in several education programmes, including Master Programmes, at the Faculty of Medicine, and at the Disciplinary Domain of Science and Technology. The department has a yearly turnover of around SEK 500 million, out of which more than half is made up of external funding. The staff amounts to approximately 345 employees, out of which 100 are PhD-students, and there are in total more than 700 affiliated people. Feel free to read more about the department’s activities here: www.igp.uu.se

A post-doc position is available in the Department of Mathematics, to work with Associate Professor Cecilia Holmgren and Professor Svante Janson in the areas Probability Theory and Combinatorics, more specifically Combinatorial Probability Theory.

Are you interested in working with the development of new image processing and deep learning methods for the application of automated imaging and quality assessment of grain, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favourable working conditions? We welcome you to apply for a researcher position in image analysis and deep learning at Uppsala University.

The postdoc position is placed in Senior Professor Lars-Gunnar Larsson’s research group at Department of Pharmaceutical Biosciences, Uppsala University. The research is focused on studies of the function, regulation and targeting of the oncoprotein MYC, which plays and important role in tumor development. This includes studies of the function of MYC in transcription, interactions with cofactors, regulation by the ubiquitin system, targeting MYC with small molecules and the role of MYC in tumorigenesis using mouse models. Lars-Gunnar Larsson’s research group has recently moved from Karolinska Institutet, where the group remains affiliated, see web page: http://ki.se/en/mtc/lars-gunnar-larsson-group  

The Internet of Things (IoT) is a critical component in many industries, including manufacturing, healthcare, automotive, and more. However, because of its critical role, the IoT network is constantly a target of attacks. Intrusion Detection Systems (IDS) are critical components of an effective IoT cybersecurity defense strategy and machine learning plays a pivotal role in intrusion detection by learning from past and simulated attacks. 

The rapid development of antibiotic resistance is one of the world’s greatest threats to public health. We therefore need to develop innovative diagnostic methods that can quickly and with high accuracy identify and classify the sensitivity of different bacteria to antibiotics. The purpose is to assist in clinical decision-making with the prescription of correct antibiotic treatment.

A major challenge in determining whether bacterial cells are susceptible or resistant to a specific antibiotic is that there are sometimes very small subpopulations of bacteria that exhibit an unstable and transient change in their resistance, a phenomenon known as heteroresistance. The goal of this project is to develop new methods for rapid detection and isolation of heteroresistant subpopulations of bacteria for future clinical applications. In the project, we will develop new microfluidic systems with integrated acoustics for the identification and isolation of bacteria.

The Department of Chemistry – Ångström conducts research and education in the chemistry field. The department has more than 270 employees and has a turnover of 300 million SEK. At the department’s six programs, we conduct very successful research of a high international standard. We have a large number of externally funded research projects, often with international cooperation and we see continued good growth in our subject area. The department has education assignments in engineering programs and master’s programs. 

The main duties involved in a postdoctoral position is to conduct research. The focus of the current research project is both data harvesting and database management as well as physics-based simulations to explore interface phenomena. The data-driven work aims to extract relations that are difficult to obtain from experiment (i.e. insight) but also to predict interface properties. Teaching may also be included, but up to no more than 20% of working hours. Supervision of degree projects and doctoral students will be encouraged.

Research into the genetic and ecological mechanisms underlying adaptive differentiation among natural populations of the plant model organism Arabidopsis thaliana. The research will be conducted within the framework of an international research collaboration. The overarching goals are to identify the genetic basis of local adaptation and variation in key traits involved in adaptation, to characterize the effects, and geographic distribution of genetic variants affecting fitness, and to examine whether adaptive evolution in local populations is constrained by trade-offs and pleiotropy, and/or the fixation of deleterious mutations.

 

(18) Postdoctoral Fellowship Position

Postdoc Fellowship Position summary/title: Postdoctoral researcher in Statistics

Deadline : 15 january 2024

View details & Apply

 

This project focuses on sustainable nanocomposites made of cellulose and porous organic materials (POMs) that can recover precious metals from electronic waste (E-waste) using sustainable and industrially available organic monomers as raw materials for the synthesis of POMs. Cellulose will be used as substrates for processing POMs into freestanding nanocomposites. The overall goal of this project is to promote E-waste recycling, decrease E-waste disposal, and conserve precious metals.

Additive manufacturing, or 3D-printing, is a disruptive technology enabling the manufacturing of complex structures as well as new material combinations and tailored material microstructures. However, process parameter development to enable printing of new materials with the desired properties may be extremely costly, time- and material consuming. To speed up the development, as well as to achieve a better understanding of the relationship between process parameters and the resulting material microstructure and hence its macroscopic properties, this project will focus on the use of advanced statistical models and machine learning for the additive manufacturing process. The methods will be applied to experimental data derived from powder bed fusion with laser beam (PBF-LB) of biodegradable alloys (Mg- and Zn-based), as these are particularly challenging to process and the microstructures achieved can be very complex. These alloys are promising biomaterials for bone-healing implants due to their ability to be replaced by bone tissue while degrading within the human body. However, for degradable alloys, there is limited knowledge of how to manufacture these materials using additive manufacturing.

This project is about the development of new advanced materials from different types of biomass (mainly from soft and hard wood). The project is based on a fractionation method, a so-called lignin first organosolv process, for isolating lignin, cellulose and hemicellulose. Through this method, as much as possible of the lignin’s natural properties is preserved, which provides opportunities to develop new advanced materials and an increased chance to replace fossil-based components in existing materials. The lignin polymer may need to be modified in further steps to adapt to the application. We see a very broad area of ​​use where lignin-based materials can contribute to the environmental transition and add value in several industries such as the mining industry, the battery industry, the construction industry, the pharmaceutical industry and more. To take advantage of the entire process, the hemicellulose and cellulose fractions must also be taken into account.

This project is part of ERC Consolidator Grant MAGNETO that aims to develop a novel diagnostic and therapeutic platform to treat inflammatory bowel disease (IBD) in children. The inflammation of gut tissue in IBD patients results in the overexpression of specific biomarkers. In this project we will quantify the global proteome in biopsy samples from IBD patients through our clinical collaborators at Uppsala University Hospital. Biobanking (intestinal biopsies, serum and feces) is currently ongoing. The main task of the researcher will be to analyze these in vivo samples using multi-omics technologies. The biomarkers identified in this project will be used as targets for oral delivery of nanoparticles for the non-invasive diagnosis of IBD using magnetic imaging techniques such as magnetic resonance imaging (MRI) and magnetic particle imaging (MPI). Comparison of biomarkers found in experimental disease models (Asad et al., 2021) and human biopsies will further support clinical translation of the nanoengineered theranostic platform.

With the advancements in 5G and preliminary studies on 6G wireless communications, the convergence of distributed machine learning and privacy emerges as a pivotal arena with diverse applications, including transportation, smart cities, and network infrastructures. As devices exchange machine learning models with neighboring devices and the network infrastructure, it becomes essential to ensure the secure and private transmission of data while harnessing the advantages offered by distributed machine learning algorithms. This research domain not only seeks to optimize the efficiency and performance of wireless communication systems but also aims at establishing stringent privacy and security safeguards. 

This postdoctoral project brings together human-robot interaction with interactive and interpretable/explainable machine learning in the context of participatory automation – that is developing robots which can be “taught” by a diverse range of users. This approach aims to create contextually, socially appropriate machine behaviour whilst also delivering on EU Ethics Guidelines for Trustworthy AI.

Are you interested in working with machine learning and distributed algorithms, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favourable working conditions? We welcome you to apply for a postdoctoral position at Uppsala University.

We are currently looking for a postdoc to work with a European project in accelerator development for a large-scale neutrino physics project, the ESS neutrino Super-Beam (ESSnuSB). It is based on the use of the particle accelerator facility for the European Spallation Source (ESS), currently being built in Lund, Sweden. The main objective of the ESSnuSB project is to measure charge-parity violation in leptons by studying the asymmetry in neutrino oscillations between matter and anti-matter. To achieve this, we need to expand the accelerator complex at ESS by adding an accumulator ring, where the pulses from the ESS linac are compressed. The compressed pulses will be sent to a target where the neutrino super-beam is formed. The neutrino oscillation parameters will be studied in a large detector, located about 360 km from the source. In addition, we are working on yet another addition: a nuSTORM facility (neutrinos from stored muons), which includes a muon storage ring that would be used for generating a neutrino beam for neutrino cross section measurements. The successful candidate will be involved in the work with designing and evaluating the muon storage ring as well as with other aspects of the ESSnuSB accelerator complex.

 The research engineer will work in the project “Sustainable IoT through co-design with organic batteries” funded by the Swedish Governmental Agency for Innovation Systems (Vinnova). A team of communication and battery experts from Ericsson Research and Uppsala University designs hardware and communication protocols that manage the interaction between the dynamics of the (organic) battery chemistry and the dynamics of the IoT device’s energy consumption. A key resource will be our battery testbed, a unique resource for large-scale, application-oriented measurements of battery performance.

We are hiring a postdoctoral researcher for the project” Does biological mosquito control (Bacillus thuringiensis var. israelensi:s: Bti) affect terrestrial food web structure? The aim of the project is to use a food web-based approach to evaluate how species not directly affected by Bti are indirectly affected by Bti-induced changes of abundance in target species. In a 3-4 chain natural ecosystem we will use DNA metabarcoding to obtain information of resource availability of invertebrates and diet of meso- and top predators. Our study system is a wetland area in central Sweden, where Bti has been applied since 2002. The data set collected will be analyzed with advanced multivariate statistics.

The candidate will conduct research in mathematics and/or theoretical physics at the Centre for Geometry and Physics. This centre has a large interface with the group of geometry and physics at the Department of Mathematics and the group of Theoretical Physics of the Department of Physics and Astronomy. Duties include collaboration with the various members of the centre as well as the aforementioned research groups, and the production of research results.

Evolved stars play a crucial role for the cosmic matter cycle and the origin of life. Critical chemical elements, like carbon, are produced inside luminous cool giant stars, transported to the surface by turbulent gas flows, and ejected into interstellar space by massive outflows of gas and dust. The current knowledge of stellar winds is incomplete, and does not allow us to fully understand their effects on the evolution of stars, and how they enrich their surroundings with newly produced elements and cosmic dust. Project EXWINGS (https://www.astro.uu.se/exwings), funded by the European Research Council with an ERC Advanced Grant, aims at a breakthrough in understanding the winds of cool giant and supergiant stars. Recently, we have developed a new type of models: global dynamical star-and-wind-in-a-box simulations, in full 3D geometry. Astronomical instruments with high spatial resolution, which give images and spectra of the stellar atmospheres where the winds originate, allow us to test the new models.