13 Postdoctoral Fellowship at Linkoping University, Sweden

You will develop methods, based on computational geometry, to generate spatial information of nanoparticles on irregular 2D surfaces in 3D space.

One powerful experimental method to qualitatively probe spatial organization of nanoparticles in porous materials is electron tomography, whereby 3-dimensional images (tomograms) can be generated. One of your main goals will be to design methods and tools to provide quantitative information of nanoparticle spatial distributions in these tomograms.

Questions that may be explored during your postdoc include:

• What are efficient machine learning strategies to identify large ensembles of nanoparticles in tomograms (i.e., to identify nanoparticles on irregular 2D surfaces in 3D space)?
• What are appropriate descriptors of spatial distribution in the field of materials science (e.g., Voronoi tessellations, particle-particle distances, etc.)?
• What are appropriate algorithms for efficient quantification of spatial distribution in electron tomograms?

Your research will focus on developing heterogeneous catalysis of vapor phase reactants. The goal is to study vapor phase reactions of high boiling point liquids where the use of vapor phase enables chemistries that are not possible in the liquid phase. The use of vapor phase in heterogeneous catalysis can enable new chemistries because:

• Vapor-phase processing increases reactant diffusion rates by several orders of magnitude compared to liquid-phase.
• Concentrations of reactants in the gas / vapor phase are not limited by solubility in liquid as is the case for example with H₂ in aqueous phase during hydrogenation reactions.

Questions that may be explored during your postdoc include:

• How do reaction mechanisms differ in vapor phase compared to liquid phase?
• Can we design a reactor set-up that enables high-throughput vapor-phase processing of high boiling point liquids?
• Will vapor pressures of reactants and products be sufficient to allow vapor-phase processing?
• Will thermal stabilities of reactants and products be sufficient to allow vapor-phase processing at temperatures that allow reaction to take place?

Our current research projects focus on distributed radar sensing, hardware-efficient signal processing, robustness and resilience, and communication-efficient decentralized machine learning. Applications are within 6G mobile access, distributed intelligence and computing, and drone swarms.

As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20% of working hours.

As Postdoctoral researcher, your responsibilities will be conducting cutting edge research through:

• Conducting independent research
• Leading a clinical trial
• Design, acquisition, and analysis of data from psychophysical experiments on touch and pain
• Design, acquisition, and analysis of data from cognitive measures
• Design, acquisition and analysis of data from single-unit afferent recordings using microneurography
• Publication and dissemination of findings

You will work on epidemiological studies related to the development of immune-mediated diseases, primarily Type 1 diabetes.

As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20% of working hours.

The primary focus of the postdoc positions is research in machine learning with applications in science. The aim is to develop novel machine learning and other data driven AI methods for scaling up and improving scientific processes beyond what humans can do, for further developing the underlying scientific understanding, and for facilitating groundbreaking new scientific discoveries. The position will be in close cooperation with researchers from other disciplines, especially material science.

There will be good opportunities to influence the direction of the research. We are always open for suggestions of new important and interesting research directions.

As a postdoctoral fellow, your main task will be to conduct cutting edge computational social science research. The research will be carried out within the context of the Swedish Excellence Centre for Computational Social Science (SweCSS), which is a joint initiative between the Institute for Analytical Sociology (IAS) and the Department of Computer Science (IDA).

SweCSS researchers combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing, and agent-based modelling have paved the way for innovative collaborations between social scientists and computer scientists that jointly seek to answer fundamental questions of the social sciences and humanities in new and rigorous ways.

As a postdoctoral fellow, your main task will be to conduct cutting edge computational social science research. The research will be carried out within the context of the Swedish Excellence Center for Computational Social Science (SweCSS), which is a joint initiative between the Institute for Analytical Sociology (IAS) and the Department of Computer Science (IDA).

SweCSS researchers combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing, and agent-based modelling have paved the way for innovative collaborations between social scientists and computer scientists that jointly seek to answer fundamental questions of the social sciences and humanities in new and rigorous ways.

Your work will try to understand how cell communication pathways – with focus on Wnt signaling – drive gene expression in a cell type specific manner in both homeostasis and disease, in particular cancer. You address this question using both different in vitro models, with the focus on embryonic stem cells and intestinal (cancer) organoids, and with tissue biopsies from the clinic. You will profile the genome-wide binding of transcription factors and perform transcriptomics to experimentally address this outstanding question in the Wnt field.

You will work on a project aimed at understanding endogenous regulation of ion channels and electrical excitability, and how this is impacted in disease and by pharmaceutical compounds. You will participate in studies of the effect on compounds on voltage-gated ion channels and cellular excitability, to contribute insights into physiological, pathological and pharmaceutical effects. In terms of experimental approaches, you will primarily use molecular biology techniques as well as electrophysiological techniques in cellular systems (like oocytes from Xenopus oocytes and mammalian cells). You will also implement techniques for recapitulating beta adrenerg stimulation in experimental models and for monitoring trafficking of ion channels.  You will study both healthy wild type channels and ion channels carrying disease-associated mutations.