Below is a list of potential hosts interested in hosting a MSCA-PF applicant. Please contact suitable hosts directly to discuss the Master Class application and the suggested topics/projects.
This page is continuously updated .
Professor Are Raklev
Potential Project(s): Fast evaluation of cross section calculation
We want to use machine learning regression techniques to speed up the evaluation of computationally expensive higher-order cross section calculations for the LHC by training on pre-generated samples. This work will involve both advanced machine learning applications and a good understanding of higher order QCD calculations including resummation.
Keywords: High-Energy Physics; Collider phenomenology; Supersymmetry; Dark Matter; Machine Learning
Associate Professor Alexander H. Sandtorv
Potential Project(s): Our group is currently focused on synthetic methodology development for hydantoins. We design, evaluate and prepare interesting and important novel hydantoin structures. Two areas of application are antibiotics and cancer treatment.
A potential fellow in our group would work in this area, and in potential interdisciplinary collaboration with other groups working in pharmacy, medicine, modelling and others.
Keywords: Organic chemistry; Organic synthesis; Catalysis; Natural product synthesis; Medicinal chemistry; Antibiotics; Cancer
Associate Professor Marianne Zeyringer
Department of Technology Systems, Section for Energy Systems
Keywords: Energy Systems; Modelling; Renewable Energy; Solar; Wind; GIS; spatio-temporal, social acceptance; storage; cost uncertainty; energy access;
Potential Project(s): A drastic reduction in carbon emission is required so as to reach the Paris agreement, i.e. limiting global temperature rise this century well below 2 degrees Celsius above pre-industrial levels. To do so, the large scale deployment of variable renewable energy technologies (VREs) like wind and solar represents a cost-effective option. However, renewable energy systems are characterised by the spatial and temporal variability of supply. Options to manage this intermittency include spatial and technological diversification, flexible generation, demand side response and energy storage.
Please have a look at my publications. I have experience and large international network around modelling of renewable focused energy systems am I am interested in discussing proposals related to Renewable Energy Systems. The topic (as well as geographical focus) should reflect the experience and research interest of the applicant.
Associate Professor Cecilie Morland and Professor Ragnhild Paulsen
School of Pharmacy, Neurobiology & Toxicology group
Keywords: Neuroscience; neurobiology; pharmacology; neurodevelopment; ageing; stroke; diseases; drug toxicity; brain; animal models; behavior; pollutants;
Potential Project(s): Our group studies mechanisms for diseases and drug toxicity in the brain, with the aim to identify protective mechanisms. We use animal models (rodents and chicken embryos) to mimic human disease and/or the use of medications. We investigate behavioral and biochemical effects of diseases, drugs, pollutants, and exercise, combined with histological examinations at the light, confocal or electron microscopic level. We also use primary cell cultures and established cell lines as experimental models for mechanistic studies.
We welcome fellows who would like to work in this area, and who can bring in new approaches or methodologies.
Professor Trond Vidar Hansen
School of Pharmacy, Section for Pharmaceutical Chemistry
Keywords: Medicinal chemistry; organic chemistry; biomedicine; resolution biology; inflammation and its resolution; drug discovery; lipid chemistry;
Potential Project(s): Recent years have seen an increase in our understanding of processes that control inflammation. This has led to the conclusion that under ideal circumstances the body is able to terminate inflammation and repair damaged tissue even before an overt inflammatory process is established. Studies pioneered recently, and in particular led by professor Charles N. Serhan at Harvard Medical School, have elucidated biochemical, cellular and chemical mechanisms by which the body is able to regulate these processes. These include identification of a novel group of molecules produced from essential omega-3 polyunsaturated fatty acids (PUFAs) that promote the termination of inflammation via the activation of cognate receptors and reprogramming of the host immune response. Given their potent biological actions, these mediators are termed as Specialized Pro-resolving Mediators (SPM). Studies investigating mechanisms regulating the production of these molecules demonstrate that SPM production is differentially regulated between males and females, and to different inflammatory stimulus. Furthermore, recent findings suggest that the production of these mediators is altered in both human chronic inflammatory conditions as well as in experimental systems fostering great interest for understanding the mechanisms leading to the disruption of these pathways. Hence, research activities in making SPMs and conduct biological studies are of current interest.
We have extensive collaborations with international groups (Harvard Medical School; Perelman Medical School; Queen University of London) and initiated contact with international pharmaceutical companies for collaborations on the biomedical paradigm shift resolution of inflammation based on lipid mediators.
Associate Professor Tuyen Truong
Department of Mathematics
Keywords: Pure mathematics: Complex Analysis; Dynamical Systems and Algebraic Geometry;
Applied mathematics and Deep Learning: Optimisation (Backtracking gradient descent); Applications to Deep Learning;
Project 1 (in Pure Mathematics): Find rational varieties which are quotients of Abelian varieties by finite groups. One part of the method pursued is to use computer algebra to compute exactly singularity multiples of fibres of some fibrations. Broader, the project is to construct interesting birational maps.
Project 2 (in Applied mathematics and Deep Learning): In my joint paper we proved the convergence of backtracking gradient descent for C^1 functions having at most countably many critical points, and showed that this method can be efficiently implemented in Deep Learning with performance on par with state-of-the art algorithms where learning rates must be chosen by hand. The project is to extend these results, both theoretically and practically.
Associate Professor Patrick Riss
Department of Chemistry
Keywords: Radiopharmaceutical Chemistry; Chemical Neuroscience;
Potential Project(s): Our group offers projects in translational brain research. In this context, we develop and apply PET radiotracers for the study of molecular mechanisms leading to brain damage. Key topics for MSCA-IF projects are novel approaches for PET imaging of hypoxia and the balance of DNA repair and cell death in disease.
Associate Professor Marianne Fyhn
Department of Biosciences, Center for Integrative Neuroplasticity
Potential Project(s): The goal of my research is to understand molecular and neural mechanisms of brain plasticity and memory processing. For this we use a multilevel approach combining genetic perturbations with large scale electrophysiological recordings and multiphoton imaging of behaving animals. We have recently focused on a specialized form of extracellular matrix molecules called perineuronal nets (PNN) that seem to be important for regulating adult brain plasticity but prograss in the field has been hampered by lack of specific tools to target the components and regulating elements in vivo. Taking advantage of and developing CRISPR/Cas9 we can now hopefully make manipulate PNNs in a time and resource efficient way to fully understand their role in brain plasticity, neural network function and memory processing.
We also have other lines of research in the group including studies of navigation in the hippocampus and the entorhinal cortex, visual information processing and mechanisms of innate fear behaviors.
At CINPLA, experimentalists work closely together with experts in computational physics to develop theoretical models that can explain the data and make predictions for novel experiments. We have extensive activities in computational neuroscience collaborating with strong international groups. Very few computational models of neuron or neural network function have included plasticy changes caused by PNN regulation. We have started to develop such models taking advantage of our experience from molecular simulations, neuron and network models.
CINPLA consists of five faculty and about 25 research fellows and students, all co-located at the Department of Biosciences. Our goal is to develop an interdisciplinary research and educational environment conducting high forefront research within an open and friendly environment.
Feel free to contact us at any time.
Professor Dirk Linke
Department of Biosciences and Norwegian Center for Molecular Medicine (NCMM)
Keywords: bacterial adhesion; Gram-negative bacteria; adhesins; infection biology; membrane transport; membrane proteins; bacterial toxins; NMR.
Potential Project(s): We work on understanding what makes bacteria stick to different types of inorganic surfaces, extracellular matrix molecules, or biological membranes and would like to develop methods to quantitatively measure bacterial adhesion. We invite interested candidates with interdisciplinary backgrounds to discuss project plans for (a) lab-on-a-chip-based approaches, or (b) structural biology approaches (including electron microscopy or NMR) related to bacterial adhesion.
Professor Ute Krengel
Department of Chemistry, Section Bio3
Keywords: Structural and cell biology; protein crystallography, enzymes, protein-carbohydrate interactions;
Potential Project(s): Activation mechanism of bacterial toxins and interaction with chaperones
We are interested in understanding the colonization and intoxication mechanisms of bacteria, applying structural biology techniques in concert with function studies. We are looking for a highly motivated candidate, who has experience in at least one of the central structural biology methods: X-ray crystallography, NMR and cryo-EM.
Professor Håvard Kauserud
Department of Biosciences
Keywords: Fungal (molecular) ecology; fungi and global change; fungal biology;
Projects will be designed together with applicants in the field of fungal molecular ecology. Tentative research topics include DNA-based community ecology of fungi and fungal population genetics/genomics. I have previously hosted three MSCA fellows (50% success rate on all applications).
Associate Professor Claudia Cicone
Institute of Theoretical Astrophysics (ITA)
Keywords: Galaxy formation and evolution; interstellar medium; circumgalactic medium; galactic outflows; ultra luminous infrared galaxies ((U)LIRGs); high redshift Universe; feedback mechanisms; active galactic nuclei; galaxy mergers and interactions; galaxy surveys; optical and infrared spectroscopy; millimetre/radio observations; (sub-)millimetre interferometry; multi-object spectroscopy (MOS);
Potential Project(s): I am available to host MSCA-IF projects spanning a broad range of topics relevant to the field of galaxy formation and evolution. In the following, I list a few possible projects relevant to my current research area, but I would be happy to host also candidates with complementary expertise on different observational techniques and research interests.
1. Galactic outflows and feedback mechanisms
The energy and momentum injected in the surrounding medium by star formation and active galactic nuclei (AGN) generate multiphase galaxy-scale outflows that can heavily alter the physical, chemical, and kinematical conditions of gas within galaxies, thereby exerting a negative feedback on star formation and galaxy growth. A large number of phenomena observed in galaxies would be difficult to reconcile with theoretical models without invoking feedback processes. For example, stellar feedback may be the main cause of the low efficiency of star formation in low-mass galaxies. The ejective feedback from AGNs is instead often invoked to explain the rapid shut-off of star formation in massive galaxies. Feedback in the form of outflows may also explain the lower gas-phase metal content of dwarf galaxies, as well as the early enrichment of the circumgalactic medium (CGM) with metals and high-density clumps. Progress in this field can be achieved through multi-wavelength observations of local and high redshift galaxies, aimed at constraining the occurrence and physical properties (including the chemistry and excitation of the outflowing medium) of outflows as a function of galaxy properties such as stellar mass, star formation rate (SFR), AGN activity, and redshift. To this scope, the candidate may propose and use dedicated observations with ground-based and space observatories, or exploit public data archives.
2. The cold interstellar medium and scaling relations
The cold neutral and molecular medium provides the raw fuel for star formation. Combining multi-wavelength (X-ray, optical, IR, mm/sub-mm, radio) data allows to study how the cold gas content relates to other galaxy properties such as stellar mass, star formation rate (SFR), AGN luminosity. Large statistical studies of this kind enable the discovery and modelling of fundamental scaling relations such as the famous Schmidt-Kennicutt law, which are extensively used in cosmological simulations of galaxy formation and evolution. Nevertheless, despite being widely adopted by theoretical models, molecular gas scaling relations have so far been tested observationally only in a relatively narrow dynamic range of galaxy properties, mostly on local, gas-rich, metal-rich massive star forming galaxies. It is therefore crucial to test molecular scaling relations over a wide range of galaxy properties and redshifts, through a systematic investigation of the multi-phase interstellar medium (ISM) in large statistical samples and possibly combining the information from multiple gas and SFR tracers.
3. ULIRGs, galaxy mergers, and tidal tails
Galaxy mergers are at the basis of our hierarchical model of galaxy formation and evolution. They can be responsible for severe galaxy transformations, either directly - through gravity and tidal forces - or indirectly - by activating starbursts and AGNs, hence prompting their respective feedback. In particular, galaxy mergers re-distribute material within galaxies, on the one hand by inducing nuclear inflows of gas that can trigger nuclear activity, and on the other hand by producing off-nuclear gas reservoirs through outflows and tidal tails. In the local Universe, ultra-luminous infrared galaxies (ULIRGs), defined by their elevated IR luminosity, can be identified with gas-rich major mergers. Since their discovery, the extremely bright CO line emission in ULIRGs has allowed detailed studies of their molecular ISM. However, previous observations of ULIRGs have focused mostly on their nuclear regions, and little is known about the properties of tidal tails, which can be very rich in dust and gas and so can represent a massive component of the circumgalactic medium. This project will make use of multi-wavelength observations of galaxy mergers to investigate the properties of their large-scale gas reservoirs.
Researcher David Balcells
Hylleraas Center of Excellence for Quantum Molecular Sciences, Department of Chemistry
Keywords: Catalysis; Reaction Mechanisms; Computational Chemistry; DFT; Machine Learning; Deep Neural Networks; Metal Organic Frameworks; Water Oxidation; Carbon Dioxide Reduction; Microkinetic Modeling;
Potential Project(s): We will aim at developing a new protocol for catalyst discovery, based on a hybrid approach combining computational chemistry with machine learning. Computational chemistry will be used to explore the catalytic cycle, identifying the key step of the mechanism. The energy barrier of this step will be the target to learn with deep neural networks (DNNs). These models will be trained and tested with (X, y) pairs extracted from large chemical spaces containing all possible catalysts for a given reaction. Both X (atomic properties used as features) and y (energy barriers) will be computed at the DFT level. The resulting DNNs will be used to discover new catalysts by making predictions over larger and different chemical spaces. This approach will involve the development of the following methods: 1) DNNs for the prediction of transition state metrics; 2) Auto-correlation functions for featurization based on natural bond orbital theory; 3) Metal-centered graphical convolutions for abstract and learnable representations. These tools will be exploited in one-shot learning classifiers (small data scenarios) and accurate regression models (large data scenarios), which will be used to discover new catalysts for water oxidation and carbon dioxide reduction. The project will be strongly interdisciplinary, involving national and international collaborations between chemists and computer scientists.
Researcher Ainara Nova
Hylleraas Center of Excellence for Quantum Molecular Sciences, Department of Chemistry
Keywords: Computational chemistry; reaction mechanisms; homogeneous catalysis; CO2 Conversion; hydrogen-transfer reactions; MOF-supported catalysis; microkinetic modelling;
The main challenges of the 21st century include the depletion of fossil fuels, which continue to be the main source of energy and chemicals, and the increasing accumulation of CO2 in the atmosphere, which remains as the main cause of global warming. In this project, computational modelling will be used to develop new homogeneous and heterogeneous catalysts for the selective capture and hydrogenation of CO2 to methanol. In the homogeneous approach, microkinetic models and machine learning algorithms will be used to develop new organometallic catalysts. In the heterogeneous approach, the integration of the homogeneous systems as single-site catalysts into metal organic frameworks will be tackled by means of periodic-DFT calculations and molecular dynamics simulations. This project will be performed in collaboration with national and international experimental groups.
Researcher Joël Durant
Department of Biosciences, Centre for Ecological and Evolutionary Synthesis, Marine Group
Keywords: Food web dynamics; climate change ecology; Climate effects; Ecology; Ecophysiology; Fish; Food webs; Marine ecology; Ornithology; Population ecology; Seabirds; Phenology; Russia; USA; South Africa; Nordic;
The focus of my work is the influence of environmental variability on trophic interactions. I am particularly interested in the relationship between food abundance, time synchrony and reproductive success. I specialize in top predators in marine systems (mainly seabirds and fish) but my studies range from seabirds to plankton. Lately, most of my work is turning around the commercial fish stocks of the Barents Sea and the relation with their prey and predators.
In the recent decades, several studies reveal the increasing effort to incorporate spatial heterogeneity and demographic connectivity into population dynamics models of commercial fisheries. However, spatial structure is rarely and holistically evaluated across the entire assessment-management interface. This is mainly because the spatial scale of stock assessment models is often limited to the available data, which had typically been reported at broad-scale management units. This is why achieving the desired objectives for regional and small-scale fishery regulations is hampered by using outcomes of stock assessments that do not match the desired spatiotemporal scale. To provide a considerable step forward and respond to this challenge we will implement the spatial heterogeneity at 2 levels: Population structure, and Indicators of demographic and ecological processes spatially structured.
Professor Michael Welzl
Networks and Distributed Systems group, DIAS section, Informatics Department
Keywords: Congestion Control; Natural Language Processing;
Congestion control: we are working towards a solution for better congestion control, with impact on load-based routing and QoS, in (but not necessarily limited to) the framework of the RINA network architecture. The idea is to create the "perfect" congestion control solution by not requiring compatibility with the Internet, and use gateways for deployment. For work done in this direction so far, see: https://www.mn.uio.no/ifi/english/research/projects/ocarina/index.html
Natural Language Processing: this project is about applying NLP to the IETF - to read specifications (RFCs), understand what happens in mailing list debates or at meetings (from meeting minutes), etc. Endless possibilities! E.g., we can try to better understand reasons behind protocol design decisions from applying NLP to the mailing list archive - which becomes valuable input for computer networks education.
Professor Josef Noll
Department of Technology Systems, Centre for Global Health, Signatory Leader: Digital Health
Keywords: Digital inclusion; Internet; Internet Lite; Societal Empowerment; B5G; 6G; 6GforAll;
#Village information server for Digital Inclusion
The Basic Internet Foundation has established village information spots focussing on Digital Health. Though, a more generic approach is needed addressing a) user involvement (how can users contribute) b) village content (new ways of interaction) and c) education and health services. The thesis will evaluate methods for user involvement and user empowerment through interaction with a village platform, look into novel entrepreneurial opportunities, and prototype a concept. Novel Web standards for light-weight implementations, such as Google AMP, web light and others shall be evaluated.
#Content Delivery Networks for InfoInternet Deployments
The InfoInternet is a special kind of network infrastructure deployment, with special restrictions like bandwidth or bad connectivity. Developing CDN solutions for such a restricted network would prove very useful from the point of view of the costs and of the usability for the users. Examples of applications are to education, where a local server can deliver content stored locally, as soon as one of the users already retrieved this from the Internet. Peer-to-peer connectivity is another example useful to education. A first milestone can be to interact with Wisam on a simple form of local content/application, working on the back-end side of the EntrepNet platform.
#Network-aware traffic shaping
Future Networks need to be application aware in order to provide an appropriate Quality of Service. As an example, 5G networks will start in cities with high-traffic, but people will use the 5G applications also in areas where mobile networks are weak. Given a traffic jam somewhere out in the forest, currently all traffic tries to achieve maximum throughput, without any form of prioritisation. This thesis will analyse the traffic requirements of mobile applications (apps), will create a database containing the traffic characteristics, e.g. port number, encryption, url-specific content, communication protocol. Based on the analysis, the thesis will suggest a method for prioritisation of traffic types, depending on the network characteristics, e.g. throughput.
#Remote Configuration of Infrastructure
Investigation on how to remotely configure equipment. In areas with underdeveloped mobile access, we often face unreliable networks and high costs for the access. By deploying information spots in rural areas with preinstalled broad-band content, like the bandwidth-intensive parts of Digital Public Goods (DPGs). The challenge to be addressed is how remote configuration and update of village information spots containing theses DPGs.
#5G Network Slicing for Free Access to Information
In Mobile Communications, 5G Research is focussing on (a) massive mobile broadband, (b) billions of sensors connected to the network, and (c) ultra-reliable and low-latency networks. A promising technology for addressing these issues is ''network slicing''. This thesis will look into network slicing for free access to information, and thus address the challenges of sustainable development. The free access to information (''InfoInternet'') is answering the needs of digital inclusion, and addresses the needs of 4 billion people currently not using the Internet.
InfoInternet means free access to information for all, and addresses directly the SDG goal 9.c of the Agenda 2030. InfoInternet is further the basis ans the catalyst for SDG 3 (health), 4 (education), 5 (gender equality), 8 (decent work), 10 (reduced inequalities), 11 (sustainable cities and communities) and 17 (partnership for the goals). The envisaged Thesis will elaborate on the network slicing for InfoInternet, and evaluates the technological and societal aspects.
#Open Source modular Village Information Spot
The Basic Internet Foundation has established village information spots focussing on ''Digital Health''. Though, a more generic approach is needed addressing a) user involvement (how can users contribute) b) village content (new ways of interaction) and c) education and health services. The work will evaluate methods for user involvement and user empowerment through interaction with a village platform, look into novel entrepreneurial opportunities, and prototype a concept. Novel Web standards for light-weight implementations, such as Google AMP, web light and others shall be evaluated.
#The Freemium model for Access: Internet Lite
Internet lite is the terminology used to address the free access to information for all. The role of digital technology in achieving the Sustainable Development Goals (SDGs) is well-established and integrated into the Agenda 2030.
Digital access is the key to digital development – a global public good which can act as a catalyst towards achieving sustainability, participation and inclusive development. Digitalisation is intrinsic to achieving good health (SDG 3), good education (SDG 4), equality and empowerment (SDGs 5 and 10), decent work and economic growth (SDG 8), partnership (SDG 17), all driven by SDG 9 – industrial innovation and infrastructure. Internet lite establishes the freemium (free & premium) model for digital access. Free access to information, being text, pictures and local video, and premium access to broadband content such as video and games. The concept was established by the Basic Internet Foundation in order to enable digital inclusion in developing economies.
Though the concept focussed primarily on developing economies, it is of imminent importance for individuals, companies and societies at large. The freemium access to the Internet empowers everyone. Digital empowerment for all will create the necessary basis for industrial uptake, equipping individuals and communities with life and coping skills. The widening digital divide between urban and rural, and between people with or without digital access prevents people from achieving full access to health, education and decent work.
The Internet lite concept is supported by the InfoInternet standard.
#Access to Digital Public Goods
Based on the Report of the High-Level Panel on Digital Cooperation, " The Age of Digital Interdependence ", https://digitalcooperation.org, UNICEF has taken the lead to support the recommendations 1A and 1B:
1A: We recommend that by 2030, every adult should have affordable access to digital networks, as well as digitally-enabled financial and health services, as a means to make a substantial contribution to achieving the SDGs…
1B: We recommend that a broad, multi-stakeholder alliance, involving the UN, create a platform for sharing digital public goods, ….
The Basic Internet Foundation is mentioned in the report: "One example of building internet access around community needs, in this case health, is a collaboration between the Basic Internet Foundation and health centres in Tanzania; see Vision 2030, available at https://www.vision2030.no/index.php/en/visjon2030-projects/non-discriminating-access-for-digital-inclusion.
Having suggest the combination of 1A and 1B as "free access to digital public goods", work is ongoing to define both the network architecture and sustainable business models supporting this claim. The suggested work will focus on how to endorse Digital Inclusion through the free access to DPGs and the combined implementation of 1A and 1B.
Associate Professor Jonas Paulsen
Department of Biosciences, Section for Genetics and Evolutionary Biology
Keywords: Bioinformatics; 3D genome; epigenetics; computational modeling; simulation; Hi-C; genome assembly;
Our group develops bioinformatics tools to deepen our understanding of the genome. Recently, we have published several computational tools to reconstruct the three-dimensional (3D) organization of all the chromosomes in the nucleus. These models can be used to understand how the positioning of the genes relates to their regulation in healthy and pathological states.
We host bioinformatics projects spanning a broad range of topics. Projects can be adapted to the the applicant's interests. Possible projects include:
1. Further developing our existing 3D genome modeling tools, including the incorporation of new constraints in the nucleus.
2. Developing new models for simulating enhancer-promoter interactions and gene expression regulation.
3. Developing new tools/methods for genome assembly using Hi-C data.
4. Developing new tools (or models) for understanding the evolutionary basis of 3D genome organization.
We are looking for highly motivated candidates with experience in programming (Python and/or C++) as well as a strong drive for interdisciplinary science.
Professor Torsten Bringmann
Department of Physics
Keywords: Dark matter; Cosmology; (Astro-)particle physics; Physics beyond the standard model;
Projects very broadly related to the field of dark matter research will be designed together with the applicant(s). Possible directions include production mechanisms in the early universe, indirect or direct detection methods of dark matter, astrophysical probes using observables connected to structure formation or gravity waves, as well as the design of new search strategies. Active involvement in the development of DarkSUSY or GAMBIT can be included in the project.
Researcher Øystein Langangen
Department of Biosciences, Section for Aquatic biology and toxicology (AQUA)
Keywords: Quantitative marine ecology; oceanography; trophic interactions;
Understanding how species interact at different scales is imminently needed to fully understand how ecosystems structure and function. Moreover, such understanding is essential to answer the questions: How will biological systems respond to climate change? and How can we move towards an ecosystem approach to management of living resources? Currently, methods to quantify species interactions at local scale in systems dominated by ocean currents are limited due to weak links between ocean models and data. At the same time, ecosystem models at basin scales are often very parameter rich, which may lead to unacceptably high parameter uncertainties. I propose to develop and apply a novel methodology to quantify species interactions at local scale in ocean environments structured by currents. Interactions may be empirically quantified by combining advanced coupled physical-biological individual based drift models with long term survey and monitoring data using a state-space statistical approach.
Moreover, I suggest to develop empirically based ecosystem models of intermediate complexity to scale up the local scale interactions to population, community and ecosystem level. I key development would be novel models of suitable complexity that are allow for empirically estimation of interactions as functions of biotic and abiotic environmental factors, changing with ontogeny, and importantly with quantified uncertainty.
Professor David F. Mota
Institute of Theoretical Astrophysics
Keywords: Astrophysics; Cosmology; Gravitational Waves;
Unveiling the nature of gravity at cluster scales
The main objective of this proposal is to shed light into the question: Could the acceleration of the Universe be a sign of the break down of General Relativity at large scales?
In order to achieve such objective we aim to confront predictions from theoretical models of alternative gravity theories against astronomical data from several present and near future galaxy surveys and black hole merger observations.
The project consists in investigating the non nonlinear regime of structure formation within the framework of dark energy, dark matter and modified gravity theories using numerical simulations. In particular, it includes designing, performing and analysing simulations to confront with multi-wavelength observations of galaxies and clusters, and to investigate the degeneracies between small scale baryonic physics and models of dark energy, dark matter and modified gravity.
Researcher Sundy Maurice
Department of Biosciences
Keywords: Population genetics; wood decay fungi ; fungicolous fungi; forest management; community ecology ; Funga traits; DNA metabarcoding; genome sequencing.
To which extent can wood-decomposing fungi have a latent pathogenic activity?
While most Polyporales species colonize deadwood, some occur on healthy trees and a few species like Fomitopsis pinicola and Fomes fomentarius prevail on both. Based on fungal metabarcoding studies in recently fallen trees across Fennoscandia, we have evidence that saprotrophs described as late colonisers are able to establish early, most probably in living trees but have a time delay in fruiting. To investigate whether polypore fungi are able to hijack the plant´s defense and infect the tree prior to death, we hypothesize that several pathogenicity-related gene families are expressed and expanded in polypores that colonise living trees, including genes involved in invading the plant immune system, small secreted proteins and cellular detoxification. Besides, we expect also differences in primary metabolite pathways e.g. energy production and conversion genes involved in oxidative phosphorylation pathway but also in secondary oxidative stress during fungal-plant interactions. To reply to this specific question, we will include more genomes (Agaricomycetes) with known pathogenic activities, apply a comparative genomics approach and perform some experiments to test for C-sources. The Marie Curie fellow will be part of my current project on wood decomposition by fungi (POLOMICS).
Postdoctoral Fellow Mohammad Nooraiepour and Professor Helge Hellevang
Department of Geosciences, CO2 storage research group.
Keywords: Reactive transport; Fluid flow; Porous media; Dissolution and precipitation; CO2 and H2 storage; X-ray imaging (micro-CT and Synchrotron); Petrophysics; Geochemistry; Fluid-rock interactions.
Subsurface fluid flow is central to several pressing environmental and societal challenges, including the geological storage of carbon dioxide (CO2) and hydrogen (H2), geoenergy resources, and containment of contaminations. Reactive transport processes, particularly precipitation and dissolution, can pose substantial threats to the success and efficiency of subsurface operations in terms of injectivity issues or containment risks. Deciphering small-scale physics and dynamics forms the basis for constructing macro-scale predictive tools to determine changes in transport properties and the fate of injectivity and containment parameters over extended length and time scales. Although continuum mechanics describes macroscopic fluid flow, high-resolution spatiotemporal microscopic insights are essential to improve the predictions on time and location in which reactive transport processes may occur. Mineral dissolution and crystal precipitation events during fluid flow and solute transport in the porous medium can significantly alter pore network morphology, pore occupancy, phase continuity, and consequently porosity-permeability relationship. The dynamic rearrangement of flow pathways leads to variations in the connectivity of the fluid phases, which governs the key characteristics of subsurface multiphase flow, such as energy dissipation during flow and capillary trapping. By understanding the controls on the displacement dynamics within pores, we will link their role to larger scale manifestations of flow, such as relative permeability. This will lead to accurate physics-based modeling of subsurface reactive transport processes. To this aim, we suggest conducting research using state-of-the-art experimental and numerical tools to decipher underlying physics, governing mechanisms, and influencing factors. HPHT microfluidic setups (glass microchips and geomaterial substrates), core-flooding systems, and batch reactors can be utilized for this purpose. We propose Lattice Boltzmann methods (LBM) and reactive Pore Network Modeling (PNM) for numerical modeling. We prioritize conducting research coupled with high-resolution fast synchrotron tomography and realistic pore geometries.
Associate Professor Sabrina Sartori
Department of Technology Systems
Section: Energy systems
Research group: Energy storage systems
Keywords: Materials for energy storage; Hydrogen storage; Batteries; in-situ synchrotron radiation and powder neutron diffraction; renewable energy systems.
Project 1: Affiliated to the EU project AtLAST. The post doc will design hybrid energy storage systems, combining batteries and hydrogen, to fulfil the demands of a telescope in Chile. One of the main challenges is to guarantee short- and long-term energy storage for the telescope, its infrastructure, and a possible surplus supply for the use of nearby communities. Depending on the postdoc background, the project can be either based on modeling, or on materials synthesis and characterisation.
Project 2: Materials synthesis and characterisation for hydrogen storage systems off-grid, for instance located inside a floating wind turbine on the western coast of Norway, or for a telescope in Chile (related to the EU project AtLAST.