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The aim of the PhD project is to develop novel control methods for nonlinear dynamical systems. The developed methods will be based on combining the flatness-based feedforward control with the ideas from event-based control approach. There are different theoretical and practical aspects that the PhD candidate can study within the project.

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The main objective of the position is to research incorporating data analytic capabilities into the blockchain systems for digital forensics readiness. The candidate will also take a key role in the development of an innovative blockchain-based application in an interdisciplinary team.

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The PhD project aims at novel solutions for cross-layer reliability and self-health awareness for tomorrow’s intelligent autonomous systems and IoT edge devices. The enormous complexity of today’s advanced cyber-physical systems and systems of systems is multiplied by their heterogeneity and the emerging computing architectures employing AI-based autonomy. The researcher will study the dominant hardware reliability concerns, such as radiation-induced soft errors and nanoelectronics ageing specific to AI/ML hardware, processor architectures, such as RISC-V, and advanced FPGA SoCs.

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TalTech’s School of Business and Governance offers ambitious individuals the opportunity to join its PhD programme BEG, which stands for the three specializations Business, Economics and Governance (BEG) as a doctoral student. The prospective PhD students are requested to propose their own specific research projects that will also support the development of the prioritized research fields of the School of Business and Governance. The PhD project should focus on scholarly research that contributes to the School’s position as a leading Business School in the region and beyond.

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The proposed PhD thesis focuses on the study and development of titanium carbide (TiC) based ceramic-metal composites bonded with Fe-alloys thought for various wear and corrosive conditions. The work assumes both theoretical (phase modelling, etc.), as well as practical (synthesis of materials, characterisation, wear testing, etc.) tasks. The project addresses the following research questions: (1) what are the most promising chemical combinations of the binder phase of TiC-based cermets to ensure the wear and corrosive resistance and (2) to improve the understanding of the role of additional strong carbide forming elements on the microstructure formation of TiC-based cermets.

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This PhD project is aiming at exploring the properties of novel PV absorbers that are suitable for space applications and can be used in microcrystalline solar cell. We are aiming the materials that can be harvest from the lunar regolith or mars regolith. Materials that will be selected have to fulfil the criteria set for the solar cell absorber material and according to the theoretical calculations should enable to achieve high solar energy conversion efficiencies and can be produce in situ from the source of planetary/moon regolith. In the frame of this PhD project, FeS2, Si single crystals and polycrystalline powders will be synthesized at high temperatures enabling detailed analysis of the properties of high quality material compared to thin films deposited at low temperatures. Also thin film NiO deposition will be studied with wet chemical methods. Detailed characterization of the structural, optical and electrical properties of these materials will be conducted.

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In this position you need to develop a numerical approach for coupled ice-structure interaction assessment for ship and offshore structures.

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The Ordovician Period was characterised globally by a cooling climate and a significant diversification of life, punctuated by the end-Ordovician mass extinction. This project aims to document and understand how the biodiversity dynamics in different ecospaces and taxonomic groups are linked to climate trends and fluctuations on the Baltica palaeocontinent. Four model groups of organisms will be targeted: planktonic chitinozoans, nektonic conodonts, benthic epifaunal ostracods and benthic infaunal jawed polychaetes. An integrated palaeontological database will be created and used to quantitatively analyse the distribution of faunas in time and space, distinguishing climatic effects from evolutionary and paleobiogeographic factors.

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In this position you need to develop user defined subroutines in Abaqus software to be used in finite element simulations of metal and ice fracture in ultimate & accidental limit state analysis of marine structures.

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Offshore wind farms radiate underwater sound into the marine environment. Marine life can perceive and be disturbed by the underwater anthropogenic noise and water particle vibration. To understanding the impact of wind turbine noises on marine life the sound pressure field as well as the particle motion field of the wind generator should be measured and analyzed. Establishing relationship between these two fields is the key question to predict particle motion values of the various sources of anthropogenic noise. This study is carried out jointly with the marine biologists from University of Tartu.

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Conodonts are extinct marine chordates that diversified during the Ordovician. Their fossil teeth, composed of bioapatite, constitute a unique archive of deep-time environments and climates. This project is focused on reconstructing Ordovician paleotemperature history within the Baltoscandian Palaeobasin using stable oxygen isotope records from conodont apatite. It involves the geochemical characterisation of conodonts and the application of in situ analytical techniques, notably SIMS. Combined with a taxonomic approach and improved palaeontological databases, the project aims to identify the transition from a greenhouse to an icehouse climate system and provide insights into its effects on conodont faunas in Baltica and worldwide.

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The candidate of this position will investigate a well-known NP-hard problem, i.e. the multi-agent planning, scheduling and coordination problem. The practical application is in the field of intelligent transportation systems, as future autonomous vehicles will communicate and coordinate with each other to increase the efficiency of the entire transportation system. The work involves writing algorithms and using artificial intelligence methods to find numerical solutions that apply to real-world systems. The research group has experimental self-driving shuttles and pilot studies on the road that will serve as an experimental platform.

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Current efforts in non-destructive evaluation research are focusing on the development of more quantitative inspection methods and exploitation of automation to eliminate time-consuming inspection methods and procedures. Ultrasonic guided wave tomography (GWT) and reverse time migration (RTM) have become innovative techniques to quantify material changes in thin-walled structures such as corrosion in metallic pipes.

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The purpose of this research is to investigate the opportunities and challenges for improving the resilience and sustainability of the built environment through post-conflict reconstruction and to develop theory as well as corresponding practical processes, decision tools and policy guidance. The research will address the following research questions: What is the state of the art in relation to post-conflict reconstruction and its resilience and sustainability aspects? To what extent do current reconstruction practices take resilience and sustainability into account? How can concepts such as Circular Economy and Build Back Better be effectively incorporated into post-conflict reconstruction? What are the process and policy implications for resilient and sustainable reconstruction in post-conflict contexts?

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The goal of the project is to improve the utilisation of energy flexibility in nZED to increase the integration level of RES. A novel Multi-task learning system, through a cosimulation platform will allow accurate characterisation and forecast of flexibility in nearly zero energy district.

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In heart muscle cells, energy used by most of the processes in the muscle cells is supplied in the form of ATP by mitochondria. Within this project, you would be designing state-of-the-art mathematical models to unravel mechanisms regulating ATP production in mitochondria, selection of energy transfer pathways between mitochondria and ATP consumers, as well as working on mechanistic models of chemical energy conversion into mechanical work by actomyosin. As you will be working in an interdisciplinary laboratory you will have access to the experimental data measured on-site and will be given the opportunity to design and participate in the experimental work to support your research.

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A research team working on industrial strategy and competitiveness using innovative data analytical methods and tools is looking for a PhD candidate interested in economic complexity and global value chains. The PhD candidate would join the two on-going international projects, carried out in co-operation with outstanding research partners.

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