Open positions

The main task of the dissertation is to assess the climate change impact on the extreme runoff values (i.e. low/high water periods) in the Baltic Sea region. It will include an assessment of extreme hydrological phenomena in the past, a projection of these phenomena in the future, an assessment of the environmental impact, and recommendations for water management to adapt to climate change.

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Thomas Johann Seebeck Department of Electronics at the School of Information Technologies, Tallinn University of Technology, Estonia, has an opening for a PhD project with the tentative title „Wireless communication and networking of novel Point-of-Care analytical devices“, as part of the PhD programme Information and Communication Technology.

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Thomas Johann Seebeck Department of Electronics at the School of Information Technologies, in collaboration with the Department of Chemistry and Biotechnology at the School of Science, Tallinn University of Technology, Estonia, has an opening for a PhD project with the tentative title „High-speed droplet microfluidic encapsulation and sorting“, as part of the PhD programme Information and Communication Technology.

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Thomas Johann Seebeck Department of Electronics at the School of Information Technologies, Tallinn University of Technology, Estonia, has an opening for a PhD position with the tentative title „Excitation and sensorics for high-speed droplet microfluidics”, as part of the PhD programme Information and Communication Technology.

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The candidate will be part of a team developing advanced bioinspired underwater sensors. The devices use pressure and inertial measurement sensors, and are based on the fish’s sensory system. They are stealthy, passive and can detect and classify complex underwater environments. The focus of this project will be to address two major research questions: (1) How can we use pressure and inertial sensors to study the information content of turbulent flows? (2) How can we use data from fish-like sensors in different types of flows (e.g. laboratory flume vs. river) to predict real fish behaviour? The results of this 3-year PhD thesis are fundamental, and will be important to a broad range of disciplines including fluid mechanics, fish biology, river ecology, and hydropower.

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Intuitionistic linear logic is an important “substructural” formalism in the semantics of programming languages. This PhD project is about the proof theory, semantics and applications of yet weaker logics.

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School of Engineering, Department of Civil Engineering and Architecture, Research Group of Geodesy and Road Engineering offers a 4-year PhD position in Satellite Altimetry.

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Road transport is an integral part of the Estonian transport sector. Throughout Europe, carriage of goods by road forms the largest percentage of cargo transport. In Estonia, the main challenge in planning transport and mobility is organizing more efficient carriage of people and goods in a way that would also be more convenient for users. Incidentally, Estonia’s transport is one of the most polluting ones within the European Union, which is why potential solutions must be found for reducing greenhouse gas emissions. One of the possible solutions is decreasing the proportion of road transport, which has not yet been achieved. Reduction of greenhouse gases is part of the Estonian transport policy, achievable through the intensification and optimization of carriage of goods while integrating multiple modes of transport, in order to find opportunities to reduce fuel consumption and apply the principles of green logistics. As follows from the aforementioned issues, the objective of the doctoral thesis is to find opportunities to integration the freight processes of road transport along with integrating rail, sea, and air transport into the transport system.

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In the context of the Internet of Intelligent Things initiative (IoIT) initiative at the School of Information Technologies at Tallinn University of Technology, Estonia, there is an opening for a PhD project on communication architectures for mobile edge computing (centralized and/or distributed) and integration with 5G and beyond systems.

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The main objective of this Ph. D. project is to recycle spent Li-ion batteries (SLIBs) cathode component and extract various valuable metals (Li, Co, Ni, Mn etc.). As LIBs production keeps increasing, the amount of SLIBs is also growing rapidly. SLIBs are classified as dangerous waste. If they are not properly treated, they will cause damage to the environment and may as well cause harm to animals and human health. Nonetheless, SLIBs have a high economic value, as they contain a significant amount of valuable metals. Therefore, SLIBs recycling could have environmental and economic benefits, but to take the full advantage of the recycling potential, there is a great need for finding new recycling pathways. In this project various metal extraction possibilities will be studied and optimized based on the chemical composition of different SLIBs. The final goal is to develop cost-effective recycling methods for SLIB cathode and re-use extracted metal-oxides for the synthesis of valuable catalyst material for metal-air battery and low-temperature fuel cell applications.

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This PhD project is concentrated on the selection of sustainably produced carbon materials and heteroatom doping process with the goal to synthesize platinum modified carbon nanomaterials with improved electrochemical activity and stability for fuel cell applications.

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The PhD project focuses on NMR studies of chiral hemicucurbiturill and oxacalixarene macrocycles. The undertaken experiments include structure elucidation of new macrocycles, NMR titration experiments to determine binding strengths with guest molecules and variable temperature NMR to derive the macrocycles’ and their „host-guest“ complexes’ thermodynamic and kinetic parameters.

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TalTech School of Science, Department of Geology offers a 4-year PhD position in Earth Sciences

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EU has adopted new climate policy also known as Green Deal. This puts energy production into totally new situation. The current PhD topic will deal with energy security and climate neutrality in new perspectives. To be more precise this research will be based on Carbon Capture and Utilization Technologies - Oxyfuel combustion. Tallinn University of Technology has an exciting research opportunity for a motivated graduate to investigate the oxyfuel CFB combustion of low rank coal - Oil Shale, in O2/CO2 environment rather than air, and the production of a pure stream of CO2 for storage. After defense the applicant will receive PhD position in Mechanical Engineering, with the field of Thermal Power Engineering

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PhD position in Mechanical Engineering, with the field of Thermal Power Engineering

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The aims of the doctoral thesis project are: (1) to improve understanding of the powder preparation (milling) and hot consolidation (sintering) of starting powders of Fe-alloys bonded TiC-based composites (cermets); (2) engineer and characterize the Fe-alloys bonded TiC-based cermets; (3) to develop of industrially applicable fabrication technologies (both conventional and additive manufacturing) for production of prototypes and products from developed ceramic-metal composites.

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Ragnar Nurkse Department of Innovation and Governance is opening up to 4 PhD positions in the broad research area of Governance of Smart Cities. The prospective PhD students are requested to propose their own more specific research projects that will also support the development of the Finest Twins Centre of Excellence (CoE) in Smart Cities, the first smart city CoE globally focusing on the development of cross-border, sustainable and resilient smart city models and solutions (http://www.finesttwins.eu). The PhD project should focus on theoretical, critical, empirical or action research that contributes to the establishment of smart, resilient and sustainable cities worldwide.

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The PhD project will examine how digital-era public administrations are transformed to enhance collaboration in policy design and service delivery, advancing the participation of public, private and societal actors. The PhD project will focus on theoretical and empirical research that provides new insights into the co-evolutionary dynamics of public sector innovation, collaborative governance and digital change.

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In the face of increasing societal complexities and uncertainties, the need for public sector innovations is larger than ever. In order to promote innovation, public sector organizations must have high-level financing and investment capabilities, the development of which can pose considerable challenges for the existing traditional, control-oriented budget processes. The goal of this PhD project is to examine the possibilities for developing high-level budgetary and financing capabilities for promoting public sector innovation.

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A Smart City's digital infrastructure shares an abundance of non-personal and anonymized personal data. While it has been so far a business model to collect, process, and sell these data under market conditions, a Smart City's infrastructure in its ideal form intends to effect an automatic and free pooling of these data within the entire network, making them in that point legally and economically comparable to common pool resources. Even though the sharing/pooling of data among market players will often ease access, innovation and synergies among competitors, there is – as in all pooled data – also an inherent risk of anti-competitive measures taken by the members of the network, for instance if competitors are legally or factually denied access to the pool, if granular data is coarsed before shared, or when the granting of access to data on nonFRAND terms results in an exploitative abuse. It has always been controversial how a coherent and flexible legal framework for the management of common pool resources ought to be set up, and it is even more so for the copious data shared in Smart Cities. Both national and EU legislators are thus put to the challenge to provide for rules granting to all market players fair participation in this resource.

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The PhD project focusses on postglacial sedimentary Cladocera, lake productivity and regional climate patterns in North Eastern Europe (Baltic area and NW Russia) in cooperation with different palaeoproxy and a newly generated Cladocera surface sediment calibration set.

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The subject of the PhD project „Postglacial climate change in Northern Europe: focus on Chironomid-based reconstruction of summer temperatures” is closely connected with the personal research funding team grant (PRG323) led by S. Veski „Tracking the time-lags of species response to environmental change using palaeo-proxy data and modelling (TrackLag)”. The PhD project is planned to start in September 2020.

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TalTech School of Science, Department of Marine Systems offers a 4-year PhD position in oceanography.

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The proposed PhD studies focus on the understanding of the impact of timing and synchronisation of wave storms and high water level events on the properties of wave-driven sediment transport along sedimentary shores of the eastern and southern Baltic Sea and on the total sediment budget on the shores of this region. The central goal is to build an adequate estimate of sediment budget on these shores by combining i) observed data about changes to the location of the coastal scarp and the waterline and ii) numerical estimates of wave-driven sediment transport on the underwater part of the beach.

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Laboratory of Chemical Physics, National Institute of Chemical Physics and Biophysics is advertising a PhD position in the development of applications for nuclear hyperpolarization in bioanalytical NMR. To date, NMR has been considered as an immensely useful tool in biochemical research. At the same time, NMR is also regarded insensitive and very expensive. These properties hinder development of new applications for NMR. We have demonstrated how parahydrogen sourced nuclear hyperpolarization can be used to increase NMR signals by orders of magnitude, resolving the sensitivity issue. During this PhD project the successful candidate will develop our hyperpolarization technology further towards lower field and more affordable NMR instruments, aiming to solve the cost issue.

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National Institute of Chemical Physics and Biophysics, THz spectroscopy group offers a 4-year PhD position in spectroscopy and solid-state physics.

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Taltech School of Science, Department of Geology, Mineral Resources Research Group offers a 4-year PhD position in Physical Sciences

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The PhD project will be carried out under a research grant from the Estonian national research program for valorization of resources, starting in 2020. Vanadium is regarded as a critical battery metal for low-carbon economy. Polymetallic black shales are potential low-grade high-tonnage future source for vanadium, but remain largely unexploited today due to the geochemical complexity of fine-grained organic-rich deposits. The complexity lies in the heterogeneous and disseminated nature of mineralization in such ores, and in the shortcomings related to understanding of metal trapping pathways and interactions between different organic and inorganic compounds. The proposed PhD project will focus on gaining more thorough insights into vanadium distribution across different metalliferous black shales from Baltic Paleobasin and elsewhere. The project's goal is to characterize the forms and ways of vanadium enrichment, trapping and retention by mineral and/or organic matter. The research outcomes of the project will form the basis for further geochemical modelling of the considered system, help to advance resource models of polymetallic black shales and tailor more efficient recovery technologies for such resources. The project will be based on combined geochemical and mineralogical research, as well as leaching, extraction and demineralization experiments and involves both fieldwork and laboratory studies in Estonia as well as abroad.

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The PhD project will use multi-proxy approach (paleobotany, stable isotope and elemental analyses) to shed light to the environmental change and its effects to the local vegetation and fauna during the Late Quaternary period in Baltic region and Northern Eurasia.

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Advancing and extending the Baltic Sea wave information to coastal scales.

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PhD position in Mechanical Engineering, with the field of Thermal Power Engineering

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The proposed PhD project aims to investigate the productivity outcomes from introduction and implementation of new or upgraded technologies, while conditioning and accounting for externalities and socio-environmental constraints. The research applies modern approach in productivity estimation via rapidly evolving empirical productivity frontier and efficiency estimation methods, which account for the constraints and externalities emerging in the production process.

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Taltech School of Business and Governance, Department of Economics and Finance offers a 4-year PhD position in Economics and Finance.

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Taltech School of Business and Governance, Department of Business Administration offers a 4-year PhD position in Organizational Development and Management

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School of Information Technologies, Department of Software Sciences offers a 4-year PhD position in language technology.

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School of Information Technologies, Department of Software Sciences offers a 4-year PhD position in language technology.

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To develop and justify the possible methods and tools that ensure data transparency and integrity (issue is also stated in the IMI future research topics ) in the open secondary usage and big-data analysis of health data.

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To develop and justify the possible methods and tools that allow automated and rule based data anonymization of health data so that these anonymizations (issue is also reporten in IMI future research topics ) allow secure and dependable open secondary usage and big-data analysis of health data, without the risk of personal data leakage and breach of data protection rules, but still useful and reliable from the perspectives of data analysis and medical research.

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To develop and justify the domain-specific language (DSL) for supporting semantic mappng in open secondary usage and big-data analysis of health data, based on the state-of-the-art literature analysis and real-life healthcare systems. This DSL must equip data controllers with a tool (also stated in the IMI future research topics ) that allows them to describe their data formats and communication protocols, according to the Unified Semantic Model (developed according to the other subproject of the Open Health Data for the Open Science project) with minor or without software development.

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To develop and justify the Unified Semantic Model (USM) for open secondary usage and big-data analysis of health data, based on the state-of-the-art literature analysis and real-life healthcare data models. This model should allow semantically homogeneous, open, secure and anonymous secondary usage and big-data analysis of real health and medical data in a global context (data from a considerable amount of different data controllers) without the need for software development from the health data controllers (hospitals, laboratories, registers, etc).

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To develop and justify the reference architecture for open secondary usage and big-data analysis of health data, based on the state-of-the-art literature analysis and real-life healthcare and medical science needs. This architecture should support open data and open science policy by allowing real-life health data analysis in a global context (data from a considerable amount of different data controllers) without the need for transferring personalized data out of the data controllers premises.

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Taltech Department of Computer Systems, Research Group of Environmental Sensing and Intelligence offers a 4-year PhD position in the area of Internet of Intelligent Things.

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Taltech Department of Computer Systems, Research Group of Environmental Sensing and Intelligence offers a 4-year PhD position in the area of Internet of Intelligent Things.

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Taltech School of Information Technologies, Department of Computer Systems, Centre for Intelligent Systems offers a 4-year PhD position in Intelligent Embedded Systems for Control System Design.

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Taltech School of Business and Governance, Department of Business Administration offers a 4-year PhD position in marketing.

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Taltech School of Business and Governance, Department of Business Administration offers a 4-year PhD position in marketing.

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Taltech School of Business and Governance, Department of Business Administration offers 4-year PhD position in digitalization and organizations.

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The position is planned for structural analysis and design optimization with advanced materials and structures with main attention on composite structures. The study includes development of methodology for analysis and design of particular practical engineering structures. One application foreseen is an analysis and design optimization of solar panels, also wider class of glass structures and composite laminates since the photovoltaics is rapidly growing renewable energy sector as an alternative to regular fossil fuel powered electricity generation.

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Taltech School of Engineering, Department of Mechanical and Industrial Engineering offers a 4-year PhD position in Smart Manufacturing.

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Taltech Estonian Maritime Academy offers a 4-year PhD position in Naval Architecture. This PhD will investigate the numerical aspects of using machine learning in the context of finite element modelling of ship structures as well as the experimental approaches that are tailored towards ANN framework.

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Taltech Estonian Maritime Academy offers a 4-year PhD position in Naval Architecture.

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From one side, one of the main priorities for the maritime activities in the Baltic Sea Region is related to safety. From the other side, there are too many high-speed planing hulls, which are used in this area for various purposes including rescue and military missions, leisure activities, fishing, servicing etc. The crews onboard of a high-speed planning craft experience severe motions and accelerations that lead to serious physical injuries and death. The EU Physical Agents Directive limiting exposure to Whole Body Vibration (WBV) have had an increasing impact on high speed planing craft design and operations. It has been shown that high-speed planning craft can exceed the EU WBV daily exposure limit in a number of minutes in poor sea conditions. Therefore, this legislation has driven the requirement for a greater emphasis on high-speed planing craft motion during the design process. There are several solutions for motion reduction and improving the safety of planing hulls operations including shock mitigation seats, trim tab, interceptor and other devices. In this research, the main aim is to develop a conceptual framework in which several devices including trim tab and shock mitigation seat are merged as a unit solution for reducing the motions experienced by crews especially vertical acceleration. Both mathematical and numerical models will be developed to simulate the coupled simultaneous effects of active control trim tab and shock mitigation seat on motions reduction. Based on the developed models, a conceptual framework for simultaneous implementation of shock mitigation seats and active control trim tab will be developed that suggest the motions reduction and safety improvement of high-speed planing craft.

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Artificial Intelligence is one of the most enabling technologies of digital transformation in the industry. The methods and processes that are carried out in Marine Technology cannot be left out of intelligent machine leaning. There are many aspects in which Artificial Intelligence (AI) can be applied in ship design because of its direct impact on generating added value, saving time, decreasing the costs and obtaining a more competitive product. The first stage of the lifecycle of high-speed craft (HSC) is designing and the main design aspect of such craft is directly related to their hydrodynamics behavior including resistance, seakeeping and maneuvering motions. Therefore, the current thesis aims to develop a computational tool based on the intelligent machine learning that is able to predict the hydrodynamic performance (resistance, seakeeping and maneuvering) of a particular kind of high-speed craft. The required dataset for creating the Smart Computational Tool (SCT) should be developed based on the validated mathematical models as well as existing experimental data. Moreover, Genetic Algorithm is another methodology that should be considered in SCT to enable the user to find the optimized solution by considering various constraints and objectives including fuel efficiency. SCT has to be developed in an open source framework in which everyone can extend its functions and capabilities.

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Based on the recent International Maritime Organization (IMO) strategy on the reduction of GHG emission, new market demand has arisen for fuel-efficient ships. There are different kind of ships that work out in the Baltic Sea Region. These activities lead to sea and air pollution and threat the sensitive ecosystem of the area. One of the most common ship types that works in this region is high-speed craft. There are more than 3.5 million high-speed craft that are active in the Baltic Sea, mainly close to the coastal areas. Therefore, designing fuel-efficient high-speed craft is a challenge that needs to be considered, carefully. One of the main solutions for fuel reduction of high-speed craft is the development of innovative and optimized hull forms. Stepped hulls are innovative hull forms that have been used for high-speed craft design, so far. However, there is not any specific guideline for step design. There are various step shapes that can be used for resistance reduction (and fuel efficiency), but their optimized shape and arrangement, as well as their effects on Seakeeping and Maneuvering motions, are unknown yet. Therefore, this project aims to study the hydrodynamics of various stepped hulls and find which step solution can lead to fuel-efficient hull form by considering seakeeping and maneuvering motions. For this purpose, both numerical and mathematical models for various step shapes should be developed and a design guideline has to be presented to planning hulls designers.

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Ph.D position in Autonomous vehicles research group to participate in designing and developing self-driving vehicles with a special focus on the sensors. The position expects practical knowledge and software development skills as well as electrical and mechanical engineering experience. You can work in most innovative projects within a motivated international team.

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Taltech Department of of Mechanical and Industrial Engineering, Smart Industry Research Group offers a 4-year PhD position in Digital Manufacturing

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Taltech School of Science, Department of Chemistry and Biotechnology offers a four-year PhD student position in molecular neuroscience

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The doctoral thesis firstly aims to set up methodology to determine and quantify taste-active compounds in food and beverages including fractionation, 2D-NMR, LC/MS(/MS), ICP-MS and applying other advanced instrumental analysis methods. Understanding flavor in food includes also sensory analysis and working with expert panel. Part of the thesis includes research in applying supramolecular and nanoemulsion systems to encapsulate off-flavors.

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The doctoral thesis aims to elucidate adaptation mechanisms and their regulation in psychrotrophic bacteria associated with food mostly focusing on the intraspecies variations. Data on correlation between physiological properties, genomes, transcriptomes and proteomes will be implemented into improved microbial hazard identification and prediction of microbial behavior in foods at low temperatures.

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Networks and their architectures are central to the mathematical and computer sciences as well as to systems biology and systems medicine. This proposal aims to transcend the concepts of network science onto synthetic chemistry and materials science. From the outset, we have identified that the concept of networks in chemistry should be divided into two separate, however, strongly intertwined research streams. We will design cell- permeable heteromultifunctional constructs to probe intracellular networks using small molecules that typically go beyond Lipinski’s rule. We will also build molecular networks (materials) by using single-precursor/fused hybrid linker-based approach and will apply them as electrocatalysts and in heterogenous catalysis for large-scale applications.

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Ice binding proteins (IBP) are natural polypeptides that are produced by organisms living in cold environments to prevent ice crystal growth and re-crystallization. Several food spoiling microbes are able to grow at refrigerator temperatures 2-6oC, therefore close to zero (or as alternative <-20oC) temperatures are preferred for long time storage. Technically, if exclude chilled storage on ice decreasing temperature to melting point is challenging as it might cause freezing damage of due to the time-spatial temperature fluctuations. A solution to the problems related to ice formation in chilled and frozen products might be adding ISPs. Our collaboration partner has recently screened 60 psychrophilic bacterial cultures isolated and found a strain (probably Pseudomonas fluorescens) capable of secreting IBPs. The main goal of PhD thesis is to investigate the potential of using Pseudomonas fluorescens IBP for improving quality and storage time of refrigeted and frozen food. For that purpose, PhD student will characterize the growth and excretion of IBPs by respective strains of Pseudomonas, isolate the protein, and establish its DNA and protein sequence, the structure and the mechanisms of action in food storage conditions.

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Breast cancer is most diagnosed tumor and second cause of death among female worldwide. Remodeling of metabolism during malignant transformation of cancer cells is one of main hallmark of tumor. Thus, cancer metabolism is perspective therapeutic target of cancer treatment. 18O stable isotope metabolomic method has successfully applied to study myocardial ischemia, heart failure, neurodegenerative disorders. Therefore, 18O stable isotope metabolomic method will offer new perspectives to discover alterations in the dynamics of energetic and metabolomic signaling circuits in cancer cells. In current PhD project modern 18O stable isotope mass spectroscopy method will be applied to discover new therapeutic targets of breast tumor by analyzing cancer cells metabolomic fingerprints.

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Solid-state reactions using mechanochemical activation methods have the potential to replace current technologies by solvent-free atom-efficient strategies. We are looking for a motivated PhD student willing to contribute to the development of new mechanochemical synthetic methods with goal to reach complex molecular structures with minimal number of synthetic steps, though catalysis and templated synthesis in solid state. (Kaabel & Aav, et al. Angew. Chem. Int. Ed. 2019, 58, 6230-6234).

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Nuclear magnetic resonance (NMR) is a powerful tool to differentiate between diastereomeric pairs of compounds. The idea behind NMR shift reagents is for chiral reagents to either react or give supramolecular complexes with enantiomers of substances that would then yield diastereomers and their chemical shifts would be different in NMR. In this project, we pursue to find NMR shift reagents for chiral sulfite compounds.

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The current doctoral thesis aims at elucidating the roles of peptides in yeast nitrogen nutrition, the mechanisms underlying their assimilation under various fermentation conditions, as well as studying their effect on quality attributes of fermented foods.

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School of Science, Department of Chemistry and Biotechnology, Research Group of Metalloproteomics offers a 4-year PhD position in biotechnology.

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School of Science, Department of Chemistry and Biotechnology, Research Group of Metalloproteomics offers a 4-year PhD position in biotechnology.

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TalTech Virumaa College, Research Group of Applied Chemistry offers a 4-year PhD position in Chemical and Materials Technology

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Taltech Virumaa College, Research Group of Applied Chemistry offers a 4-year PhD position in Chemical and Materials Technology.

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Current research efforts in Photovoltaics (PV) are focused on identification and development of new emerging semiconductor materials with very limited or absent concerns on material availability, toxicity and cost-efficient processability. A big emphasis is on development of antimony chalcogenide compounds – identified as a new class of materials with tremendous potential for next generation PV applications. These materials represent a strong research direction in the Laboratory of Thin Film Chemical Technologies, Department of Materials and Environmental Technology at TalTech. In this context the laboratory opens positions for highly enthusiastic and motivated students to perform research under the doctoral study programme Chemical and Materials Technology, for the period of 2020-2024. The candidate will carry out a multidisciplinary scientific activity in the framework of the projects PRG627, TAR16016EK, H2020 ERA Chair of Emerging Next Generation Photovoltaics on the development and characterization of thin films and photovoltaic devices based on Sb2Se3, Sb2S3 and related alloys PV absorber materials.

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The project is aimed at solving vital environmental and economical issues – developing phosphate rock processing technologies. The most promising and environmentally least harmful methods for phosphate rock valorization are elaborated, focusing also on the extraction possibilities of valuable rare earth elements.

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Photovoltaic (PV) Solar Energy Conversion is a key renewable energy source to replace burning fossil fuels–a cause of substantial CO2 emissions and environmental pollution. Stricter regulations and rising raw materials demand has prompted intensive studies on non-toxic, earth abundant, stable materials. Among them, antimony chalcogenides (Sb(S,Se)) are recognized as part of the pinnacle of emerging PV materials. This PhD thesis topic is focused on the development of Sb2S3 thin films with controlled orientation of crystallites, optimization of low-temperature deposition processes and fabrication of semi-transparent solar cells for next-generation BIPV applications, e.g. electricity producing solar windows–the key to turn buildings from energy users to energy producers. The laboratory opens position for highly enthusiastic and motivated student to perform research for the period of 2020-2024. The candidate will carry out a multidisciplinary scientific activity in the framework of the projects PRG627, TAR16016EK, H2020 ERA Chair of Emerging Next Generation Photovoltaics on the development and characterization of thin films and photovoltaic devices.

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The PhD candidate will join a team to develop next generation solar cells technology. We investigate Sb-compounds as thin film optical absorbers and its immediate interface layers for charge extraction. The aim is to introduce technological advances and to demonstrate improved photovoltaic performance. Current projects are as follows: PRG627, TAR16016EK, and H2020 ERA Chair of Emerging Next Generation Photovoltaics (Additional information: www.etis.ee). Work will be carried out in TalTech, external EU collaborations are possible.

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TalTech Laboratory of Wood Technology is offering PhD position to well-qualified individual to work on a PhD research project to design the wood-bio-based adhesive systems based on well-known and highly reproducible wood surfaces from different wood species with commercially available bio-based adhesive systems. TalTech has excellent facilities and staff for accomplishing this research. TalTech has a laboratory veneer peeling and plywood production line which allows controlling processing parameters to develop reproducible surfaces with a range of characteristics and for testing the surface properties and mechanical properties of the products. The individual assigned to this position will be enrolled to the doctoral study program “Chemical and Materails Technology” and part time employed as early-stage researcher by the Department of Materials and Environmental Technology.

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Photovoltaic (PV) is one of the fastest growing renewable energy technologies. Its potential is enormous and constant increase in the installation of photovoltaic modules is expected being supported by continuous improvement in performance and reduction in cost. The research group hosting the proposed PhD project is developing an innovative, customized and efficient building integrated photovoltaic (BIPV) technology based on multinary chalcogenide materials. The PhD project focuses on the development of alternative front contacts and entirely new transparent back contacts for monograin layer solar cells aiming to produce cost-effective, light-weight, flexible and semitransparent photovoltaic devices.

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The research group hosting the proposed PhD project is developing an innovative, customized and efficient building integrated photovoltaic (BIPV) technology based on kesterite type materials Cu2ZnSn(S,Se)4 (CZTSSe) that among the environmentally friendly and abundant emerging thin film solar cell materials have shown the highest potential already reaching efficiencies above 12%. The PhD project focuses on the defect engineering in kesterite absorber via novel doping and alloying strategies in monograin powder technology aiming at reducing recombination losses in kesterite based monograin layer solar cells developed by the research group. The result of the PhD work would be improved performance of the CZTSSe based monograin layer solar cells for BIPV.

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The doctoral study aims to reveal chemical reaction kinetics, reaction products and, thus, reaction paths in respect of contaminants of emerging concern (CECs) in various matrices, such as water and waste activated sludge, treated with gas-phase pulsed corona discharge plasma combined with peroxocompounds oxidation processes. Accordingly, oxidation reaction pathways of the selected CECs to be established and characterized from the kinetic, stoichiometry and product safety standpoints in application of plasma-peroxocompounds oxidation systems. The novelty of study is based on the use of the most energetically advanced oxidation technology in a very promising combination with hydrogen peroxide and persulfate.

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PhD study theme is focused on development of novel protective coatings based on nanocomposite materials. These coatings are aimed to protect solar cells and ought to show high optical transparency, provide effective radiative cooling of solar cells, protect them from UV, mechanical, and climatic impacts. Moreover, the materials and technologies developed during the project are expected to be promising for a broad variety of other applications. The main idea of the project is to improve the state-of-the-art SiOx protective coatings derived from polysilazane (PSZ) combining them with carbon nanomaterials: carbon nanotubes and graphene. In the framework of the project, we will employ a number of approaches to enhance protective properties of PSZ-based coatings. In particular, we are going to create novel PSZ-based composites with carbon nanomaterials and to apply various post-treatment techniques.

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New Goal Based Standard issued by International Maritime Organization will change the philosophy how the ships are designed. The central element for optimal ship design will be a fluid-structure interaction (FSI) model, where ship’s structural response and hydrodynamic loads are evaluated simultaneously. In addition to ship structures, such interaction model is required also for other complex marine structures such as wind turbines, for example. The objective of the doctoral dissertation is to develop a model for dynamic response of marine structures using two-way partitioned approach for fluid-structure interaction. The model should be universal in nature to be applicable for a range of marine structures and limit states. The focus of the thesis is on the structural response and on the coupling schema between the structural and fluid domain. The fluid forces will be provided by the computational fluid dynamics simulations that are out of the scope of the thesis.

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The main goal of the PhD research is to combine demographical and spatial data with buildings data in order to synthesize preconditions for carbon neutrality by 2050 in building sector.

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TalTech Academy of Architecture and Urban Studies opens a PhD position in a research project concerning future urban technology mediated cities. The cooperative project is established by TalTech, City of Tallinn and several private sector partners. The aim of the project is to suggest data-based solutions to analyze and guide built environment, mobility and service development related to various aspects of the ´smart´ future city. Under the topic ‘New urban design and analyses methods for transforming mobility and urban morphology’, the PhD candidate will study anticipated changes in urban mobility system, and apply computational methods to explore impacts of individual decisions regarding e.g. mode of transportation to emerging implications in urban flows and spatial configurations.

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TalTech Academy of Architecture and Urban Studies opens a PhD position in a research project concerning future urban technology mediated cities. The cooperative project is established by TalTech, City of Tallinn and several private sector partners. The aim of the project is to suggest data-based solutions to analyze and guide built environment, mobility and service development related to various aspects of the ´smart´ future city. Under the topic Urban spatial data analytics in urban design and planning the PhD candidate will study anticipated changes in urban spatio-functional system and its implications in urban morphology, energy economics and urban planning using computational tools.

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TalTech Academy of Architecture and Urban Studies opens a PhD position in a research project concerning future urban technology mediated cities. The cooperative project is established by TalTech, City of Tallinn and several private sector partners. The aim of the project is to suggest data-based solutions to analyze and guide built environment, mobility and service development related to various aspects of the ´smart´ future city. Under the topic ‘Smart city urban economics and urban design: guiding of complex processes’, the PhD candidate will study anticipated changes in work and resulting transitions in urban economic landscape and its key actors, emerging spatial logics and methods to guide the urban socio-economic systems towards preferable goals.

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School of Engineering, Department of Civil Engineering and Architecture, Water and Environmental Engineering Research Group offers a 4-year PhD position in environmental engineering.

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Traditionally, the power system asset management is based on interval-based approach and not on actual asset condition. In this PhD project the objective is to thoroughly assess the applicability of existing and alternative measurement options, sensors, IoT and cyber security aspects to enable reliable and usable asset management approaches considering the actual asset condition. This PhD is part of a research and development project between TalTech and Estonian Transmission System Operator.

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Traditionally, the power system asset management is based on interval-based approach and not on actual asset condition. In this PhD project the objective is to analyse thoroughly the asset management approaches and develop methodology to include actual asset condition and its ranking to asset management process. For analysis various type of data from substation and system is available, e.g. SCADA, WAMS, environmental measurements, etc. This PhD is part of a research and development project between TalTech and Estonian Transmission System Operator.

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Traditionally, modelling and simulation of large-scale power systems have been conducted using root-mean square (RMS) simulation programs. However, the increased number of converters connected to the grid introduced new dynamic behavior giving rise to new forms of stability problems that cannot be accurately studied using the RMS simulation tools. An alternative to this approach is the use of multi-rate electromagnetic transient (EMT) simulations. The main goal of this PhD research is to investigate the application of multi-rate simulation for stability studies of large-scale power systems having a high penetration of power electronic converters.

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Within this thesis, the PhD candidate will leant about the additive manufacturing of electrical machines and design and optimization of special types of electrical machines. We will provide necessary hardware and software for simulation and prototyping the machines but the candidate is responsible for developing design and optimization methodology for novel type machine. At the end of the thesis, several prototype machine will be built and the candidate will participate in this process.

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Within the thesis, the PhD candidate will learn the diagnostics methods used for electrical machines and related signal processing algorithms. The candidate will also learn advanced methods for diagnostics using artificial intelligence, digital twins and bordering IT methods for the electrical machines. We will provide necessary hardware and software for simulation and testing the diagnostics tools. The candidate is responsible for developing and implementing the diagnostics procedures. At the end of the thesis, working demonstrator will be built and tested.

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This thesis has a goal to research the properties and behavior of the modern power electronic devices, connected to the AC grid, in order to determine their effects to the distribution network power supply quality and possible means to increase to the non-linear devices’ hosting capacity of the distribution networks.

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Taltech School of Business and Governance, Department of Business Administration offers 4-year PhD position in digitalization and organizations.

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School of Engineering, Department of Civil Engineering and Architecture offers a 4-year PhD position in mechanical engineering/electronics.

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School of Engineering, Department of Civil Engineering and Architecture offers a 4-year PhD position in mechanical engineering.

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Short summary of the position

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Short summary of the position

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Short summary of the position.

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