Open positions

TIMELESS in a crucial component of the replication fork, known to play a key role in response to replication stress. While Timeless is an important part of replication initiation, its exact role in this process is unclear. The goal of this PhD project is to study the role of Timeless protein in the initiation of DNA replication in human cells.

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The increase of new kind of loads (electric vehicles, battery storage) and the increase of overall electrical energy consumption with higher peak load has to be covered by new flexible operation functions. Any new and more flexible operation including a higher degree in automation will lead to opportunities in operating power systems more efficient. The evolution of the distribution networks through increased electrification and new load and generation technologies and patterns, calls for an increased overall need for flexibility in the operation and planning of distribution networks. In addition to technological solutions, there is also a clear need for new ways of thinking regarding organizing and regulating the DSO business, together with needs for involving the grid consumers/prosumers.

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TalTech School of Science, Department of Chemistry and Biotechnology offers a 4-year PhD position in chemistry.

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TalTech School of Science, Department of Chemistry and Biotechnology offers a 4-year PhD position in chemistry. Supervisor: Senior Researcher Yevgen Karpichev; Co-supervisor: Senior lecturer Kristel Vene

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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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TalTech School of Engineering, Department of Civil Engineering and Architecture, Nearly Zero Energy Buildings research group offers 1 4-year PhD position in civil engineering.

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The Academy of Architecture and Urban Studies of Tallinn University of Technology (TalTech) invites applicants for a 4-year PhD position in the field of Urban Innovation and Sustainable Smart City Development. Under the topic “Organizing Collaborative Ecosystems for Sustainable Smart City Transitions”, the PhD candidate will apply qualitative research methods to examine collaborative approaches and organizational dynamics in the framework of smart city projects.

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Advancing and extending the AI applications on remote sensing satellite imagery on coastal areas.

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This position is created with aims to study possibilities of introducing modern technical KPI measurements framework and to smart engineering systems using blockchain. Sample scenarios, as a result, will be produced for collecting KPI-s in SMEs about engineering systems with environmental impacts taken into account.

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The main objective of the research is to develop the intelligent workplace of mechanical product assembling with AI functionality, for flexible manufacturing in the field of mechanical engineering, electronics, furniture, and food industries

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The main goal of the research is to study and develop digital optimization and control models using AI functionality in the real production process.

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TalTech School of Information Technologies, Department of Software Sciences offers a 4- year PhD position in the field of ICT.

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The PhD project will be carried out under a research grant from the Estonian national research program for the valorization of resources, starting in 2020. Vanadium is regarded as a critical battery metal for a low-carbon circular economy. Polymetallic black shales are a 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 an 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 Cambrian to Lower Ordovician metalliferous black shales from the Baltic Paleobasin. 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 modeling 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 and demineralization experiments, and involves both fieldwork and laboratory studies in Estonia as well as abroad.

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In the PhD project, inverse problems for media whose motion is governed by generalized fractional wave equations will be handled. The problems consist in identification of inhomogeneities of the media by means of measurements of scattered waves.

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The doctoral thesis aims to elucidate adaptation mechanisms and their regulation in Listeria monocytogenes bacteria in refrigerated environment at different cooling rates. Data on correlation between physiological properties, genomes, transcriptomes and proteomes will be implemented into improved microbial hazard identification and prediction of microbial behaviour in foods at low temperatures.

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The PhD project includes three classes of materials to be studied by NMR: (1) Structure elucidation of new organic synthesis products by 2D NMR spectroscopy; (2) Variable temperature NMR studies of supramolecular systems for reaction and complexation kinetics and NMR experiments for complexation binding strengths and conformations; (3) Studies of inorganic salts and their complexation with chiral and achiral fullerenes to obtain their structures and formation rates. The PhD student will work on all of the above topics.

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Since the introduction of the SLM process, either existing materials are fabricated or their compositions are altered. As the next step, the aim of this project is to design and develop SLM-specific materials with remarkable properties for various applications. Supervisor: professor Prashanth Konda Gokuldoss. Co-supervisor: senior researcher Lauri Kollo

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TalTech School of Science, Department of Chemistry and Biotechnology is offering a 4-year PhD position in chemistry.

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The transition towards a bioeconomy requires novel processes that use sustainable substrates, have improved life cycle assessments, and, hence, require less energy to produce. Oleochemicals are a wide range of molecules that can be used as biofuels, cosmetics, plastics, surface coatings, but also as food and feed supplements. Microbial lipids (ML) are one high-potential feedstock for the production of these oleochemicals. Production of MLs does not require land, compete with arable land, and is not affected by weather. Non-conventional yeast Rhodotorula toruloides has recently been defined as a promising workhorse for biotechnological applications. This yeast grows on various substrates, including lignocellulosic hydrolysates and food waste, accumulates over 70% of its biomass as lipids (g/gdw), and grows to high cell densities. R. toruloides is also a natural producer of high-value compounds, such as carotenoids and enzymes. In the current project, novel synthetic biology tools for R. toruloides will be utilized and further developed to improve the uptake of hemicellulose hydrolysates and convert them into value-added food supplements like specialty lipids and antioxidants.

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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. Supervisor Prof. Kadri Männasoo; Co-supervisor Prof Aaro Hazak

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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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Sustainable thermoplastic polymers are developed and investigated to partly or fully replace non-renewable-resources-based materials for melt processing technologies. Cellulose appears to be a nearly unlimited renewable resource for polymeric materials. Discovery of dissolution processes of cellulose in ionic liquids opens several new routes for functionalization. Thermoplastic cellulose derivatives can be prepared without use of plasticizers, by attaching long-chain ester branches to the macromolecule of cellulose. The research challenge is to find chemically stabile, efficient and recyclable solvent(co-solvent) systems and functionalization routes, which have also potential for industrial upscaling. Also, the functionalization route should provide control over degree of substitution and mixed branching if necessary.

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TalTech School of Engineering, Department of Electrical Power Engineering and Mechatronics is offering a 4-year PhD position in the Field of Applied Power Electronics.

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PhD Research Project in the Field of Applied Power Electronics

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The aim of this PhD project is to study the low and mid-temperature splitting of CO2 in molten salt mixtures with the aim of creating carbon nanomaterials for electrocatalysis with cheap and available electrodes.

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The main objective of this Ph.D. project is to develop new technological pathways for recycling spent Li-ion batteries (SLIBs). As LIBs production keeps increasing, the amount of SLIBs is also growing rapidly. SLIBs recycling has environmental and economic benefits as they contain various valuable metals (Li, Co, Ni, Mn etc.) and graphite, which is critical strategic mineral. However, to take the full advantage of the recycling potential, there is a great need for finding new recycling strategy. In this project various recycling possibilities will be studied. The final goal is to develop cost-effective recycling methods for SLIBs and propose various new applications for the recycled materials/components.

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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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The doctoral thesis will take place in the context of the project titled “COSMOLOCALISM” led by Prof. Vasilis Kostakis. Research will be oriented towards exploring organisational structures active in the production of knowledge commons and open-source technologies through case studies and pilot projects both within the project and related to it. Supervisors: Christos Giotitsas, co-supervisor Vasileios Kostakis.

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The doctoral thesis will take place in the context of the project titled “COSMOLOCALISM” led by Prof. Vasilis Kostakis. Research will be oriented towards exploring the sustainability potential in the production of knowledge commons and open-source technologies through case studies and pilot projects both within the project and related to it.

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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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The Ragnar Nurkse Department of Innovation and Governance is opening up a doctoral position in the research area of 'Urban analytics and data.' Doctoral research students are invited to submit their ideas for topic specific research projects, which will be in line with the main research axes of the FinEst Twins project, from which the position is funded. The projects should focus on theoretical and empirical research that contributes to establishing smart, resilient, and sustainable cities worldwide and fostering the design and use of data technologies that consider social diversities.

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TalTech School of Business and Governance, Department of Law offers a 4-year PhD position in economics.

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TalTech School of Business and Governance, Department of Law offers a 4-year PhD position in economics. Supervisors: Abel Polese (Tallinn University of Technology) and Prof. Rodica Ianole Calin (University of Bucharest).

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TalTech School of Business and Governance, Department of Business Administration, Marketing Research Group is offering a 4-year PhD position in the field of Economic Development / Economic Policy.

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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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The objective of this PhD research position is to develop methods and tools for forecasting corona losses in transmission systems. In modern power systems there are many new sources of real time measurements, e.g. PMU, PQ, etc., that can be used as an input to estimate the corona losses. In this project the suitability of machine learning methods is assessed together with determining the corona losses dependency on weather conditions, type of measurements and age of infrastructure.

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