Open positions

Thomas Johann Seebeck Department of Electronics at School of Information Technologies, Tallinn University of Technology, Estonia, and OÜ Eliko, Estonian, has an opening for an industrial PhD project on the development of sensor fusion enabled indoor positioning.

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Thomas Johann Seebeck Department of Electronics at School of Information Technologies, Tallinn University of Technology, Estonia, and OÜ Eliko, Estonian, has an opening for an industrial PhD project on the development of multi network positioning algorithms and methods.

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The project includes analysis of barriers of adoption and impact to patients and healthcare system. It will also include policy implications for national health information system regarding standards and interoperability.

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6G is expected to be characterized by extreme densification of the network, a cell-free network to offer seamless quality of service and reliable coverage. At the same time ORAN alliance, its flexible and virtualized open radio access network opens up ways to innovate new methods empowered by artificial intelligence (AI) to optimize time-resources.

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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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Voevodsky’s Homotopy Type Theory is an expressive logical framework for the development of formalized mathematics, in particular homotopy theory and higher category theory. This PhD project explores applications of Homotopy Type Theory to denotational semantics of programming languages. Supervisor: Niccolò Veltri Co-supervisor: Tarmo Uustalu

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The research topic consists of the verification of the main physical features in the numerical circulation model results and satellite remote sensing fields that are governed by a simple dynamical relationship. The focus is on the verification of baroclinic and barotropic geostrophic motions using machine learning algorithms.

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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 student interested in economic complexity and global value chains. The PhD student would join the two on-going international projects, carried out in co-operation with outstanding research partners.

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The aim of this project is to develop novel bioorganic NMR structural and functional analysis methods, mainly for early detection of Alzheimer’s and Parkinson’s disease by investigating the metabolic changes taking place in their progression, and also for drug development.

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The position combines PhD studies with research related and other tasks as Early Stage Researcher, working under the guidance of the supervisor and senior research group members.

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The metallogenesis of the crystalline basement of Estonia has been historically assessed, but modern analysis of ore mineral occurrences is lacking. The PhD project will produce novel, state-of-art information about these Precambrian formations, metallogenic regions, its origin, source and evolutionary peculiarities of metal ores.

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Polychaete jaws (scolecodonts) are common Paleozoic microfossils, but their early record is poorly documented. The project seeks to fill this gap by studying new and existing material from Cambrian and Early Ordovician strata globally, to reveal the main evolutionary events, diversity turnovers, and paleoecological trends of jaw-bearing worms.

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This doctoral study aims to develop the state-of-the-art technology for the degradation of hazardous aqueous and airborne contaminants. For this purpose, an energy effective method of low-temperature plasma generated by gas-phase pulsed corona discharge (PCD) in combination with photocatalytic oxidation is to be studied.

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This PhD study builds upon the investigation of power supplies' operating fingerprints, targeted for improvement of the diagnostic methods of electronic power supply units. The main target of the investigation includes analysis of the conducted disturbances in frequency ranges below 150 kHz.

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We propose to develop machine learning methods that exploit both N-body simulations and the exquisite precision of the ESA Gaia satellite in the search for dark subhalos in the Milky Way galaxy.

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This PhD project in experimental physics is focused on studying fundamental physical properties of complex novel materials that may have high-tech applications. We use THz spectroscopy as the main tool as it probes low energy excitations what are characteristic to quantum systems. Specifically, we are studying novel superconductors.

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This is an interdisciplinary project combining physics and biology to study the intracellular environment in the heart muscle. Through development of cutting edge experimental and data analysis approaches, it is expected to reveal intracellular environment properties that govern molecular movements and have a major impact on shaping cardiac physiology. Supervisor: Marko Vendelin. Co-supervisor: Rikke Birkedal Nielsen.

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The aim of this project is to investigate the properties of strain wave propagation through natural and synthetic felts. The proposed study is mostly related to mathematical modelling and numerical experiments.

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The main aim of the project is to investigate the processes driving oxygen depletion in areas of freshwater influence in the various spatio-temporal scales, from decadal to synoptic-scale in time and from sea/basin scale to submesoscale. State-of-the-art in-situ measurements and numerical simulations will be used. Supervisor: Taavi Liblik. Co-supervisor: Germo Väli.

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The aim of this project is to understand the role of mechanical and thermal effects in signal propagation in nerve axons. The proposed study is mostly related to mathematical modelling and numerical experiments.

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The PhD student will join the research program of the Estonian Research Council Team Grant PRG1055 "Beyond Einstein gravity in light of Early Universe particle physics" and study the interplay between inflation, dark matter and Higgs vacuum stability in theories of gravity beyond Einstein's general relativity.

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This PhD position invites applicants to work on the governance of mission-oriented research and innovation policies in the context of small states. The prospective PhD students are asked to provide their own theoretical, empirical or action research proposals to tackle key research issues and contribute to the debates on mission-oriented policies. Supervisor: Erkki Karo. Co-supervisor: Veiko Lember.

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This PhD project involves developing a viable technological route for fabrication of porous structures from tantalum (Ta). In this work, we aim to develop additively manufactured (AM) novel tantalum scaffolds in collaboration with an industrial enterprise specialized in the production of rear and rear-earth metals.

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This PhD project will be conducted in the context of the “SMOOTH” EU project. Research will be oriented towards educational commons in the lines of the thought of scholars such as Ivan Illich or Paolo Freire. Through case studies and educational workshops, the potential of the educational commons to reverse inequalities in youth will be explored.

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Several inconsistent sources of marine data/models are used for determining sea level. The geoid (equipotential surface) allows these sources to conform to a common vertical reference datum. The focus of this study is on developing machine learning algorithms that combine different data sets for accurate determination of offshore sea level heights.

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This PhD study contributes to the development of novel green fractionation technologies for the extraction of lignin and cellulose from different kinds of biomass. The project focuses on the development of reliable analytical methods for the qualitative and quantitative assessment of feedstock, fractionation products and new materials.

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Sb2Se3-based solar cells are exhibiting promising perspectives, with a record efficiency above 10%. This PhD project is about finding the way in controlling electrical conductivity type and magnitude and the buffer layer for controlling electrical charge transport to/from Sb2Se3 by theoretical and experimental methods.

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The PhD student will engage in multidisciplinary scientific activity in the framework of the projects PSG689 and PRG627 on the development and characterization of thin films and solar cell devices based on emerging Bismuth-Antimony chalcogenides (Bi2S3, Sb(S,Se)3, and their alloys) PV absorber materials. Supervisor: Nicolae Spalatu. Co-supervisor: Ilona Oja Acik

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Power networks are growing and the use of underground cable is increasing around the globe. Incipient defects in the cable’s insulation cause unplanned power shutdowns. The proposed work aims at enhancing the capability of condition monitoring and diagnostic solutions for power cables and hence at increasing the reliability of the power grid. Supervisor: Muhammad Shafiq. Co-supervisor: Ivo Palu.

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In this PhD project, a computational tool based on intelligent machine learning will be developed, that is able to predict the hydrodynamic performance of high-speed planing craft. The required dataset for creating the Smart Computational Tool should be developed based on validated mathematical models and existing experimental data.

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Underwater ambient noise (AN) is caused by multiple natural and anthropogenic sources and is a random process. Statistical methods help to assess AN spatial distribution in the ocean depending on environmental conditions and physical properties of the water column. The aim of this project is to derive these properties from the AN monitoring data.

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The aim of this PhD project is to develop in-situ cost-effective portable solutions for quick, sensitive and selective determination of banned and regulated substances in various biological as well as non-biological sample matrices. Supervisor: Jekaterina Mazina-Šinkar. Co-supervisor: Vitali Sõritski.

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The aim of this PhD project is to identify and characterize novel enzymes for enhanced applications in biomass conversion as well as lignin valorization. The laboratory uses a multidisciplinary approach in the study of enzymes, combining microbiology, classical biochemistry, X-ray crystallography as well as analytical chemistry methods.

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This PhD research focuses on finding novel lead compounds from plants used in Estonian folk-medicine with anti-borreliae activity. This will be achieved through developing extraction and isolation techniques for discovering bioactive compounds from biomass and subsequent in vivo testing against Borrelia burgdorferi.

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The aim of the project is to improve adaptability and resilience of perennial ryegrass for safe and sustainable food systems through CRISPR-Cas9 technology. Genes involved in the mechanisms of freezing tolerance and biomass growth under water deficit will be investigated and targeted via gene editing.

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Recent developments in renewable energy generation, electric vehicles (EVs), wide use of combined heat and power (CHP) technology, emerging power-to-gas (P2G) devices incited significant changes in energy production and consumption that results in need to investigate future use of Integrated Energy systems.

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The PhD project focuses on the modelling and the visualization of green infrastructure in urban digital twins. It will explore the new opportunities and use cases related to the algorithmic modelling of urban nature, especially from the point of view of urban planning and citizen engagement.

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Brain-derived neurotrophic factor (BDNF) is regulated by activity in brain neurons and is associated with several human psychiatric and cognitive disorders. The aim of the project is to characterize novel mechanisms involved in neuronal activity-regulated BDNF gene expression by using molecular and cell biology approaches and animal experiments.

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A full PhD position for a student who will do research on AI-based management systems and its impacts on work environment, work organization, human well-being etc. The overall objective of the study is to fill a research gap and find solutions to managing AI-based systems in organizations.

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In this doctoral position you will develop a finite element based approach to assess the crashworthiness of ship structures in collision and grounding accidents. For accurate predictions, the model shall include the effect of surrounding fluid (external mechanics). The model development will be done with Abaqus software.

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TalTech Laboratory of Wood Technology is offering a PhD position to a well-qualified individual to work on a research project to design innovative multilayer engineered wood products from low-quality wood species. The PhD student will be employed part-time as an early-stage researcher.

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The overall objective of the PhD study is to design and synthesize molecularly imprinted polymer (MIP) endowed selectivity to a specific pollutant and its integration with a portable sensor platform in order to develop a cost-effective sensor for monitoring aquatic environment pollution.

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The overall objective of the PhD study is to design and synthesize a molecularly imprinted polymer (MIP) endowed with the selectivity to a disease-related protein biomarker and its integration with a portable sensor platform in order to develop a cost-effective sensor for medical diagnostics.

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This is a PhD position in an organic chemistry group that focuses on the development of modern synthetic methods in continuous-flow.

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The PhD student will support the development of new thermal management strategies for Next Generation Additively Manufactured Electric Motors (EM). With an emphasis on improving EM’s thermal efficiency, the PhD student will contribute to the development of new design methods and technologies which will shape the future of EM.

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This 4-year PhD position is offered to work on the valorisation of bioresources though developing novel lignin-based materials. The PhD project will be devoted to the development of „green" synthetic routes towards sustainable lignin-based surfactants and comprehensive study of the novel surfactant systems and formulations.

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Reproductive biology group at TalTech is recruiting a motivated candidate to join our molecular cell communication studies of the human ovary. Second and third generation sequencing technologies, bioinformatic data analysis and experimental studies will be used to reveal the underlying causes of ovarian disturbances in infertile women.

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The PhD project focuses on the modification of the p-n junction of kesterite solar cells to take the device efficiencies to the next level targeting above 15%. The main objective is to produce sustainable, cost-effective, light-weight, flexible and semitransparent photovoltaic devices in frame of Estonian PRG1023 and EU CUSTOM-ART projects. Main supervisor: Kristi Timmo. Co-supervisor: Marit Kauk-Kuusik.

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The PhD project focuses on the development of alternative front contacts and entirely new transparent back contacts for MGL solar cells aiming to produce cost-effective, light-weight, flexible and semitransparent photovoltaic devices. The PhD work will contribute to the projects: Estonian Research Council grant PRG1023 and EU project CUSTOM-ART.

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The PhD project aims to create and analyse novel chitosan-Ag (or CuO) nanocomposites (CS-NCs) for biomedical applications, such as wound-dressings and implants, and identify the CS-NCs physicochemical properties yielding the highest antimicrobial and immune-modulating efficiency with no adverse side effects to humans.

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Motivated by the recent progress in the nanophotonics, photovoltaic and biophotonics applications and the increasing demand for cost-effective and easy-to-use point-of-care platforms, tailoring the emission in luminescence materials has a great scientific interest. These luminescent materials have been synthesized mostly in powder-form, formed by a matrix (host) doped with activators which can be a transition metal or rare earth (RE) ions that act as emitting centers. For practical applications, luminescent particles are incorporated to form thick or thin films. Therefore, the development of monolithic luminescent glass-ceramics and -ceramics by a single and cost‐efficient process supported by robust moisture and thermal stability is highly desirable. Recently, we have demonstrated that luminescent properties in layers depend on random orientation or/and by epitaxial growth. In this context, one of the breakthroughs in this project is the understanding of luminescence in monolithic layers on several surfaces by modulation of their crystalline orientation. Main supervisor: Rocio Rojas-Hernandez. Co-supervisor: Irina Hussainova.

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Chemical reactions in heterogenous solid-liquid systems will be modelled using a combination of quantum chemistry, molecular mechanics and fluid dynamics approaches. Systems relevant for carbon dioxide capture and storage will be the primary subject of research.

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This PhD project will contribute to the development of an innovative, customized and efficient building integrated photovoltaic technology based on kesterites Cu2ZnSn(S,Se)4 being the most promising sustainable emerging thin film solar cell materials. The project focuses on the defect engineering in kesterite absorber.

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The current study aims to use advanced modeling approaches where genome-scale models are combined with enzymatic and thermodynamic constraints, to understand the growth laws and energy metabolism of various Crabtree positive and -negative yeast strains.

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We are looking for a PhD student to work on Brain-Computer Interfaces in the human-robot collaboration topics with two groups: 1. Smart Industry research group; 2. Automated Production Systems and Real-Time Monitoring and AI Models research group.

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The PhD research includes synthesis of macrocycles and cavitands that are able to tune their structure in response to external stimuli. The project will aim to synthesize compounds that can make advances in the fields of drug discovery and delivery and sensors.

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The doctoral research project uses DT and VR/AR technologies as an experimental environment and develops AI and ML algorithms to enable the virtual industrial equipment's self-learning. Work will be in two groups - Department of Mechanical and Industrial Engineering, Smart Industry Research Group and Virumaa College, innovation centre ViDRIK

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The aim of this project is to covert egg shells and their constituents into bulk amorphous calcium phosphate for biomedical applications. The consolidation of the amorphous precursor may be carried out using powder technology and/or additive manufacturing technologies to produce micrometer sized interconnected porosity.

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The aim of this project is to study in detail how energetics affects the signaling pathways in skeletal and heart muscle tissue. You will learn interdisciplinary skills combining experimental and theoretical approaches to extract as much information as possible from your data.

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The Academy of Architecture and Urban Studies at Tallinn University of Technology (TalTech) invites applicants for a 4-year PhD position in the field of Urban Innovation and Smart City Development. The PhD candidate is expected to apply qualitative research methods to develop new insights into the unfolding, assemblage, and governance mechanisms of sustainable smart city transitions. This PhD position is full-time and fully funded. Funding for this PhD Project is provided by the Horizon 2020 European project FinEst Twins (Funded under: H2020-EU.4a, Overall value: €32 million, Duration: 2019-2026). The PhD position is part of this prestigious European project, which aims at establishing a new multidisciplinary Smart City Center of Excellence in Estonia and is the result of a joint venture between Tallinn University of Technology (Estonia), Aalto University (Finland), and Forum Virium Helsinki (Finland). Hosted at TalTech, the Smart City Center of Excellence will boost smart city research and translate scientific results into real-life innovations, by supporting the design, experimentation, and scale up of user-driven smart city solutions to urban challenges. In order to achieve this aim, the Center will mobilize all leading smart city actors and stakeholders in Estonia and facilitate the establishment of innovation partnerships with the counterparts from the Helsinki region, in an effort to capitalize on the scientific research, innovation and entrepreneurship potential of the Finnish-Estonian macro region. The Center will also establish solid collaborations with existing world-leading smart city centers. The four-year PhD position at TalTech will make it possible to conduct research under the supervision of experienced professors and researchers working in the field of smart city transitions. The proposed project is highly international, and the successful candidate will have the possibility to engage with a broad network of leading universities and research centers which are already collaborating with the supervisory team. These collaborations include representatives of Massachusetts Institute of Technology, University College London, City University of Hong Kong, The University of Edinburgh and Erasmus University Rotterdam, just to name a few.

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In this position, the PhD candidate will study the Digital Twin (DT) concept and services provided by implementing DT to the actual application, on the example of autonomous electric vehicle (AEV) propulsion drive.

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The project belongs to the general area of Service Management and Marketing, but is – more specifically – positioned at the meeting point of Service, Relationship, and Strategic Marketing as well as Data Management and / or Data Mining. Most importantly, the project seeks to build upon and extend critical scholarship on services.

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The PhD project will focus on the design, synthesis and application of multifunctional enantiomerically pure organocatalysts. New catalysts possess several halogen bonding and hydrogen bonding sites mimicking active site of enzymes.

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The PhD candidate will learn about the Digital Twin (DT) concept and its possible application in portable Energy Storage Systems (ESS) within this thesis. Department will provide the necessary equipment to develop a test bench and DT. Candidate will be responsible for developing, verifying, and implementing the models of different ESS components.

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Objective of this research is to assess the applicability of different measurements to enable reliable and usable asset management approaches considering the actual substation asset condition, and analyse the asset management approaches and develop methodology to include actual asset condition and its ranking to asset management process. Supervisor: professor Jako Kilter (TalTech), Co-supervisor: Mart Landsberg (Elering AS)

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A PhD position supervised by Tallinn University of Technology and Aalto University on the topic of local electricity markets. The aim of this research is to increase economic feasibility of microgrids and prosumers through increased participation in ancillary service markets and enabling prosumers to provide electricity grid services.

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The overall goal of the project is to examine the opportunities and pitfalls involved in using experimental approaches for promoting institutional innovations in the domains of fiscal and financial policy. The project addresses the following research questions: What are the main expected benefits and challenges of using experimental approaches more extensively in the domains of fiscal and financial policy? How successful have been the previous or ongoing experiments in those policy areas? How to improve the use of experimental approaches in fiscal and financial policy-making?

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