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Gdansk University of Technology Featured PhD Programmes
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Engineering (copyright) PhD Projects, Programmes & Scholarships

We have 34 Engineering (copyright) PhD Projects, Programmes & Scholarships

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We have 34 Engineering (copyright) PhD Projects, Programmes & Scholarships

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Using deep learning for weed detection

Although the deep learning area has made a major breakthrough in the latest developments, there are still numerous challenges that have to be resolved when working with real-world data. Read more

Brain wave analysis and modelling with graph signal processing

Brain wave analysis and modelling is an increasingly important research area, not least because of its applications in bio-medicine, rehabilitation, and next-generation human-computer interfaces. Read more

Digital Stone: Robotic Construction of a Masonry Arch Bridge

Stone bridges and buildings were widely built up until the 1920s. They last for hundreds - and in many cases thousands of years, for example those built by the Romans. Read more

Deep learning methods in multi-omics data analysis for critical disease

Personalised treatment is a new and strategic approach to separating patients into different groups based on their personal response or risk of disease so that treatments can be tailored to the individual patient. Read more

Digital twin in continuous UF/DF step of bioprocess

Continuous technology represents the future tendency of biopharmaceutical processing. Compared to the batch process, the continuous process has benefits of reduced cost, increased productivity, improved product quality and flexibility. Read more

Machine learning for decision making: how to choose the optimal strategy for stratified medicine life cycle

Stratified medicine is at the cutting edge of a new era in healthcare, which targets to a specific patient population on the basis of a companion diagnostic (such as a biomarker) to predict treatment efficacy or adverse side effects. Read more
Last chance to apply

Role of centriolar proteins in invasion

Primary cilia are microtubule-based organelles that detect mechanical and chemical stimuli. Although cilia house a number of oncogenic molecules (including Smoothened, KRAS, EGFR, and PDGFR), their precise role in cancer remains unclear. Read more

AI-based End-to-End (E2E) Directional network slicing with guaranteed QoS over a highly dynamic network

The purpose of this research is to develop autonomously managed slicing of network resources in 5G/6G Networks that are expected to support many use cases ranging from autonomous vehicles, e-health, industry 4.0, entertainment, transport, smart cities etc. Read more

AI system for Vehicle to Grid power management

Artificial intelligence and machine learning approaches have been utilised for managing power systems, however, the introduction of the electric vehicle made power management more difficult due to the charging and utilisation of individual vehicles. Read more

Distributed energy resources optimisation

An urban or domestic district energy system typically consists of micro wind turbines (WT), PV panels, heat pumps (HP) and vehicle to grid (V2G) system for the residents. Read more

Using deep learning for weed detection

Although the deep learning area has made a major breakthrough in the latest developments, there are still numerous challenges that have to be resolved when working with real-world data. Read more
Last chance to apply

Physics-based Modelling of Microstructure Evolution in High-strength 6xxx Aluminium Alloys: EPSRC Industrial CASE PhD Studentship 2022

Applications are invited for one full-time EPSRC Industrial CASE (ICASE) PhD studentship for the project “Physics-based Modelling of Microstructure Evolution in High-strength 6xxx Aluminium Alloys”, at Brunel Centre for Advanced Solidification Technology (BCAST), Brunel University London, starting from 1st October 2022. Read more

Dispersion strengthened alloys for automotive engineering

Brunel Centre for Advanced Solidification Technology (BCAST). PhD Studentship . Applications are invited for a PhD studentship for the project “Dispersion strengthened alloys for automotive engineering”. Read more

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