AARI Winter Internship May 2024 on "Biofertilizers" for Loyola College - UG Students
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AARI is the first Algal Biotechnology Training and Research Institute in Chennai. AARI is equipped with a state-of-the-art bio-analytical lab. The prime focus of the institute is to develop an industrial-ready workforce as well as algal biotechnological entrepreneurs. Moreover, AARI is bridging between academia and biotechnology industries. We do research on Microbial and Molecular Biology. Our team members are being part of many industries as consultants.
Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible. Interested and eligible applicants may submit their online application for PhD programs via the University’s Online Application Portal.
Hydrogen will be the preferable energy carrier among synthetic fuels to address the spatial and temporal separation between energy production (renewable source) and consumption. It is carbon-free and well-suited for easy and inexpensive long-distance transport and long-term storage.
Thermochemical processes (gas turbines, industrial burners) will continue to be the preferred way to convert and utilize energy. However, the use of hydrogen presents challenges because its properties are entirely different from conventional fuels. On the other hand, these properties may offer the possibility to increase the efficiency of the thermochemical processes.
This project aims to dive into the dynamics of attack methodologies (e.g., Membership Inference, Property Inference) and defensive mechanisms (e.g., Differential Privacy, Machine Unlearning) within FL environments, highlighting potential cross-disciplinary synergies. The outcomes will enhance the security, dependability and trustworthiness of AI applications.
This project will enable machines to imagine, control and leverage the auditory consequences of physical interactions with the environment. By transforming the ways in which machines make sense of life in sound, the research outcomes will be pivotal for new, emerging markets that enable robots to augment, rather than rival, humans to surpass the limitations of the human body. Therefore, the proposed research has the potential to transform and disrupt a whole host of industries involving machine listening, ranging from smart prosthetics and assistive listening technologies to maritime exploration, environmental monitoring, and autonomous vehicles.
Modern trajectory design aims to identify and exploit features in the natural dynamics to design trajectories meeting mission requirements. For the most simplified models, analytical tools can obtain preliminary orbits, but in more complex scenarios these tools do not apply. Meanwhile, advances in computational power have made computation of individual trajectories in even complex systems very fast. GPU parallelization allows generating large trajectory databases for a wide range of initial conditions.
Your PhD will be framed around the following topics.
The University is expanding its PhD research in the area of medical data analysis. We aim to implement machine learning to analyse atomic force microscopy nanoindentation data towards automated diagnosis of cancer biopsies. In addition to the research project outlined below you will receive substantial training in scientific, technical, and commercial skills.
We have developed a new method based on atomic force microscopy (AFM), named indentation-type atomic force microscopy (IT-AFM), suitable for diagnostics of osteoarthritis, cancer, and atherosclerosis. The method represents a breakthrough in diagnostics and therapy, and allows for the diagnosis of structural and functional changes in tissue-related conditions, at the nanometre scale.
You will be part of the EU-funded TAILWIND project, which aims at developing sustainable by design stationkeeping systems for floating offshore wind turbines, including novel mooring lines and anchors. Floating offshore wind energy holds immense potential for harnessing clean and renewable energy and reach the net zero objectives worldwide. However, ensuring the stability of these floating turbines under challenging environmental conditions requires innovation.
In this PHD project we aim to provide insights into the potential large-scale deployment of Quantum Secure Direct Communication technology in real-life scenarios. Following a comprehensive review of the fundamental principles of Quantum Secure Direct Communication (QSDC), free-space QSDC will be investigated. Channel coding will be harnessed to enhance the reliability of the QSDC communication link. The University of Southampton is expanding its PhD research in the area of Quantum Technology Engineering. In addition to the research project outlined below you will receive substantial training in scientific, technical, and commercial skills.
The University is expanding its PhD research in the area of Quantum Technology Engineering. In addition to the research project outlined below you will receive substantial training in scientific, technical, and commercial skills.Quantum Key Distribution (QKD) is one of the cornerstones in ultimately secure communication, leveraging the principles of quantum mechanics to establish cryptographic keys immune to eavesdropping.
While QKD itself offers unparalleled security guarantees, the integration of diverse error correction coding techniques holds promise for further enhancing the robustness and efficiency of key distribution protocols. More specifically, error correction codes could be designed to mitigate challenges such as quantum noise and decoherence, for ensuring the fidelity and integrity of transmitted quantum information.
This project will explore novel topological transport based on metamaterial or nanostructure design, aiming to deliver recipes for building topological optical devices. Topological photonics is a rising field of research that implements topological ideas with optical materials. Such topological materials support unidirectional or defect-immune electromagnetic wave propagation, which is favoured by future photonic technologies.
The project focusses on development of new metal complexes for radiofluorination for potential applications as next generation medical imaging agents via positron emission tomography (PET) – an important and widely used medical imaging technique used in hospitals and clinics for detection of diseases such as cancers. Developing new chelate scaffolds for binding radiofluorine and radiometals – towards combined theragnostic agents for imaging and therapy in medicine.
In this project, we will extend our high-fidelity multidisciplinary design optimisation (MDO) framework for the design of Boundary Layer Ingestion (BLI) fans. The proposed MDO is based on adjoint aero structural optimisation, augmented with machine learning, considering complex aero structural behaviour affected by BLI-distorted aero loads. To meet the objectives of the Paris Climate Agreement, aviation (~3% of human global CO2 emissions) must do its share. The target for air transportation is a 75% reduction in CO2 and a 90% reduction in NOx by 2050. The European Green Deal even aims to achieve climate neutrality by 2050.
13. Fully Funded PhD Position in Bioaugmentation in water/wastewater treatment to enhance the removal of micropollutants
In this project, you will investigate the key microorganisms enabling the breakdown of toxic and recalcitrant organic compounds and develop an effective bioaugmentation approach to manipulate the microbial community to enhance the biological removal of micropollutants.
Emerging micropollutants, encompassing a spectrum from pharmaceutical residues and personal care products to industrial chemicals, have been found in water sources worldwide. Their health effects and environmental impact are evident. As these pollutants persist and accumulate, addressing the multifaceted challenges they present has become imperative to safeguard both human well-being and the integrity of our natural environment.
Hollow core optical fibre waveguide geometries are becoming increasingly relevant to modern telecommunications systems, an exemplar of which is the anti-resonant fibre (ARF) structure, which can guide light in the air core using a variety of cladding architectures. Intriguingly, the high internal surface area presented by this waveguide geometry offers an ideal material deposition template for strong light-matter interaction and to this end, we have developed world leading knowledge and expertise in deposition technologies that allow a wide variety of functional materials such as semiconductors and metals to be embedded within these air-silica structures.
The aim of this PhD is to use linear-scaling DFT to explore hydrogen diffusion mechanisms and paths in actinide materials. The computation of diffusion at the DFT level will provide major new insights into the processes that happen during operation and storage. As a further target, investigation of surface adsorption of hydrogen will be carried out to understand how hydrogen enters the bulk to diffuse and how this process is affected by surface termination and conditions such as pressure and temperature, or solvents.
This project combines global health and national security, by combining miniaturised medical diagnostic testing with health data science to develop a smart mobile lab that can be deployed anywhere to support field medicine. Mobile, secure lab testing is vital for public health from outbreaks (e.g. Ebola, covid-19), to field medicine in conflict areas.
This project will investigate the production and properties of a new class of optical metamaterials which are nanostructured on the 2 to 100 nm range by a versatile bottom-up approach utilising self-assembled lyotropic liquid crystal phases of lipids and surfactants for templating. This class of materials include embodiments in which the nanostructures are fully three dimensional including one which is like interpenetrating chain link fences with “links” only a few nanometers across. The well-defined nanostructure present in these materials will lead to entirely new properties and thus they will be true metamaterials in which 40% of all the atoms are at or near a surface, i.e. an engineered metamaterial almost entirely composed of surface atoms.
This project, focussing on high-power laser architectures, will contribute to a major Ministry of Defence (MoD) research programme intended to develop generation-after-next-technologies for applications in defence and security. The project will be supervised by Prof Johan Nilsson and Dr William Kerridge-Johns at the University with support and co-supervision by Dr Adam Devine from NKT Photonics.
The development and offline testing of biometric systems (such as face and voice) relies on the presentation of a large collection of population unbiased-data. Assembling these data is often time consuming and, to be ethically valid, requires the agreement of test participants for their data to be used for research purposes.
Likewise robust testing of age estimation systems, increasingly being deployed for age restricted products and services, is of increasing importance. The generation of representative data of subjects between the ages of 12-24 will enable an assessment of systems which traditionally have suffered from a lack of accurate ground-truthed data. Generative AI (GAI) tools are rapidly advancing, enabling the creation of media tuned to descriptive parameters.
Cerebral injuries are the leading cause of neonatal mortality and life-long morbidities. The research project aims to apply an innovative technique called speckle contrast optical tomography (SCOT) with the potential to provide 3D images of cerebral blood flow in the infant brain. The conditions that lead to brain injury include hypoxia-ischemia, stroke, intracranial haemorrhage, and preterm birth and monitoring cerebral blood flow (CBF) plays a leading role in diagnosing cerebral injury.
This exciting experimental project aims to characterize the performance metrics and the flow over hydrofoils in canonical oscillatory motions at high Reynolds numbers. The work requires detailed flow diagnostics and the use of direct force/pressure measurement techniques. Bio-inspired oscillatory foil considerations promise better manoeuvrability and larger efficient performance envelopes for water-borne engineering vessels that are often characterized by turbulent, high Reynolds-number flows on the order of 1 million to 100 million.
Experience the cutting edge of unobtrusive remote sensing and its integration into our daily lives. Remote sensing is increasingly being applied in the context of smart homes and health monitoring, such as in camera-based systems. If you’d like to further develop your expertise in signal processing, machine learning, or computer vision applied to healthcare, and aspire to embed security by design in non-intrusive solutions, we can support you in your journey.
In this PhD research project, you will investigate the influence of structural openings on blast wave propagation and internal loading effects through an experimental and advanced numerical programme. You will be responsible for designing and conducting series of reduced-scale blast experiments to be undertaken at specialist explosive testing facilities based at the University of Cape Town. Professor Steeve Chung Kim Yuen from the University of Cape Town will be your additional supervisor.
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