TEAGASC PHD WALSH FELLOWSHIP OPPORTUNITY “The application of Robotics and Sensors for Post-Process Evaluation and Optimal Rehydration of Dairy Powders” Walsh Fellowship Ref Number: 2019202
Apply now: www.teagasc.ie/media/website/about/walsh-fellowships/2019202_WF_advert.pdf
The PhD Fellowship is a joint research project between Teagasc Moorepark and the department of Electronic Engineering, Maynooth University. The student will be based at the Teagasc Food Research Centre (TFRC), Moorpark, Fermoy, Co. Cork and will be registered at Maynooth University, working under the supervision of Dr Rudi Villing in association with Teagasc supervisor Dr Norah O’Shea.
The PhD will be awarded by Maynooth University. The Fellowship will start the 1st of October 2019 and funding is €22,000 per annum and includes University fees of up to a maximum of €6,000 per annum and is tenable for 4 years.
Further Information/Applications Contact Dr Norah O’Shea, Teagasc Food Research Centre, Moorepark, Fermoy, Co. Cork, Rep of Ireland. Email: firstname.lastname@example.org / 018059717
Submit an electronic copy of curriculum vitae and a letter of interest with names and emails of two academic references simultaneously to: Dr Norah O’Shea at email@example.com and Dr Rudi Villing at firstname.lastname@example.org. Closing date 5.00pm on 12th July 2019
PhD Studentships in the Hamilton Institute for Mathematics, Communications and Computation
Applications are invited for a number of fully funded full-time EU PhD studentships available at Maynooth University (Ireland) in the area of Bayesian machine learning supervised by: Professor Andrew Parnell CStat, Hamilton Institute, Maynooth University
Research areas include: Bayesian additive regression trees, multivariate factor models, anomaly detection, and closed-loop control theory. Company partners include IBM and Clavis Insight. Further application areas include bioinformatics and environmental monitoring.
Candidate Profile: Applicants should be prepared to start between July and October 2018, and have a thorough grounding in Bayesian statistics and R.
Scholarship details: Each PhD studentship comprises a tax-free stipend of EUR18.5k over 4 years, a computing budget, and a generous travel allowance. All queries should be addressed to email@example.com.
The Hamilton Institute for Mathematics, Communications and Computation
Founded in 2001 with support from Science Foundation Ireland, the Hamilton Institute has been internationally recognized for its work across communication networks, mathematical biology and fundamental mathematics. Current areas of interest for the institute include the improvement of privacy in online systems, the application of probability to immunology and the enhancement of randomised network protocols. Graduate education has always been a core activity of the Hamilton Institute with 35 PhD students and 17 MSc (Research) students graduated since 2003. The institute, in collaboration with the Centre for Telecommunications Value Research (CTVR) in Trinity College Dublin, established the Network Mathematics Graduate Programme (funded under PRTLI 4) and was actively involved in the national Telecommunications Graduate Initiative (funded under PRTLI 5). Further information on the Hamilton Institute is available at www.maynoothuniversity.ie/hamilton
The Psychology Department has a range of research opportunities open to PhD and MSc prospective students. Please visit the Psychology Department website for more information.
Maynooth University is seeking an ambitious EU Marie Curie Early Stage Research to work as a contract employee. The candidate will enroll in the university's strucutred PhD programme under the supervision of Prof. Ken Duffy (Hamilton Institute). Tuitions fees will be covered by the programme. The salary will be set at €3,530 per month (Tax deductible). For more information please click on link.
Euraxess PhD Opportunity Eu Initial Training Network
National Centre for Geocomputation
U-Flyte Funded PhD Projects
U-Flyte Strategic Partnership
Funded by Science Foundation Ireland and involving collaboration with Industry partners including Airbus, Irelandia Aviation and Intel, U-Flyte is a R&D partnership, established to tackle the current global logjam impeding the wider development of drone operation and rollout of commercial services. The research work-plan is based around a series of inter-connected work-packages that deal with the development of novel airspace modelling tools and drone traffic management systems – also known as U-Space and Unmanned Traffic Management (UTM) systems. Advanced flight-testing is carried out at Waterford Airport and selected mobile locations across Ireland. Drone services including mapping, monitoring and logistics. Specialist aerial support services will also be developed and tested using real-world, end-use case scenarios. U-Flyte comprises Geospatial Scientists, Software Engineers, Mathematicians, Domain Specialists and Drone Operations personnel, working with the latest Vertical Take-off and Landing (VTOL) and hybrid drones, sensors (Optical, LiDAR, Navigation, Radar) and cloud computing resources. At the heart of U-Flyte is advanced computational expertise including autonomous navigation, Machine Learning and Geospatial Analytics all dedicated to developing the next generation of Beyond Visual Line of Sight (BVLOS) autonomous drone services.
U-Flyte now wishes to recruit PhD candidates to join this aerial robotics team based within the National Centre for Geocomputation (NCG), an established research centre at Maynooth University. We would especially like to hear from candidates with good primary degrees in Computing or Mathematics interested in developing careers in Aerial Robotics, Machine Learning, Computer Vision & Geospatial Data Analytics. If you feel you have the right background and want to know more – please get in touch.
- 3D Pathfinding & traffic management architectures for large-scale urban drone operations
This project focuses on the creation of new U-Space models & UTM systems designed to handle large numbers of autonomous drones carrying out a variety of data gathering, logistic and robotic activities in urban environments. This PhD will explore various algorithms and models that are required for constructing these new airspaces and enabling optimal traffic routing and overall management.
- Developing automated risk analysis and modelling tools for drone operations
Drone operation will always result in risk to varying degrees and both static and dynamic sources of risk need to be measured, classified and ultimately understood. Static risk includes vulnerable zones such as school yards, car-parks and exposed recreational parks. Dynamic risk includes weather and indeed other drones in flight. This PhD will deal with developing new methodologies and computational models to record, analyse and model risk as a fundamental input to U-Space/UTM system design.
- Sensor fusion for innovative Aerial and Ground based Detect and Avoid (DAA) systems
At the heart of this PhD will be the principle that drones can only fly safely,
undertaking BVLOS operations, if all relevant aspects affecting flight safety are known. One key part of this is emerging optical, radar and RF-Sensor technology for detecting, locating and tracking both fixed and dynamic obstacles at low altitudes. This PhD will focus on how these new emerging technologies can be fused and analysed using the latest Machine Learning techniques to allow drones to fly autonomously over cities, towns and farms, along critical infrastructures and coastlines.
- Adaptable Machine Learning techniques for dynamic aerial scene understanding
Drones are capable of flying for more than an hour, covering tens of kilometres in distance, recording GigaBytes of combined optical and navigation data. Automated classification and measurement of man-made and natural features will become an increasingly important role for data-gathering drones. This PhD will investigate novel Machine learning (ML) tools and methodologies for identifying objects and activities in real-world scenes. These new ML tools will be tested and assessed for a variety of mapping, monitoring, defect inspection and anomaly detection tasks.
Please contact Dr. Lucy Cradden, U-Flyte Project Manager at firstname.lastname@example.org to discuss further.
U-Flyte Doctoral Scholars will receive an annual (tax-free) stipend of €18,000 (paid monthly) and tuition fees over the 4 year PhD duration, will be paid at the EU rate, directly by the project.
Scholars will have a dedicated work-space/I.T. within the NCG’s postgraduate area and join an experienced team operating in an innovative, dynamic environment.
PHD OPPORTUNITY AT ICARUS, DEPARTMENT OF GEOGRAPHY, MAYNOOTH UNIVERSITY, KILDARE, IRELAND
The Irish Climate Analysis and Research Units (ICARUS) at Maynooth University are seeking to recruit a funded PhD student in the area of physical oceanography and climate. The student will work as part of the A4 project.
The A4 (Aigéin, Aeráid, agus athrú Atlantaigh—Oceans, Climate, and Atlantic Change) project is targeting three areas of physical oceanography and climate research: understanding Atlantic variability and its connection to the Irish shelf advancing knowledge of Irish sea-level change in an Atlantic context; and development of predictive capacity on decadal timescales.
Project title: Understanding the role of the European Shelf Edge Current in a changing climate (Supervisors: Dr Gerard McCarthy, Maynooth University and Dr Martin White, National University of Ireland, Galway)
This project will involve understanding the role of the European Shelf Edge current in climate, especially with regard to changing Atlantic ocean circulation and sea-level rise. The project will use autonomous ocean-going drones known as gliders to observe the shelf-edge current. The student will use these new data together with wider observations and model simulations of Atlantic circulation and climate to understand the changing Atlantic and its implications for climate, particularly in northwest Europe.
The candidate will work in Dr Gerard McCarthy’s research group in physical oceanography and climate at ICARUS, Maynooth University, with co-supervision from Dr Martin White of Earth and Ocean Science, NUIG. The position will be part of the wider group funded by the Marine Institute for the A4 project involving Trinity College Dublin and the Hamilton Institute in Maynooth University. The student will also work closely with international partners and spend at least on extended research visit to the glider facility at the Scottish Association for Marine Science.
All applicants must have:
· Relevant 2:1 degree (or higher) in Geography/Geoscience, Environmental Science, Physics, Mathematics, Engineering, Computer Science, Statistics, or similar qualification
· Experience of coding in one or more of Matlab, C, R or Python
· Excellent written and verbal communication and presentation skills in English
· Medical fitness sufficient to pass minimum requirements for seafaring (ENG1)
The studentship is for 48 months and include a tax free stipend of €18,000 p.a. and the payment of academic fees up to a maximum of €6,200 per annum, as well as a computer and travel allowance.
Application Procedure: send a curriculum vitae and a cover letter to email@example.com with A4 PHD in the subject line.