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University College Cork - Insight Centre for Data Analytics

College: College of Science, Engineering and Food Science

Insight Centre for Data Analytics

10 PhD positions available – University College Cork (UCC)

The Insight Centre for Data Analytics (www.insight-centre.org) is an SFI funded Research Centre which brings together researchers from University College Dublin, NUI Galway, University College Cork, and Dublin City University, as well as other partner institutions, Trinity College Dublin (TCD), University of Limerick (UL), National University of Ireland Maynooth (MU) and Tyndall National Institute. It creates a critical mass of more than 400 researchers to carry out research on a new generation of data analytics technologies in a number of key application domain areas, such as Health and Human Performance, Smart Communities, Internet of Things, Enterprise and Services and Sustainability and Operations.

The €150m Centre is funded by Science Foundation Ireland and a wide range of industry and European Union partners.

Studentships are open immediately for application, to pursue research within the overall scope of the Insight Centre Programme. The Platform Research Programme comprises of seven Research Challenges along with a series of demonstrator and integration programmes within the areas of Augmented Human, Smart Enterprise and Sustainable Societies.

3 PhD positions are available in the areas of:

Combinatorial Problem-Solving & Optimisation - (CPSO)

The supervisors for these studentships are:

Prof. Barry O’Sullivan - b.osullivan@cs.ucc.ie

Dr. Steven Prestwich - steven.prestwich@insight-centre.org

Dr. Nic Wilson - nic.wilson@insight-centre.org

Applicant Expertise Requirements:

These students will have an undergraduate or taught postgraduate degree in computer science or mathematics, with strong analytical, problem solving, and software experience. Students will be expected to have some experience in constraint programming, operations research, machine learning, optimization, local search, graph theory or artificial intelligence, e.g. having undertaken an undergraduate project in one of these areas or having completed an MSc in a closely related area. Other relevant areas of expertise would be knowledge in constraint, integer or dynamic programming, or evolutionary computation or other metaheuristics, or a machine learning area such as reinforcement learning.  Some knowledge of optimisation under uncertainty would also be helpful.

If you are interested in this area of research please include the acronym of CPSO in the title of your email application to Ms. Caitríona Walsh.  i.e. “Insight PhD Studentship – CPSO”. Application details are at the end of this advertisement.

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3 PhD positions are available in the area of:

Human Sensing (HS)

The supervisors for these studentships are:

Dr. Brendan O’Flynn - brendan.oflynn@tyndall.ie….www.tyndall.ie/people/brendan-o-flynn

Dr. Paul Galvin - paul.galvin@tyndall.ie ...www.tyndall.ie/people/paul-galvin

Dr. Ian Pitt – ianp@cs.ucc.ie ... (www.cs.ucc.ie/~ianp)

Applicant Expertise Requirements:

The PhD Candidates should have an honours degree (or an MSc/MEng) in a relevant discipline)  such as Biomedical Engineering, Electrical and Electronic Engineering, Computer Science, Usability Engineering, or a related area. Candidates should  have the ability to work on new topics, proactively, independently as well as in a team, and be achievement-oriented. The students should be highly analytical, with an interest in interdisciplinary research and medicine, have good programming skills (Matlab, Python, Java, C/C++, or others) and, potentially, also interest/experience in embedded systems, wearable sensors, biomechanics, data analytics, machine learning, and/or statistics. The PhD students will have strong communication skills and be compatible with working independently as well as in a multidisciplinary team. The students should be achievement-oriented with an ability to address complex multidisciplinary technical challenges, involving materials, electronics, biochemistry and fabrication / manufacture aspects. The research will focus on wearable and/or implantable systems, aligned with clinical and industry relevant challenges, as part of a team of multi-disciplinary researchers. Specific projects will focus on the development of novel biochemical sensors for continuous monitoring of selected biomarkers related to personal health and wellness, and on the design and evaluation of the usability aspects of the resulting technologies.

If you are interested in this area of research please include the acronym of HS in the title of your email application to Ms. Caitríona Walsh.  i.e. “Insight PhD Studentship – HS”. Application details are at the end of this advertisement.

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1 PhD position is available in the areas of:

Data Analytics & Statistics (DAS)

The supervisor for this studentship is:

Prof. Finbarr O’Sullivan - f.osullivan@ucc.ie

Applicant Expertise Requirements:

Applicants should have an undergraduate degree in computer science or mathematical sciences, with strong analytical and problem solving elements. Solid grounding in data analysis, multivariate statistical methods, model building and probabilistic inference techniques. Software experience, particularly R, would be an advantage. Experience with statistical function estimation methodologies and their computational complexity. It is desirable that applicants can demonstrate an appreciation of data challenges in a practical setting, e.g. quantitative use of PET/MR/CT imaging for clinical management patients. Exposure to modern statistical machine learning methods e.g. having undertaken an undergraduate project in this area or having completed an MSc in a closely related area, is highly desirable.

Software experience is an advantage. Experience with machine learning approaches, the computational complexity of these and the statistical generalisability of these. It is desirable that the students have some exposure to statistical machine learning e.g. having undertaken an undergraduate project in this area or having completed an MSc in a closely related area.

If you are interested in this area of research please include the acronym of DAS in the title of your email application to Ms. Caitríona Walsh.  i.e. “Insight PhD Studentship – DAS”. Application details are at the end of this advertisement.

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1 PhD position is available in the area of:

Hardware for Scalable Security & Blockchains (HSSB)

The supervisor for this studentship is:

Dr. Emanuel Popovici - E.Popovici@ucc.ie

Applicant Expertise Requirements:

This student will have an undergraduate degree in electronic engineering, computer science and engineering or related discipline with a strong research interest in the space of hardware accelerators for security, data analytics and machine learning. Knowledge and experience with FPGAs/GPUs, hardware description languages (Verilog/OpenCL/VHDL/...) is also desirable. Preference will be given to students with experience in security or cryptography, e.g. having undertaken an undergraduate project in one of these areas or having completed an MSc in a closely related area.

If you are interested in this area of research please include the acronym of HSSB in the subject title of your email application to Ms. Caitríona Walsh.  i.e. “Insight PhD Studentship – HSSB”. Application details are at the end of this advertisement.

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1 PhD position is available in the area of:

Recommender Systems  (RS)

The supervisor for this studentship is:

Dr. Derek Bridge – d.bridge@cs.ucc.ie

Applicant Expertise Requirements are:

These students will have an undergraduate degree in computer science or a related discipline with strong analytical, problem solving, and software experience. The student will be expected to have some experience in machine learning or artificial intelligence, e.g. having undertaken an undergraduate project in one of these areas or having completed an MSc in a closely related area.

If you are interested in this area of research please include the acronym of RS in the subject title of your email application to Ms. Caitríona Walsh. i.e. “Insight PhD Studentship – RS”

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1 PhD position is available in the area of:

Supply Chain Modelling & Decision Making (SCMDM)

The supervisors for this studentship are:

Applicant Expertise Requirements:

Applicants should hold a good honours undergraduate or Masters degree in computer science, computer engineering, operations research, data analytics, industrial mathematics, statistics, or other relevant research areas. Ideally applicants will be able to demonstrate an interest in both mathematical modelling and software engineering skills, with a keen interest in supply chain management, logistics, inventory control, and related areas. We are especially interested in candidates with knowledge of operations research, constraint programming, machine learning and artificial intelligence.

The research will investigate the effects of different types of stochastic features -- suppliers' reliability, reliability of transportation channels, lead times, stochastic demand, uncertainty of market prices, etc. on SC systems; develop new SC strategies to mitigate risks; build new SCM models to determine policy parameters; design and implement efficient algorithms to solve these models.

If you are interested in this area of research please include the acronym of SCMDM in the subject title of your email application to Ms. Caitríona Walsh.  i.e. “Insight PhD Studentship – SCMDM”.

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The successful applicants will each receive total funding of €18,500 per annum for up to four years and an annual contribution of €5,500 towards tuition fees. Non-EU candidates may apply but they will have to cover extra fees themselves.

To Apply:

Applications by email to Ms. Caitríona Walsh at recruitucc@insight-centre.org and must include "Insight PhD Studentship [and Area Acronym]” in the subject line to be considered. Please do not apply directly to the supervisors.

Applications must include, in PDF format only:

  • Full CV;
  • A transcript of results for all university level modules and courses;
  • One-page abstract describing final year undergraduate project (if applicable);
  • One-page abstract describing MSc project (if applicable);
  • One-page abstract describing relevant work experience (if applicable);
  • 300 word statement explaining interest in research, referring explicitly to one or more of the areas listed above.

Start date: Studentships start from Oct 1st, 2019

For full particulars on the post please go to: www.ucc.ie/en/hr/vacancies/research/full-details-1059040-en.html

Qualification Type: PhD
Location: Cork - Ireland
Funding for: UK Students, EU Students
Funding amount: €18,500
£16,453.92 converted salary* - please see advert
Hours: Full Time
Placed On: 23rd August 2019
Closes: 20th September 2019
   
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