Two fully funded PhD Positions for Real-time Data Analytics
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PhD Positions in Real-time Data Analytics & Semantic Interoperability Insight Centre for Data Analytics
NUI Galway
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Applications are invited from suitably qualified candidates for two fully funded PhD positions with the Unit for Reasoning, Querying and IoT Data Analytics, Insight at the National University of Ireland, Galway.
We are seeking for the candidates interested in pursuing a PhD in the area of real-time data analytics and stream processing over Internet of Things (IoT) infrastructure,
The focus of research in the unit for Reasoning, Querying and IoT Data Analytics is to apply Semantic Web and Linked Data techniques in the area of reasoning for knowledge discovery, query optimization to improve performance of data oriented applications, and real-time data analytics over large-scale IoT infrastructure for multiple domain including smart manufacturing, smart cities, and smart farming.
Both PhD positions are funded by the SFI Research Centre Grant and are available from as soon as possible for a period of 3 years (extendable up to 4 years). Successful candidates will receive a monthly stipend (tax free) of EUR 1500. Additionally, university annual fees will be paid by the Insight Centre.
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PhD Position 1: Semantic Interoperability and Real-time Data Analytics for Smart Manufacturing
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The successful candidate will be expected to research in the area of data analytics ,IoT, stream processing and semantic interoperability with an application domain of smart manufacturing.
The key focus on the research will be designing algorithms and techniques for real-time data analytics over sensor data streams, machine-to-machine communication and application design to tackle real-world problems faced by the manufacturing industry. During PhD studies, the student will be gaining a good experience of working closely in the academic as well as in the industrial environment simultaneously.
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PhD Position 2: Knowledge Extraction and Real-time Data Analytics for Smart Cities
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The selected candidate will pursue his/her research on applying knowledge discovery and reasoning techniques to process big data sets, mostly time series data generated through IoT devices. The key focus area of this PhD will be on designing algorithms and techniques to extract knowledge from IoT infrastructure deployed in smart cities. The selected candidate will work on building real-time data analytics pipeline for smart cities applications.
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Requirements for Both PhD Positions
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Essential Skills
- Masters degree in computer science or relevant field.
- Good communication skills in English
- Can demonstrate exceptional programming skills (industry experience is a plus)
- Meet all requirements for admission in PhD studies at NUI Galway (http://www.nuigalway.ie/media/graduatestudies/files/university_guidelines_for_research_degree_programmes.pdf)
Additional Skills
- Knowledge of broad area of Semantic Web, Linked Data and Internet of Things.
- Demonstration of critical thinking capabilities e.g. published research papers.
- Knowledge of any of the large-scale big data and stream processing platforms will be a good plus.
- Abilities to convert research outcomes into prototype demonstrations for a general audience.
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Insight Centre for Data Analytics
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INSIGHT @ NUI Galway is an internationally recognized institute of 130 people that focuses on research in Big Data, Linked Data, Semantic Web and Web Science.
INSIGHT@NUI Galway is based in Galway, one of the most beautiful Irish cities shaped by artistic communities, active student life, innovative industry and leading edge research. Galway is located at the beautiful west coast of Ireland within the Galway Bay, 'between' Europe and the U.S., making it an ideal hub for national, European and international research.
Further information about Insight Centre for Data Analytics is available at http://www.insight-centre.org/
Informal enquiries concerning the post may be made to Dr. Ali Intizar at [email protected]
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To Apply:
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Applications to include a covering letter, CV, and the contact details of three referees should be sent, via e-mail (in word or PDF only) to [email protected]. Please include "Application-PhD-Position 1/2" in the subject line of email application.
Closing date for receipt of applications is 5.00pm (GMT) on 31st May, 2018. Interviews will be conducting on rolling basis, so candidates are encouraged to apply ahead of the above deadline.
National University of Ireland, Galway is an equal opportunities employer.
Postgraduate Scholarships in ICT
Đây là trang web giới thiệu đến các bạn cơ hội học bổng trong và ngoài nước
Thông tin về học bổng du học sau đại học tại các đất nước phát triển trên thế giới, học bổng chủ yếu về những ngành nghề mũi nhọn về công nghệ và quản lý.
22/05/2018
Post-doc/PhD positions in Neural Machine Translation (CIS, LMU Munich)
Candidates will focus on cutting edge research into using deep learning techniques to solve machine translation (neural machine translation). The group is a well-known machine translation research group with strong interests in related natural language problems. The working language of the
group is English, no knowledge of German is required.
Three positions are available (one post-doc position and two PhD student positions), with a target starting date of October 2018. In addition, I am looking for early expressions of interest in a further possible post-doc position (see below).
Position 1 is for a funded full-time post-doc on my European Research Council Starting Grant.
Position 2 is for a funded full-time PhD student on my European Research Council Starting Grant.
Position 3 is for a local unfunded PhD student. The candidate is already working externally in the Munich area, and wishes to carry out research for a PhD degree.
I am also looking for early expressions of interest in a possible full-time post-doc in Summer 2019. The candidate should have been working outside of Germany and be interested in moving to Munich in the Summer of 2019. Please contact me for further details.
All candidates will have possibilities to teach, supervise
bachelors/masters students, and to collaborate on grant applications, as appropriate. Post-Docs may also participate in the supervision of doctoral students.
There is significant interaction with the research groups of Hinrich Schütze (deep learning and a variety of NLP problems) and Helmut Schmid (neural machine translation, parsing, tagging, morphology). We also have several active collaborations with colleagues at other universities.
The University of Munich is one of the top research universities in Europe. It was the highest ranked institution on several measures in the Exzellenzinitiative funding program organized by the German national science foundation in 2012.
Munich and the Upper Bavaria area are among the regions in Europe with the highest quality of living. The area is also home to a large number of high-tech, service and manufacturing companies, including many that use NLP technology.
If you are interested in applying please send me:
* a cover letter. Indicate which position you are applying for and include possible starting dates.
* a CV
* a statement of research interests
* (post-doc position): a brief statement of teaching experience and interest
* the names and addresses of two references
If you have questions about these positions please feel free to ask (please include a CV).
LMU is an equal opportunity employer and is committed to increasing the diversity of its staff. We strongly encourage applications from qualified women. Applicants with disabilities will be given preference in case of equally qualified candidates.
Contact:
Email: [email protected]
Web: http://www.cis.uni-muenchen.de/~fraser
Prof. Dr. Alexander M. Fraser I am the coordinator for the Masters in Computational Linguistics at LMU Munich. This is a mostly German language program (however, in addition to German, you must also have a strong competency in English). For more information about immatriculation in the program, please see this link. If you have....
22/05/2018
PhD Scholarship Data-driven Runtime Process Performance Improvement (1.0 FTE) (B062218)
Scholarship opportunities:
The Information Systems Group at the Computer Science Department has a vacancy for a PhD student for a project funded by the University of Groningen. Candidates are invited to write and develop their own research project within the scope of the proposed topics listed below. Being part of a cutting-edge research programme, they will receive excellent training in the form of hands-on instruction, advanced courses and summer/winter schools, complemented by workshops on generic research and transferable skills as well as teaching training. As a PhD candidate, you are committed to conduct independent and original scientific research, to report on this research in international publications and conference presentations, and to describe the results of the research in a PhD dissertation, to be completed within 4 of years.
Scope and Topics of Interest:
The scope of the research work is to identify and exploit synergies of the fields of BPM, Data Analytics and Adaptive (Service-based) Systems, and develop approaches for improvement of business process performance by embedding decision support into running business process/workflows.
Relevant application fields are as follows, but not limited to, commercial and humanitarian logistics, supply chain management, healthcare, and smart industry.
We are looking for candidates interested in both conceptual work as well as software engineering and development with interest in research in the synergies of:
* Business Process Management and Workflow Technology
* Data-driven Adaptation of Workflows
* Workflow monitoring and performance measurement
* Service Oriented Computing
* Information Systems, Distributed Systems and Middleware
* Data Science and Machine Learning
* Internet of Things.
Supervision:
The PhD Student will be supervised by Prof. Dr. Dimka Karastoyanova.
Qualifications:
Successful candidates will have completed a Master?s degree (or equivalent) in the field of computer science, information systems, distributed systems, software engineering or another field of science relevant for the position. They have good command of English (oral and written), are enthusiastic and have the ability to work in an interdisciplinary team, have a passion for science, are highly motivated to work in the exciting area of research data-driven process performance improvement, possess excellent communication skills and an affinity for writing scientific papers and delivering presentations.
Conditions:
The PhD student will be enrolled in the PhD Scholarship Programme and receive a scholarship of ? 2,099 per month (gross) from the University of Groningen for a period of 4 years. Information about the terms and conditions of the PhD Scholarship Programme can be found via: https://www.rug.nl/education/phd-programmes/phd-scholarship-programme/
The scholarship PhD student will participate in the Graduate School of Science training programme for PhD students and will draw up a personal training and supervision plan together with his or her supervisor. The Graduate School also provides a progress monitoring scheme to ensure an efficient PhD trajectory resulting in a PhD thesis within 4 years. A Career Perspectives curriculum is part of the training, which aims to prepare students for their (academic or non-academic) careers after the PhD trajectory.
Application:
You may apply for this position until 28 June 23.59 h / before 29 June 2018 Dutch local time by means of the application form (click on "Apply" below on the advertisement on the university website).
Please upload your entire application as "letter of motivation attachment" by means of the application form (click on 'Apply' below on the advertisement on the university website).
The submission should contain the following:
1. a cover letter introducing yourself, describing your motivation and qualifications to conduct scientific research, your expectations of the PhD programme and your choice for the particular project
2. a full CV demonstrating academic excellence, including publications, presentations and developed software (if applicable), and a copy of your passport
3. a certified copy or scan of your MSc diploma (or equivalent; provide a certified University letter stating when your graduation will be if between the application deadline and start of the project) and academic records
4. proof of sufficient competence in English
5. names and contact details of two academic references
6. a research idea of 500 words. After the initial selection, only top candidates for each position will be invited to independently write a research proposal of approximately 2000 words in the context of the indicated research direction as listed above. The proposal should focus on the central research question, the proposed method of approaching and answering this question, as well as the project planning.
Timeline:
Deadline for application: until 28 June 23.59 h / before 29 June 2018 Dutch local time
Notification email on shortlist selection: July 10th 2018
More Information and Contact:
For more information and instructions for application go to https://www.rug.nl/education/phd-programmes/phd-scholarship-programme/phd-scholarships?details=00347-02S0006D5P
For information you can also contact Prof. Dr. Dimka Karastoyanova, Information Systems Group, [email protected]
Promotiebeurzen | Programma Promotieonderwijs | Groningen Graduate Schools | Opleidingen | Onderwijs | Rijksuniversiteit Groningen The University of Groningen has an international reputation as a dynamic and innovative institution of higher education, offering high-quality teaching and research. Balanced study and career paths in a wide variety of disciplines encourage the 30,000 students and 5,500 employees to develop their ow...
22/05/2018
Teaching Assistant / PhD Position: Mixed Reality, Data Physicalisation and -Media Solutions
The WISE research lab (https://wise.vub.ac.be/) at the Vrije Universiteit (VUS) has a vacancy for a teaching assistant / in the research team of Prof. Dr. Beat Signer (http://beatsigner.com/). The position is for a maximum duration of 6 years (3 x 2 years, with a renewal after a positive evaluation). You will be in charge of the teaching of exercises, assisting with labs and projects in the Bachelor of Computer Science (e.g. courses on Databases or Web Technologies) as well as specialised courses in the Master???s programme in the domain of Web & Information Systems (e.g. courses on Next Generation User Interfaces or Advanced Topics in Information Systems).
As part of your PhD, you are further expected to conduct research in one or multiple of the following domains:
- Mixed Reality
- Data Physicalisation
- Cross-Media Information Spaces and Architectures
- Human-Information Interaction
Qualifications:
Master in Computer Science, Master in Mathematics with a minor or specialisation in Computer Science or Master in Engineering with a minor or specialisation in Computer Science.
Application deadline: June 6, 2018
Expected start date: October 1, 2018
Detailed information for applying to this position are available athttp://beatsigner.com/vacancies/DINF-BAAP-WISE%20vacancy%20%20ENG%202018-1.pdf
Research Engineer Position, Living Analytics Research Centre ( )
The Living Analytics Research Centre ( ) is a research centre set up in Singapore Management University ( ) with Carnegie Mellon University ( ) as our strategic partner that focuses on analytics
in the fields of Urban and Community Liveability, Personalised Urban Mobility, Jobs and Skills Intelligence, as well as Smart Consumption and Healthy Lifestyle.
Candidates who join us can also expect to gain a deeper knowledge in the following areas such as Big Data Analytics, Data Mining, Machine Learning, Deep Learning, Human Computer Interaction, Urban Computing
and other relevant disciplines.
The candidate will be working on key initiatives and projects with internal or external partners in the following aspects:
- Gather requirements from project partners through discussions and correspondences
- Develop, design and implement research prototypes and test-bed systems to achieve project requirements and targets, as well as to showcase centre?s analytics capabilities
- Showcase LARC?s projects at events or conferences
- Assist other researchers to collect and extract relevant data for research purposes
Requirements
- Bachelor/Master Degree in Computer Science or relevant disciplines
- Good knowledge of Databases, Data Mining, Distributed Computing, Operating Systems
- Proficient in at least one or more of these programming languages: Java, Python, C #, C++, C
- Experience in the following technologies will be beneficial:
a.Elasticsearch
b.Apache Storm
c.RabbitMQ
d.Redis
e.MySQL, Postgresql
f.Tomcat, NodeJS, Apache, Nginx and Xampp
g.Linux Environment (CentOS 6.x, Ubuntu 14.x), Bash Scripting
h.Virtualization (VMWare, KVM, Vagrant, Docker)
i.GPU Computing and Deep Learning
-Self-motivated and able to carry out tasks independently
-Excellent team player and possess strong inter-personal skills
Interested candidates, please email your resume to us at [email protected].
Software Engineer position in Azure Big Data Query
Optimization Team
Software Engineer, Azure Big Data Query Optimization
Do you want to solve challenges that you didn???t even know existed until you get to a large size? Come join us on the Azure Big data team at Microsoft!
The Azure Big data team present interesting challenges in technologies such as data processing, cloud services, and storage. We build Microsoft's cost-performant analytics infrastructure that powers all Microsoft product groups as well as the Data Lake services on Azure. We work with various open-source technologies like Hadoop, Yarn, etc., and make contributions to these technologies. We manage exabytes of data and the computation that uses that data. You will be a part of a team of engineers powering the query optimizer for this scale. The ideal candidate should be curious about, and a bit awed by, massively distributed systems, comfortable with ambiguous and conflicting evidence, and able to prioritize diverse demands. The candidate needs to be able to collaborate effectively to best achieve objectives.
Basic Qualifications: Bachelor???s degree in Computer Science or related field, or 3+ years of industry software engineering experience. Experience with C++, C, C #, Java, or comparable language.
Preferred Qualifications: MS/PhD in related field is a plus. Background in compilers or query processing desired. ANY of the following is a plus: big data, distributed systems, formal logic, theorem proving, search & indexing, optimization, SQL programming. A high degree of self-motivation and willingness to wrestle with deep technical problems.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, s*x (including pregnancy), s*xual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].
Interested candidates please send your CV to [email protected].
21/05/2018
13 PhD positions on ICT at the University of Modena
and Reggio Emilia - UNIMORE (Italy)
We are glad to announce that 13 PhD positions are available within the International Doctorate School in "Information and Communication Technologies" - ICT (www.ict.unimore.it) of the University of Modena and Reggio Emilia - UNIMORE (Italy), promoted by the department of Engineering "Enzo Ferrari" (http://www.ingmo.unimore.it/site/en/home.html). The duration of the course is three years.
The Call is available at https://www.unimore.it/didattica/doctorate.html?ID=1050.
Of the 13 PhD available positions, 9 are covered by scholarships for a period of three years and 1 is reserved for employees of the Company specified in the Call (industrial doctorate), 3 positions without scholarship.
The deadline for application is 07/06/2018 at 13:00 (Italian time, +2GMT).
The PhD Course offers the following three curricula: Computer engineering and science; Electronics and telecommunications; Industrial Applications of ICT. The Industrial Applications of ICT curriculum is inside the Doctoral School in ???E4E (Engineering for Economics ??? Economics for Engineering)???.
Research Scope and topic of interest are available at www.ict.unimore.it/ResearchTopics.asp.
Scholarships and Benefits: The annual amount of a study scholarship is ??? 15.343. Accommodation facilities and subsidies for catering service are available. For details, see Articles 9 and 10 of the Call.
If you know good students potentially interested in applying for a position in our PhD programme, could you please forward them this information?
Thanks a lot again for your help.
Best regards,
Prof. Domenico Beneventano
(coordinator of the Computer Engineering and Science curriculum - ICT doctorate)
Ph.D. Position in Energy Efficiency and Wireless Security for Future Wireless Networks
ORGANISATION/COMPANY: University College Dublin
RESEARCH FIELD: Engineering › Electronic engineering
RESEARCHER PROFILE: First Stage Researcher (R1)
APPLICATION DEADLINE: 01/08/2018 10:00 - Europe/London
LOCATION: Ireland › Dublin
TYPE OF CONTRACT: Temporary
JOB STATUS: Full-time
HOURS PER WEEK: 40
OFFER STARTING DATE: 01/09/2018
The ongoing development of the incoming 5G networks sets out many challenging requirements, two of which are optimised energy consumption and enhanced wireless security. The two targets complement to achieve sustainable economic growth but cannot be obtained by simply modifying existing wireless communications protocols. The aim of this project is to apply advanced optimisation techniques to deliver on the two said objectives. We will draw on ultra-dense deployment of low-power transceivers such as small-cell base stations, wireless access points, remote radio heads, equipped with some distributed mechanism. Also, the project leverages unique fading characteristic of wireless channels to design protocols and mechanisms at the physical layer for enhanced wireless security.
Applications are invited for two PhD positions with the Communications & Signal Processing Group at University College Dublin, which is Ireland's No 1 university for graduate studies with a vibrant student life and a very strong university incubation program for commercialisation of research. The PhD positions generally involve developing algorithms for improved energy efficiency and guaranteed data security for future wireless networks.
Applicants should have, or expect to obtain, a first or upper second class honours Bachelors or Masters degree in Electrical, Electronic Engineering (or a related discipline), and should possess strong mathematical, analytical and programming skills. In particular, excellent background in communication theory and signal processing algorithms are also expected. Some background in mathematical programming is a plus. Excellent writing and oral communication skills are also required.
The Ph.D. positions are funded by a scholarship from Science Foundation Ireland (SFI). The scholarship covers PhD fees and includes a tax-free stipend of €18,500 per annum for four years. Conference allowances are also included in the scholarship. The PhD students also have chance to work at the research group of our international collaborators.
Applications consisting of a cover letter, curriculum vitae, and academic transcripts should be sent to Dr Nam Tran ([email protected]). The PhD positions are open until filled but the successful candidates are expected to start no later than September 2018.
REQUIREMENTS
Required Research Experiences
RESEARCH FIELD
Engineering › Electronic engineering
YEARS OF RESEARCH EXPERIENCE: 1 - 4
Offer Requirements
REQUIRED EDUCATION LEVEL
Engineering: Bachelor Degree or equivalent
REQUIRED LANGUAGES
ENGLISH: Excellent
Skills/Qualifications
Applicants should have, or expect to obtain, a first or upper second class honours Bachelors or Masters degree in Electrical, Electronic Engineering (or a related discipline), and should possess strong mathematical, analytical and programming skills. In particular, excellent background in communication theory and signal processing algorithms are also expected. Some background in mathematical programming is a plus. Excellent writing and oral communication skills are also required.
Specific Requirements
Applicants should have, or expect to obtain, a first or upper second class honours Bachelors or Masters degree in Electrical, Electronic Engineering (or a related discipline), and should possess strong mathematical, analytical and programming skills. In particular, excellent background in communication theory and signal processing algorithms are also expected. Some background in mathematical programming is a plus. Excellent writing and oral communication skills are also required.
PhD position at Cork Institute of Technology, Ireland
Applications are invited for those interested in pursuing a PhD on blockchain and energy services in smart cities at the Cork Institute of Technology, Ireland.
Addressing energy management at city level is a challenging problem that is compounded by the growing demand for energy. The traditional hierarchical architecture of energy markets together with its dependence on centralised generation is inflexible and limits scalability. Localised energy production is rapidly evolving because of distributed energy assets (solar thermal, photovoltaic and battery storage for example). This shifting landscape makes it more difficult for cites to manage their energy at a district scale and identify who are the primary consumers and prosumers. Opportunities for the energy sector view Blockchain technology as offering the ability to manage distributed energy management. Blockchain is a distributed ledger technology and is seen as a disruptive technologies with potential across many industries by enabling open and trusted exchanges over the Internet without using central servers or an independent trusted authority. Currently a large number of pil!
ots looking at the application of blockchain in the energy sector are mostly in the B2C marketplace supporting peer-to-peer energy trading and demonstrate the ability of blockchain to disrupt the current business models in the energy sector. Rather than develop another energy trading platform this PhD topic looks to investigate the application of blockchain to decentralised IoT networks for district scale energy auditing and verification, development of synchronisation protocols to support IoT network to Blockchain network interaction and to provide district scale energy services (executed via smart contracts) based on auditing for consumption, certification (for renewable production for example), traceability of energy assets and assessment of interventions, alert management for connected items and transparency of exchanges.
The Workshop on Benchmarking Cyber-Physical Networks and Systems (CPSBench) brings together researchers from the different sub-communities to engage in a lively debate on all facets of rigorously evaluating and comparing cyber-physical networks and systems. CPSBench provides a venue for learning about each other???s challenges and evaluation methodologies and for debating future research agendas to jointly define the performance metrics and benchmarking scenarios that matter from an overall system???s perspective.
The PhD position is funded for 4 years, including a monthly stipend and a travel budget to present at international conferences, workshops and seminars. The successful candidate will be hosted at the Nimbus Centre in Cork Institute of Technology, Bishopstown, Cork, Ireland as part of the SFI CONNECT Centre.
The successful applicant should hold an Honours Bachelor Degree (Level 8) with a performance equivalent to at least a second class upper division Honours in Electronic Engineering, Computer Engineering, or Computer Science or a closely related cognate area and will have excellent knowledge of some of the following: blockchain, wireless network design and optimisation, wireless/mobile communication protocols, protocol development, network management, computer simulation of wireless networks and protocols, Internet of things. Practical experience in object oriented software development is essential, experience with computer simulation and modelling of communication and computer networks and mathematical modelling is desirable. Excellent communication skills and the ability to work well in an interdisciplinary team are essential.
FUNDING/STIPEND
The studentship will cover fees up to 5,500EUR pa and a stipend of 18,500EUR pa.
CLOSING DATE
Friday, 15 June, 2018
CONTACT: Dr. Susan Rea, [email protected]
IMPORTANT
Interested candidates should apply via email to Dr. Susan Rea ([email protected]), based in the Nimbus Centre, at Cork Institute of Technology.
Early applications are encouraged. Applications should include: 1) a cover letter (1 page) explaining their interest in the project topic and mentioning any relevant background and/or experience; 2) a Curriculum Vitae. Academic transcripts and two academic references will be required after a shortlisting process takes place.
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