Tenure-Track Faculty Positon in Big Data Analytics at UMONS
by Tom MENS
Full-time Tenure-Track Faculty Positon in Big Data Analytics at the University of Mons
*** Application deadline = 14 February 2018 ***
http://informatique.umons.ac.be/job_offers
The University of Mons announces the opening of a full-time tenure-track faculty position at the assistant professor level. This positon has a start date of September 1, 2018. In a first stage, the person will be appointed for a period of three years, which can be extended with two extra years. The definitive appointment will be decided during or at the end of this period. The appointed person will take the lead of a new research group in the Department of Computer Science in the Faculty of Sciences.
Qualified candidates must have a doctorate in disciplines related to computer science or computer engineering, and should have an outstanding research record in the field of Big Data Analytics. The selected person will develop research and teaching activities in this domain, will collaborate with existing research groups of the Department of Computer Science, and will be active in fundraising for industrial and governmental projects.
The teaching duties include the following:
• teaching activities in big data analytics (30 hours of lectures + 15 hours of practical work) at the Bachelor level in Computer Science;
• teaching activities in big data analytics (30 hours of lectures + 30 hours of practical work) at the Master level in Computer Science;
• teaching activities in seminars in Computer Science (30 hours of seminars) at the Bachelor and Master levels in Computer Science.
Some of these teaching activities are also part of the curriculum in Mathematics, both at the Bachelor and Master level, and can be taken by students in other disciplines. Additional teaching duties will be assigned so that the appointed person will eventually have the same teaching load as other faculty members in the Department of Informatics. The appointed person will also be active in teaching activities at the campus of the University of Mons in the city of Charleroi, in the evening Master program in Computer Science. The appointed person should be capable to teach in the French and the English language. An appointed person who is not francophone, should be capable of teaching in the French language within a period of at most two years, starting at September 1, 2018.
According to the Belgian law, candidate letters, written in the French language, with a summary of titles, should be sent, by registered letter with request for acknowledgement of receipt, to:
Monsieur le Recteur de l’Université de Mons, Place du Parc, 20, B-7000-Mons, Belgique
*by 14 February 2018 at the latest* (i.e., within 30 days of the official publication of this position in the “Moniteur belge” on 16 January 2018).
Candidate applications should include the following documents: a motivation letter, curriculum vitae, a list of publications (which should be electronically accessible), a plan for research in Big Data Analytics (maximum five pages), a statement outlining the candidate’s view on teaching (maximum five pages), transcripts of diplomas, a copy of the five most important publications, the names and addresses of three international experts that can serve as references.
All additional information can be obtained from Prof. Christian Michaux, Dean of the Faculty of Sciences (doyen.fs(a)umons.ac.be<mailto:doyen.fs@umons.ac.be>), and from Prof. Véronique Bruyère, Head of the Department of Computer Science (veronique.bruyere(a)umons.ac.be<mailto:veronique.bruyere@umons.ac.be>).
5 years, 10 months
EXTENDED SUBMISSION DEADLINE: Call for Papers - 1st Workshop on Life with Wearables in Smart Rooms (LIFEWEAR2018)
by Karsten Wendt
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CALL FOR
PAPER
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1st Workshop on Life with Wearables in Smart Rooms
(LIFEWEAR2018)
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Website:
http://st.inf.tu-dresden.de/LIFEWEAR-2018
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In conjunction with the Smart System Integration Conference 2018 in
Dresden, April 11, 2018
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With the advent of standard sensor-actuator platforms for wearable devices,
such smart watches (e.g., Apple Watch), smartglasses (e.g., Microsoft
Hololens), smart clothing (e.g., data gloves), exoskeletons, and many more,
people carry multiple devices simultaneously. This trend imposes completely
new challenges to software engineers w.r.t. adaptivity, distribution,
interaction, system integration, data handling, resiliency, security,
software architectures and software evolution.
In our understanding, future wearable systems will be highly dynamic w.r.t.
a) the involved hardware components, as the user can change the components
freely and independently b) the context, as it can be decided to change or
switch the use case or the technological environment, and c) the software,
as also the applications evolve quickly and the underlying software systems
for the wearables require technologies for continuous adaptions and updates.
Software engineering helps to design and develop complex systems by
automating the development process concentrating on different levels of
abstraction. Model-driven techniques must be established to improve the
quality (e.g., re-usability, reliability, maintainability) of the developed
wearable systems.
Because hardware and software interact tightly, new skills and processes
are required when designing and implementing solutions based on wearable
devices. In addition, the integration of wearable devices with other smart
devices installed in the environment (e.g., sensors in a room) requires
that the system architecture is highly dynamic. Therefore, there is a need
for a new paradigm of software and system development for wearables in
smart rooms, based on sensor nets, fog, and edge computing. This trend
suggests establishing a new joint community of researchers from sensor nets
and software engineering.
The LIFEWEAR workshop aims to bring together researchers and practioneers
from the communities interested in wearables, to present current approaches
w.r.t. software engineering of wearable devices, gather requirements for
future wearable systems and develop a roadmap for software enginnering for
wearables.
This includes the following research areas
■ Model-driven software development for wearable systems
■ Innovative interaction approaches of humans with wearables
■ Interactions of wearables with machines (e.g., robots)
■ End-user application development
■ Embedding of wearables into a fog or edge of a smart room
■ Sensor data analytics and data aggregation
■ Technical approaches to ensure data security and privacy
■ Total cost of ownership of wearable systems
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IMPORTANT DATES
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EXTENDED SUBMISSION DEADLINE - January 28th, 2018
Submission Deadline - January 28th, 2018
Notification - February 11th, 2018
Camera Ready - March 11th, 2018
Workshop - April 12th, 2018
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SUBMISSION INFORMATION
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Papers should be submitted electronically in PDF format via EasyChair (
https://easychair.org/conferences/?conf=lifewear2018). Submitted papers
must conform to the Lecture Notes in Computer Science (LNCS).
Submissions to the workshop are possible in two categories:
■ Regular Papers schould describe original work on a problem or solution
w.r.t the described topics of interest on up to fifteen pages.
■ Interested workshop participants will have to submit a position paper
(two to four pages) containing a description of the area of research,
specifc work on the workshop topic, and the innovative character of the
research.
The accepted papers will be digitally published in the CEUR Workshop
Proceedings.
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ORGANIZERS
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Karsten Wendt, Technische Universität Dresden
Uwe Aßmann, Technische Universität Dresden
Maria Piechnick, Technische Universität Dresden
For more Information please visit http://st.inf.tu-dresden.de/LIFEWEAR-2018/
5 years, 11 months