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EC-DIGEST-L  November 2017

EC-DIGEST-L November 2017


EC-Digest v31n11


Eric 'Siggy' Scott <[log in to unmask]>


Evolutionary Computation Digest <[log in to unmask]>


Fri, 3 Nov 2017 21:46:20 -0400





text/plain (685 lines)

Evolutionary Computation Digest — Friday, 03 November 2017, Volume 31: Issue 11

SUBMISSION ADDRESS:    [log in to unmask]

(UN)SUBSCRIPTION INSTRUCTIONS:  at the bottom of this email

Today's Topics:

 - 06 November: Fully funded PhD position at the University of Limerick, Ireland
 - Postdoc/PhD Opportunity at the University of California, Irvine
 - 17 November: Two 3-year postdoc positions in Computer
Science/Operational Research at Queen Mary University of London
 - 30 November: Post-Doc: Neural Networks & Heterogeneous Multi-Core
Architectures for Autonomous Cars
 - 12 January, 2018: Fully funded PhD studentship in Computer Science
with the Operational Research Group at Queen Mary University of London

 CFPs (with submission deadline)
 - 07 November: GECCO'18 Tutorial and Workshop Proposals
 - 10 November: Evostar 2018 deadline extension
 - 11 November: TPNC call for posters
 - 15 November: PPSN'18 Tutorial and Workshop Proposals
 - 30 January, 2018: GECCO 2018
 - 6 June, 2018: Call For Entries for 15th Annual (2018) "Humies" Awards
 - 15 April, 2018: International Conference on Swarm Intelligence (ANTS'18)


27 November–01 December 2017, Honolulu, Hawaii : IEEE Symposium Series
of Computational Intelligence (IEEE SSCI 2017)

08–06 April, 2018, Parma, Italy: EvoStar 2018

15–19 July, 2018, Kyoto, Japan: GECCO 2018

Sender: Conor Ryan <[log in to unmask]>
Subject: Fully funded PhD position at the University of Limerick, Ireland

Dear Colleagues,

I would appreciate you forwarding this onto anyone who may be
interested, and apologies for any cross-posting.

The Biocomputing and Developmental Systems group at the University of
Limerick in Ireland invites applications for a Postdoctoral Researcher
(closing date 6 November 2017).

The successful candidate will work within Lero (, the
Irish Software Engineering Research System, as part of a
multi-disciplinary team with backgrounds in Machine Learning, Software
Engineering, Mechanical Engineering, Electronic Engineering and Food
Engineering. This team will consist of approximately twelve people and
the project as a whole is focused on using technology to monitor and
improve animal health.

The project, “The Development of Intelligent Multi-functional
Autonomous, Adaptive and Assistive Technologies for the Agricultural
Farms of the Future” (A3TA), is a multi-institution project sponsored
by Dairymaster and involves researchers from a variety of areas such
as Machine Learning, Software Engineering, Mechanical Engineering,
Electronic Engineering and Food Engineering.  This is a unique
opportunity to work on a data analytics project with direct access to
those in charge of gathering the data and building the sensors. The
MooMonitor is a rugged data sensor that operates in a huge variety of
conditions, providing a challenging task for data interpretation and
fusion which will require the use of Machine Learning algorithms such
as Genetic Programming and Grammatical Evolution to ensure robust
performance under these highly variable conditions. The research
focuses on performing advanced data analytics and machine learning on
real world data generated by large-scale farm systems such as the
“MooMonitor” heat detection system and other herd management tools.
Data from other sensors will also be examined, with a view to
performing multi-modal predictions for animal health in real time in
real world situations.

The successful applicant will be a key member of a cross-disciplinary
research team, with specific responsibilities for being a senior
member of a research team. This work will involve design of
experiments for the project; construction of software for the
experiments; writing scientific papers; involvement with grant
applications; interacting with both academic and industrial partners;
meeting with postgraduates and meeting with undergraduates.

It is expected that this work will achieve the following:

o The creation of a Machine Learning/Data Analytics system that
processes data for animal health
oThe production of a set of recommendations for new sensors to
increase the amount and quality of data available
o Publication of scientific papers
o Newly awarded grants to extend the work
o Co-supervision credit on a PhD thesis
o Some interaction with undergraduates (limited teaching hours)

The successful candidate will contribute to the research by

o Building a data analytics system to predict animal health using
existing data from Dairymaster
o Evaluate other data sensors to improve the quality of predictions
o Recommending improvements and changes to the sensors to better record the data
o Using Machine Learning and Automatic Programming tools to build data fusers
o Co-supervising a PhD student working on the same project
o Collaborating with the Principal Investigator in team teaching activities
o Interacting on a senior level with our collaborators and spending
time with our industrial partner

The successful candidate will be required to travel between research
and industry locations in Ireland.

Potential candidates are encouraged to contact Conor Ryan
([log in to unmask]) informally to discuss the positions. Please refer
to “Postdoc A3TA” in the subject of your e-mail.

Full details of the position are available on the University of
Limerick's HR website:


Sender: Ayoub Nouri <[log in to unmask]>
Subject: Postdoc/PhD Opportunity at the University of California, Irvine

Postdoc/PhD Opportunity at the University of California, Irvine

Project Title: Conquering MPSoC Complexity with Principles of a
Self-Aware Information Processing Factory

Host: Univ. of California, Irvine, Center for Embedded &
Cyber-physical Systems, Irvine, CA, USA.

    Supervisor/Contact Person: Prof. Fadi Kurdahi ([log in to unmask])

    Co-supervisor: Prof. Nikil Dutt ([log in to unmask]).


    Postdoc: PhD degree in CS, Computer Engineering or EE from a top University.

    PhD: Master’s in Computer Science, Computer Engineering or
equivalent from a top University


    Develop and evaluate hardware-assisted runtime verification
models, architectures and tools.

    Develop evaluate machine learning-based specification mining
methods and tools.

Expected Skills:

    Familiarity with hardware-assisted runtime verification formalism,
tools and methods

    Familiarity with machine-learning algorithms

    Familiarity with specification mining methods and applications.

    Experience with FPGA tools

    Experience with multiprocessor simulators such as GEM5.

Planned visits and collaboration:

    TU Munich (Professor Andreas Herkersdorf)

    TU Branschweig (Professor Rolf Ernst)


   Ideally, candidates would be able to start in Winter or Spring 2018
for a period of 1 year with possibility of extension up to 3 years

To Inquire: Please send a CV to Fadi Kurdahi ([log in to unmask]).

Relevant publications:

Nikil Dutt, Fadi J. Kurdahi, Rolf Ernst, and Andreas Herkersdorf.
2016. Conquering MPSoC complexity with principles of a self-aware
information processing factory. In Proceedings of the Eleventh
IEEE/ACM/IFIP International Conference on Hardware/Software Codesign
and System Synthesis (CODES '16). ACM, New York, NY, USA, Article 37,
4 pages. DOI:].

Ahmed Nassar, Fadi J. Kurdahi, and Wael Elsharkasy. 2015. NUVA:
architectural support for runtime verification of parametric
specifications over multicores. In Proceedings of the 2015
International Conference on Compilers, Architecture and Synthesis for
Embedded Systems (CASES '15). IEEE Press, Piscataway, NJ, USA,

A. Nassar, F. J. Kurdahi and S. R. Zantout, "Topaz: Mining high-level
safety properties from logic simulation traces," 2016 Design,
Automation & Test in Europe Conference & Exhibition (DATE), Dresden,
2016, pp. 1473-1476

Sender: John Drake <[log in to unmask]>
Subject: Two 3-year postdoc positions in Computer Science/Operational
Research at Queen Mary University of London

Dear all,

The Operational Research Group ( within the
School of Electronic Engineering and Computer Science, Queen Mary
University of London (QMUL), invites applications for two 3-year
Postdoc positions to work on a project funded by the Engineering and
Physical Sciences Research Council looking at congestion at airports.
The project seeks to develop novel mathematical models and solution
approaches to transform the airport slot allocation process and its
associated outcomes. It also seeks to develop adaptive algorithms to
provide essential support for the complex large scale capacity
allocation problems that arise in the air transport industry.

Please see the links below for further information, the closing date
for both posts is 17th November.

Postdoctoral Research Associate (£36,677-£43,152 per annum):
Postdoctoral Research Assistant (£32,956-£36,677 per annum):

Informal enquiries should be addressed to Professor Edmund Burke
([log in to unmask]).

We are also still recruiting for a previously announced fully-funded
PhD studentship:


Sender: Smaïl Niar <[log in to unmask]>
Subject: Postdoc Opportunity

Post-Doc: Neural Networks & Heterogeneous Multi-Core Architectures for
Autonomous Cars

Post-Doctorate position Progresses in the design of CMOS circuits have made the
possibility to support very complex Machine Learning (ML) algorithms using large
data sets. For this reason, AI techniques such as Convolution Neural Network
(CNN) and Deep Neural Network (DNN) have received recently interests both in
industry and academy to implement complex applications.

In the domain of embedded systems for automotive applications, CNN and DNN have
many potential applications, especially for Advanced Driving Assistance Systems
(ADAS) and autonomous driving. These algorithms have shown high performances in
scene understanding and object/obstacle classification.

This post-doc aims to contribute in the domain of embedded system design for
Real-time and automotive applications, especially in autonomous
driving. The objective here is
to develop new heterogeneous FPGA/GPU-based multiprocessor architectures to
support complex ML algorithms. The target heterogeneous multi-core architectures
must in one hand adapt the ML algorithm and the supporting architecture to
different scenarios and on the other hand must use different CNN and DNN
configurations taking into account the different characteristics of embedded
sensors (Cameras, Lidars, Radars).

The duties also include collaboration with PhD students working on these topics
and helping to write high-impact papers and funding applications.

The post-doc is within the framework of the ELSAT 2020 project


1. Design of Multiple-Target Tracking System on Heterogeneous
   System-on-Chip Devices, G. Zhong, S.Niar, A.Prakash, T.Mitra, IEEE
   Trans. Vehicular Technology 65(6), 2016.
2. An Accelerator for High Efficient Vision Processing, Z. Du,
   S.Liu, R.Fasthuber, T. Chen, P. Ienne, L. Li, T. Luo, Q. Guo, X.
   Feng, Y. Chen, and O. Temam, IEEE Transactions on CAD of Integrated Circuits
   and Systems, 02/2017
3. Radar signature in multiple target tracking system for driver
   assistant application, H. Liu, S. Niar, IEEE/ACM DATE 2013.
4. Computer Vision for Autonomous Vehicles, J.Janai, F. Güney, A.Behl, A.
   Geiger, Datasets and State-of-the-Art. CoRR, 2017.

Required degree and skills:

 *   Ph.D in computer engineering/electrical engineering/automation.
 *   Experience in scientific journals / conference publication with
good English
   (writing and speaking).

   Knowledge/experience in one of the following matters would be an advantage:

1 Machine learning and AI techniques,

2 Signal and/or image processing,

3 Embedded FPGA-GPU-CPU systems, hardware architectures.

An application prepared in English or French should contain:

1.   CV with the list of publications.

2.   Contact information for 2 reference persons.

Salary: 2500 euros/month Deadline: 30/11/2017 Duration: 18 months
Preferred starting date: 01/12/2017 but not later than 01/02/2018

Contact: Professor Smaïl NIAR [log in to unmask]
<mailto:[log in to unmask]> LAMIH/CNRS - University of
Valenciennes, France.

Sender: John Drake <[log in to unmask]>
Subject: Fully funded PhD studentship in Computer Science with the
Operational Research Group at Queen Mary University of London

Dear all,

The Operational Research Group ( within the
School of Electronic Engineering and Computer Science, Queen Mary
University of London (QMUL), invites applications for a fully-funded
PhD studentship to work on a project funded by the Engineering and
Physical Sciences Research Council.

The successful candidate will pursue a course of research
investigating the application of computational search methods, such as
evolutionary computation and meta/hyper-heuristics, to software
engineering problems with a focus on real-world applications.

Candidates are expected to have a first class honors degree or Masters
in Computer Science, Mathematics, Operations Research or related
discipline, from a UK University or an equivalent standard from an
overseas university. The successful candidate must have a strong
programming background, as well as good analytical and communication
skills. An understanding of mathematical optimization techniques,
heuristic and hyper-heuristic search is highly desirable although not
mandatory. The studentship is for three years, and covers UK/EU
student fees as well as a tax-free stipend of around £16,500 per

Informal enquiries can be made by email to Dr. John Drake
([log in to unmask]) who will supervise the project alongside Dr. John
Woodward and Prof. Edmund K. Burke. Informal enquiries are strongly
encouraged before a candidate submits an application. This studentship
is advertised to start in September 2018, however an earlier start
date is possible in the case of excellent candidates. More information
is available at:

The closing date for the applications is 12th January 2018.

Interviews are expected to take place shortly after.


Sender: Tomohiro YOSHIKAWA <[log in to unmask]>
Subject: [GECCO 2018][One Week Remaining!] for Proposals for
Tutorials, Workshops and Competitions

2018 Genetic and Evolutionary Computation Conference (GECCO 2018)
July, 2018, Kyoto, Japan

Important Dates:

Tutorials, Workshops, and Competitions:
  Proposals:           November 7, 2017
  Acceptance Decision: December 5, 2017
Conference:           July 15-19, 2018

*** Call for Tutorials ***

Tutorials at GECCO 2018 will be presented by domain experts to cover
current topics relevant to evolutionary computation researchers and
practitioners. Each tutorial will be 110 minutes long. We encourage the
inclusion of interactive activities and demos.


*** Call for Workshops ***

GECCO workshops provide the possibility to commonly develop visions and
exchange ideas in an informal setting, especially if focused on an
emerging research field or interdisciplinary research area. In contrast
to regular sessions, workshops can (and should) host interactive
sessions (posters, discussions, demonstrations, etc.). Attendance at the
workshops will be free to all GECCO attendees.


*** Call for Competitions ***

Competitions demonstrate how Evolutionary Computation and related
techniques can be utilized in challenging practical, real-world and
gaming settings. They also enable fair comparisons between algorithms
and (for recurrent competitions) provide the possibility to follow the
development of approaches over time.


Sender: EC-Digest editor
Subject: Evostar 2018 deadline extension

The submission deadline for the Evostar 2018 conferences has been
extended to November 10th, 2017.


This month the Digest received CFPs from the following Evostar programs:


Sender: [log in to unmask]
Subject: TPNC 2017: call for posters

The 6th International Conference on the Theory and Practice of Natural
Computing (TPNC 2017) invites researchers to submit poster
presentations. TPNC 2017 will be held in Prague on December 18-20,
2017. See

Poster presentations are intended to enhance informal interactions
with conference participants, at the same time allowing for in-depth


Presentations displaying novel work in progress on computational
principles, models and techniques inspired by information processing
in nature are invited. Posters do not need to show final research
results. Work that might lead to new interesting developments is


Poster submission deadline: November 11, 2017

Notification of poster acceptance or rejection: November 18, 2017


Please submit a .pdf abstract through:

It should contain the title, author(s) and affiliation, and should not
exceed 500 words.


Posters will be allocated 10 minutes each in the programme for oral
presentation. Moreover, they will remain hanging out during the whole
conference for discussion.


Posters will not appear in the LNCS proceedings volume of TPNC 2017.
However, they will be eligible for submission to the post-conference
journal special issue in BioSystems (Elsevier, 2015 JCR impact factor:


At least one author of each accepted poster must register to the
conference by December 4, 2017. The registration fare is reduced: 285
Euro. It gives the same rights all other conference participants have
(attendance, copy of the proceedings volume, coffee breaks, lunches).
Contributors of regular papers who in addition get a poster accepted
must register for the latter independently.

Sender: Christine Zarges <[log in to unmask]>
Subject: PPSN 2018 - Call for TUTORIALS and WORKSHOPS


15th International Conference on Parallel Problem Solving from Nature
8-12 September 2018
Coimbra, Portugal

Important Dates

Proposal submission due: 15 November 2017
Notification of acceptance: 15 December 2017
Tutorials and Workshops: 8-9 September 2018
Conference: 8-12 September 2018

Sender: Andrew M Sutton <[log in to unmask]>
Subject: [GECCO CFP] [GECCO 2018] First Call for Papers - Genetic and
Evolutionary Computation Conference 2018

** Call for Papers **

2018 Genetic and Evolutionary Computation Conference (GECCO 2018)
July 15th-19th, 2018, Kyoto, Japan

The Genetic and Evolutionary Computation Conference (GECCO 2018) will
present the latest high-quality results in genetic and evolutionary
computation. Topics include genetic algorithms, genetic programming,
evolution strategies, evolutionary programming, memetic algorithms,
hyper-heuristics, real-world applications, evolutionary machine
learning, evolvable hardware, artificial life, adaptive behavior, ant
colony optimization, swarm intelligence, biological applications,
evolutionary robotics, coevolution, artificial immune systems, and

Important Dates:

Full papers (traditional category)
    Abstract Deadline:                  ** January 30, 2018 **
    Submission of Full Papers:          ** February 6, 2018 **

Poster-only papers
    Submission of Poster-only papers:   ** February 6, 2018 **

Conference:                             ** July 15-19, 2018 **

Sender: Andrew M Sutton <[log in to unmask]>
Subject: [GECCO CFP] [GECCO 2018] Call For Entries for 15th Annual
(2018) "Humies" Awards

 Call For Entries
             for 15th Annual (2018) "Humies" Awards
                for Human-Competitive Results
   Produced by Genetic and Evolutionary Computation

                      To be Held at
   Genetic and Evolutionary Computation Conference (GECCO)
        July 15-19, 2018 (Sunday - Thursday)
                     in Kyoto, Japan

Entries are hereby solicited for awards totaling $10,000 for
human-competitive results that have been produced by any form of
genetic and evolutionary computation (including, but not limited to
genetic algorithms, genetic programming, evolution strategies,
evolutionary programming, learning classifier systems, grammatical
evolution, gene expression programming, differential evolution, etc.)
and that have been published in the open literature between the
deadline for the previous competition and the deadline for the current

The competition will be held as part of the Genetic and
Evolutionary Computation (GECCO) conference  operated by the
Association for Computing Machinery (ACM) Special Interest
Group (SIG) on Genetic and Evolutionary Computation (SIGEVO).
Entries chosen to be finalists will be made at the conference.
The winners of the awards will be announced during
the conference.

 *  Wednesday June 6, 2018 -- Deadline for entries (consisting of
one TEXT file, PDF files for one or more papers, and possible "in
press" documentation (explained below). Please send entries to
koza at human-competitive dot org

Additional information is at

Sender: [log in to unmask]
Subject: [meeting][CFP] First Call for Papers: Eleventh International
Conference on Swarm Intelligence

ANTS 2018
Eleventh International Conference on Swarm Intelligence
October 29–31, 2018. Rome, Italy
Up-to-date information at

Scope of the Conference

Swarm intelligence is the discipline that deals with the study of
self-organizing processes both in nature and in artificial systems.
Researchers in ethology and animal behavior have proposed a number of
models to explain interesting aspects of collective behaviors such as
movement coordination, shape-formation or decision making. Recently,
algorithms and methods inspired by these models have been proposed to
solve difficult problems in many domains. Among these, it is worth
mentioning ant colony optimization (ACO) and particle swarm
optimization (PSO), focusing respectively on discrete and continuous
optimisation problems. Also, Swarm robotics represents another
application of techniques derived from swarm intelligence for the
design of collaborative multi-robot systems featuring enhanced
efficiency, robustness and scalability.
ANTS 2018 will give researchers in swarm intelligence the opportunity
to meet, to present their latest research, and to discuss current
developments and applications. The three-day conference will be held
for the first time in Rome, Italy, on October 29–31, 2018.

Relevant Research Areas

ANTS 2018 solicits contributions dealing with any aspect of swarm intelligence.
Typical, but not exclusive, topics of interest are:
- Behavioral models of social insects or other animal societies that
can stimulate new algorithmic approaches.
- Theoretical and empirical and research in swarm intelligence.
- Application of swarm intelligence methods (e.g., ant colony
optimisation or particle swarm optimisation) to real-world problems.
- Theoretical and experimental research in swarm robotics systems.

Important Dates
Submission deadline: April 15, 2018
Notification of acceptance: June 15, 2018
Camera ready copy: June 29, 2018
Conference: October 29–31, 2018


 - Send submissions (articles) to [log in to unmask]
 DO NOT send submissions to the [log in to unmask] address.

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 End of Evolutionary Computation Digest

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