@CSUCI Comp Sci students: position at QAD

We have a single immediate opening for our year long training program. This is a great opportunity for for a CSUCI student. This is the same program I’ve mentioned in the past. The person we hire gets 6 months hands on training in RnD here in Summerland. Them we fly them out to the east coast for 3 months of hands on training within out Support organization, and they finish the program with 3 more months working at customers sites at any number of random global customer sites. During the 12 month program, they are paid full salaries and get 6 months housing with with RnD or on the east coast. This position will have the option to relocate to Michigan at the conclusion of the program.

Daniel Villanueva
Project Manager
dzv@qad.com
805.566.5292

QAD Inc
1100 Innovation Place
Santa Barbara, CA 93108 USA
http://www.qad.com
QAD – Our Passion. Your Advantage.

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Two 1-year research positions are available at the Department of Computer Science of the University of Pisa

Two 1-year research positions are available at the Department of Computer Science of the University of Pisa.

The positions are funded on the Project MIUR-SIR (2014) CMACBioSeq. The aim of this project is to develop research in the area of Data Compression and Sequence Analysis by using methods from Combinatorics on Words and by developing algorithms and data structures for the treatment of strings (indexing, querying, analyzing, …), mainly datasets from Next-generation Sequencing (NGS) technologies or third generation sequencing technologies.
Candidates with expertise in string/parallel algorithms and NGS bioinformatics are encouraged to apply.

Research areas include:
– string algorithmics,
– text indexing for big data,
– indexes for approximate pattern matching
– text compression and compressed text indexing,
– external memory indexes,
– space efficient data structures,
– shared memory parallel computing,
– and so on.

* Application deadline: May 2017, 27th
* Start date : June 2017 (negotiable)
* Duration: 12 months
* Expected: Master’s Degree (or PhD).

For detailed job descriptions and how to apply, visit:
https://www.unipi.it/ateneo/bandi/assegni/2017/inf/27mag2017/inglese.rtf_pdfcvt.pdf
https://www.unipi.it/ateneo/bandi/assegni/2017/inf/27mag2017/index.htm

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PhD or PostDoc positions in Discrete Algorithms and Data Structures at Dortmund

The Technical University of Dortmund has one of the largest faculties
for Computer Science in Germany and offers a very stimulating
environment for algorithm theory and algorithm engineering.

The group of Johannes Fischer
(ls11-www.cs.uni-dortmund.de/fischer/start)
offers 2 full-time PhD or PostDoc positions in the broad area of Discrete
Algorithms or Data Structures, starting as soon as possible. We seek:

* PhD-students with an excellent Master’s (or equivalent) degree in
computer science and a strong interest in algorithms and data
structures, to be documented, e.g., with specialization in those
topics and very good grades.
* PostDocs with a PhD in computer science and a strong background in
discrete algorithms and data structures, to be documented, e.g.,
with a strong publication record in those fields.

Research areas of the group include:

– string algorithmics,
– text indexing for big data,
– indexes for approximate pattern matching
– text compression and compressed text indexing,
– external memory indexes,
– space efficient data structures, and
– shared memory and distributed parallel computing,

but other research topics fitting into the areas of stringology or
compressed data structures are also welcome.

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Assistant/Associate Professor in Algorithms and Data Structures, Complexity Theory, or Discrete Mathematics

DTU Compute’s Section for Algorithms, Logic and Graph theory (AlgoLoG), invite applications for an appointment as Assistant or Associate Professor within Algorithms and Data structures, Complexity theory, or Discrete mathematics. The position is available from 01.05.2017 or according to mutual agreement.

Source: Assistant/Associate Professor in Algorithms and Data Structures, Complexity Theory, or Discrete Mathematics

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Graduate positions at Bonsai group from University of Lille and Inria (France), starting January 2017

A position for a master thesis (4-6 months) and a PhD grant (36
months) are available in the Bonsai group from University of Lille and
Inria (France), starting January 2017 or later.

The Bonsai research group focuses on efficient algorithms and data
structures for high-throughput sequencing data.  This position is
funded by a national collaborative project on Nanopore sequencing,
that gathers groups in computational biology and wet labs (ANR ASTER).
The main objective is to define a general purpose local alignment
algorithm that is able to handle long error-prone reads, using
advanced techniques such as dimensionality reduction, seed-and-extend
methods, alignment-free methods. The post requires a high level
of expertise in discrete algorithms and good programming skills (C++).

For more information on the position and the application process,
please contact Laurent Noé and Hélène Touzet
(laurent.noe@univ-lille1.fr,helene.touzet@univ-lille1.fr)

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Research position in Portugal

INESC TEC (https://www.inesctec.pt/ip-en) at Porto, Portugal, is accepting applications to award 1 Research Grant for MSC within the Project “TEC4Growth – RL FourEyes – Intelligence, Interaction, Immersion and Innovation for media industries (NORTE-01-0145-FEDER-000020)” to support a PhD thesis on “Temporal News IR”.

Work area: Text Mining and Information Retrieval.

Academic Qualifications: MSc in Computer Science, Computer Engineering or similar;

Minimum Profile required: Research experience in Information Retrieval and Text Mining. Fluency in English (oral and written);

Preference factors: Good programming skills (preferably C#). Knowledge in the fields of information retrieval/text mining/information extraction.

The position is offered for an initial period of one year (from 2016-05-01 a 2017-04-30) and may be renewed for additional periods.

Application Period: 2016-04-07 to 2016-04-21

If you want to apply for this position, please follow the corresponding link and read the details about the application procedure at https://www.inesctec.pt/ip-en/work-with-us/bolsas-inescporto/concurso-para-a-atribuicao-de-1-bolsa-de-investigacao-para-mestre-no-projeto-tec4growth-rl-foureyes?set_language=en&cl=en

For further inquiries regarding the position, please contact Prof. Ricardo Campos

—————————————————————————————
Ricardo Campos
Assistant Professor – ICT Department
Polytechnic Institute of Tomar at Tomar, Portugal

Researcher
LIADD – INESC TEC at University of Porto, Portugal

e-mail: ricardo.campos@ipt.pt
e-mail: ricardo.campos@inesctec.pt
Web: http://www.ccc.ipt.pt/~ricardo
—————————————————————————————

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PhD position in Bioinformatics in Lille, France

Two PhD positions are available in the Bonsai group (Lille, France),
starting
Fall 2016:

* Algorithms for analyzing assembly graphs from third-generation DNA
sequencing (with R. Chikhi, J-S. Varré)

* Algorithms for finding motifs in alignments of small RNA-sequencing
data in
plant genomes (with H. Touzet, R. Chikhi)

Recent DNA and RNA sequencing technologies yield a large amount of
short sequence fragments that need to be analyzed
computationally. Broadly speaking, these PhD offers deal with
algorithms for the analysis of such sequencing data.

Pre-requisites:

A master degree in computer science or bioinformatics, and more
specifically a good knowledge of methods in discrete algorithms.
Knowledge in biology is not a requirement, but then the applicant
should have a strong computational background and be interested
in biological problems.

How to apply:

Send applications or inquiries to helene.touzet@inria.fr,
rayan.chikhi@inria.fr,
jean-stephane.varre@univ-lille1.fr Applications should include a CV, a
transcript of master-level grades and the name of two references.

Deadline: April 15, 2016

Bonsai (http://www.cristal.univ-lille.fr/bonsai) is a bioinformatics
research group at University of Lille, affiliated with INRIA Lille –
Nord Europe and CRIStAL (Université Lille 1, CNRS). The main goal of
our research is to define combinatorial models and efficient
algorithms for large-scale sequence analysis in molecular
biology. This includes genome annotation, high-throughput sequencing,
metagenomics, noncoding RNAs, genome structure, non ribosomal peptides.

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Faculty position in Berlin in the field of algorithms

Technische Universität Berlin
Faculty IV – Electrical Engineering and Computer Science
Department of Software Engineering and Theoretical Computer Science

offers an open position of a

Junior professor – salary grade W1 –
in the field of “Efficient Algorithms”.

Reference number: IV-68/16
(starting at the earliest possible / to be filled as soon
as possible for a period of 3 years;
an extension of 3 more years is possible after successful evaluation /
closing date for applications 28/04/16)

Working field: The position includes teaching duties in the Bachelor and
Master programs “Computer Science”, “Computer Engineering”, and
“Information Systems Engineering and Management”. In addition, an active
participation in Berlin’s algorithmic research (in particular concerning
successful grant application, cooperations, committee work, regular
publications) is expected.

Requirements: Candidates must meet the requirements of the Berlin Higher
Education Act (§102a BerlHG)
(the information leaflet will be forwarded upon request), including a
completed academic education, qualified achievements in research,
usually proven by an outstanding doctoral thesis (PhD),
educational and didactic competences. We are seeking a scientist with
a PhD and expertise in the theoretical study of algorithms or a closely
related area. Applicants should have a strong scientific track record
witnessed by publications in peer-reviewed journals
and conferences related to algorithmic research.
Applicants should be experts in one of the following research areas or
in a related field:
* algorithm engineering,
* algorithms for massive data (in particular streaming algorithms),
* algorithmic game theory,
* approximation and online algorithms,
* data structures,
* graph algorithms,
* parameterized algorithms,
* randomized algorithms.
In addition, knowledge in one or more areas of applied computer science
is favourable, for example in
* bioinformatics,
* computational social choice,
* data mining,
* machine learning,
* social network analysis.

Technische Universität Berlin strives to increase the proportion of
women in research and teaching and therefore
strongly encourages qualified female researchers to apply. Qualified
individuals with disabilities will be favored.
Technische Universität Berlin is a certified family-friendly higher
education institution, and our Dual Career Service offers assistance to
you and your family when relocating to Berlin.

Please send your written application with the reference number and the
usual documents (including a CV listing publications, teaching
experience etc., copies of academic degrees,
as well as copies of up to five selected publications)
until 28/04/2016 to

Technische Universität Berlin – Der Präsident -, Dekan der Fakultät IV,
Sekr. MAR 6-1, Marchstr. 23,
D-10587 Berlin, Germany
or by email to bianca.hahn@tu-berlin.de

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Opportunity for research experience for undergraduates in Machine Learning

AN OPPORTUNITY FOR A 10-WEEK RESEARCH EXPERIENCE FOR UNDERGRADUATE STUDENTS is available in the area of Machine Learning. The program is sponsored by the National Science Foundation and is offered by the Information Characterization & Exploitation (ICE) Laboratory at Florida Institute of Technology (FIT) in Melbourne, Florida.

Machine Learning (ML) gradually evolved as a branch of Artificial Intelligence with its theory and applications positioned at the juncture of Computer Science, Engineering, Mathematics, Statistics and, even, Physics. Nowadays, ML’s role in successfully addressing hard, real-world technological challenges has become ever more current and central. Moreover, its presence and importance now permeates several aspects not only of cutting-edge technology such as computer vision, stock market prediction and big data analytics, but also our daily life through voice-driven searches on our smart phones or movie recommendations on video streaming services to name only a few.

The program currently accepts applications in order to form a very diverse, multi-disciplinary cohort of nascent researchers for this summer. Minorities, women and people with disabilities are especially encouraged to apply.

ELIGIBILITY
Without exceptions, applicants must be:

=> Majoring in an Engineering or Science discipline
=> US citizens or permanent residents
=> Undergraduates in good academic standing

BENEFITS

=> Exposure to the exciting world of Machine Learning and its applications
=> Participate in a one-week crash course to familiarize yourself with Machine Learning

=> Work with experienced student mentors and experts in the field
=> Participate and contribute to cutting-edge Machine Learning research
=> Take part in visits to our local industry
=> Paid travel and accommodation expenses
=> Receive a competitive stipend for per diem expenses
=> Visit Central Florida venues such as Disney attractions and NASA’s Kennedy Space Center
=> Meet new people
=> Make new friends

Application Deadline: March 31, 2016
Apply online: http://www.amalthea-reu.org

For more information, visit our Web site at www.amalthea-reu.org or contact:

Dr. Georgios C. Anagnostopoulos
Director, The AMALTHEA REU Program
Associate Professor, ECE Dept.
Florida Institute of Technology
150 West University Boulevard
Melbourne, Florida 32901-6975
Phone 321-674-7125 | Fax 321-674-8192
E-mail: georgio@fit.edu

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