Position available - Cognitive Neuroscience Postdoctoral Fellowship in Mental Health

A postdoctoral fellowship position is available at the University of Texas at Austin, Department of Psychology and Institute for Mental Health Research to conduct research with Drs. Christopher Beevers and David Schnyer. This position is for two years with the possibility of extending the fellowship or transitioning to research faculty by mutual agreement based on job performance and funding availability. Duration and start time are negotiable. Salary is commensurate with experience and consistent with NIH guidelines.

We are seeking a postdoctoral fellow in cognitive neuroscience with strong expertise in eye tracking and EEG/ERP methods who is interested in translational research involving clinical populations. The postdoctoral fellow will contribute to a program of research that examines the etiology and treatment of depression in adults across multiple levels of analyses (behavioral, genetic, neural, environmental). Ongoing studies include dual process models of reward and punishment processing, genetic etiology of cognitive vulnerability to depression, and real-time neurofeedback attention training in depressed adults. In addition to SR Research eye-tracking and Brain Vision EEG equipment located in Dr. Beevers’ laboratory, the postdoctoral fellow will have access to other cognitive neuroscience resources at the University of Texas at Austin, including fMRI, MR compatible EEG, TMS, and MEG.

The postdoctoral fellow will primarily be responsible for designing and implementing EEG and eye tracking experiments, preparing manuscripts, contributing to grant writing, and conducting analyses following data collection. Opportunities to write manuscripts from extant datasets are plentiful. Some staff supervision will also be expected. The fellow will have advisors with expertise in psychopathology, cognitive neuroscience, and grant writing. Individuals with a PhD in cognitive psychology, cognitive neuroscience, or related fields of study are encouraged to apply for this position. Qualifications include a 1) doctoral degree, 2) demonstrated expertise with EEG/ERP and/or eye tracking methods, and 3) an interest in clinical populations. Experience with Matlab (i.e., EEGLab, Psychtoolbox) and statistical analysis programs (R, Stata) is also required. Excellent scientific writing skills and strong publication records are highly desired. Applicants should be able to work independently but should also demonstrate good interpersonal skills and a desire to work in a highly collaborative environment.

Candidates should apply for this position at the following link: https://utdirect.utexas.edu/apps/hr/jobs/nlogon/140425010712

Application materials (curriculum vita, cover letter describing research interests and experience, three letters of recommendation) can be sent electronically to beevers@utexas.edu. Please contact Christopher Beevers (beevers@utexas.edu) or David Schnyer (schnyer@utexas.edu) with inquires about this position.

-- 

-- 
David Schnyer, Ph.D.
Associate Professor, Cognitive Neuroscience
Department of Psychology, SEA 5.246
University of Texas, Austin
tel: (512) 475-8499, fax: (512) 471-5935
http://homepage.psy.utexas.edu/homepage/faculty/Schnyer

PhD Scholarship in error correction coding, University of Newcastle, New South Wales, Australia

The School of Electrical Engineering and Computer Science at the
University of Newcastle, New South Wales, Australia, is offering a
full PhD scholarship to both domestic and international applicants.


The PhD candidate is to conduct research in the area of error
correction coding, with a focus on quantum key distribution systems.
The candidate will by supervised by Associate Professor Sarah Johnson
(http://www.newcastle.edu.au/profile/sarah-johnson).


This scholarship is part of a joint project with Australian company
QuintessenceLabs and the Australian National University (ANU) funded
by an Australian Research Council (ARC) Linkage Grant on the topic of
error correction coding for quantum key distribution.


Applicants are required to have achieved honours class one in a
relevant discipline (for example Electrical Engineering or Applied
Mathematics) or have other equivalent research based qualifications.
The applicant is also expected to have a strong foundation in
mathematics and be able to satisfy the University’s English
proficiency policy. Past experience in error correction coding
research is not necessary but will be considered favourably.


The scholarship meets the full tuition fees (and overseas student
health cover costs if required) for a period of three years. It also
provides a tax-free living allowance of AUD 25,406 per annum (2014
rate, indexed annually) with a further top-up available to exceptional
candidates. All University of Newcastle students also have access to a
minimum of AUD 1,500 per annum for research-related expenses and are
issued a new laptop on their commencement.


Interested applicants are to submit the following materials to A Prof Johnson at
Sarah.Johnson@newcastle.edu.au:


• A cover letter indicating the applicant’s research interests


• Curriculum vitae


• List of publications (if any)


• Academic transcript(s)


• Theses topics (bachelor’s degree and/or master’s degree)


• Evidence of English language proficiency e.g. IELTS or TOEFL (for
international applicants)




Primary consideration will be given to applications received before 30

August 2014. However, the position will remain open until filled.

PhD position in the area of Causal Inference, University of Amsterdam

PhD position and Postdoc position in the area of Causal Inference
-----------------------------------------------------------------
The University of Amsterdam invites applications for two fully funded positions for a PhD student and a postdoctoral researcher. Both positions are in the area of causal modeling, reasoning and discovery, with a strong focus on applications in molecular biology. 


Application closing date:  September 15, 2014
Preferred starting date:   November 1, 2014 (later starting date is possible)
Duration:                  4 years for the PhD position; 
                           3 years for the postdoc position.


The positions are part of the VIDI project "Causal Inference: Theory for Applications" funded by the Netherlands Organization for Scientific Research (NWO), and will be supervised by dr. Joris Mooij. 


About the project
-----------------
Many questions in science concern causal relationships. Causal inference, a branch of statistics and machine learning, studies how cause-effect relationships can be discovered from data and how these can be used to make predictions in situations where a system has been perturbed by an external intervention. The ability to reliably make such predictions is of great value for practical applications in a variety of disciplines. The research will focus on the development of new theory and efficient algorithms for robust discovery of causal relationships and estimation of causal effects from a combination of observational data, interventional data, and background knowledge. This work will be done with a strong focus on applications in molecular biology, one of the most promising areas for automated causal discovery from data, enabling a thorough validation of causal prediction methods in practice.


About the academic environment
------------------------------
The successful candidates will be based in the Intelligent Autonomous Systems (IAS) Group led by prof. dr. Max Welling, which is part of the Intelligent Systems Lab Amsterdam (ISLA) within the Informatics Institute (IvI) at the University of Amsterdam, the Netherlands. The institute was recently ranked among the top 50 computer science departments in the world by the 2011 QS World University IT Rankings. ISLA consists of 20 members of faculty, 20 post-doctoral researchers, and more than 50 PhD students. Members of the lab are actively pursuing a variety of research initiatives, including machine learning, decision-theoretic planning and learning, causal discovery, multiagent systems, human-computer-interaction, natural language processing, information retrieval, and computer vision.


Some of the things we have to offer:
* competitive pay and excellent benefits;
* very friendly, interactive and international working environment;
* new building located near the city center (10 minutes by bicycle) of one of Europe's most beautiful and lively cities;
* access to high-end computing facilities (cluster with 4,000+ cores).


English is the working language within the Informatics Institute. Since Amsterdam is a very international city where almost everybody speaks and understands English, candidates need not be afraid of the language barrier.


Further information
-------------------
For further information, including instructions on submitting an application, see the official job ads at:


http://www.uva.nl/en/about-the-uva/working-at-the-uva/vacancies/item/14-257.html (PhD)
http://www.uva.nl/en/about-the-uva/working-at-the-uva/vacancies/item/14-256.html (postdoc)


Informal inquiries can be made by email to Joris Mooij (j.m.mooij@uva.nl).

Call for Admission to PhD programs at Politecnico di Torino (XXX Cycle)

CALL FOR ADMISSION TO THE XXX CYCLE OF PHD RESEARCH PROGRAMS

Call for Admission to PhD programs at Politecnico di Torino (XXX Cycle) 

(deadline for the submission of application: August 28, 2014) 


All those interested in applying for a XXXth cycle PhD position are required to complete the procedure on Apply by 3 p.m. on Thursday, 28th August 2014. This will allow ScuDo (scudo@polito.it) to ensure its support in the event that some IT problems occur. 

CALL FOR ADMISSION TO THE PHD RESEARCH PROGRAMS JOINTLY ACTIVATED BY POLITECNICO DI TORINO AND UNIVERSITÀ DEGLI STUDI DI TORINO (XXX CYCLE)

Call for Admission to PhD Research Programs jointly activated by Politecnico di Torino and Università degli Studi di Torino (XXX Cycle) 

(deadline for applying: August 28, 2014) 


If you wish to apply for "Bioengineering and Medical-Surgical Sciences", "Urban and Regional Development" and "Urban and Regional Development - Technologies for Smart Communities Cluster - Project Zero Energy Consumption Buildings in Smart Urban Districts", we strongly recommend you to submit your application by 3 p.m. of August 28, 2014.
This will allow the Doctoral School (scudo@polito.it) to ensure its support in the event that some IT problems occur. 

If you wish to apply for "Pure and Applied Mathematics", please refer to the instructionshttp://www.unito.it/pagina/bando_dottorato and www.unito.it/page/phd_call_applications

published on the website of the Università degli Studi di Torino. 

PROCEDURES TO APPLY FOR A PHD POSITION AT POLITECNICO DI TORINO - XXX CYCLE

In order to take part to the competitive examinations, you must hold: 

• Master's Degree (already obtained or to be obtained by 31/10/2014)
  
  
  Will be able to apply:
  
  
  • Candidates who obtained a Master's Degree in Italy with a minimum mark of 95/110;
  
  
  • Candidates who obtained any other equivalent (second-level) Academic qualification abroad with a minimum average grade as expressed in Appendix 4 of the call for admission;
  
  
  • Candidates who will obtain their Master's Degree in Italy by and no later than October 31, 2014, with minimum average grade of 25/30 and minimum degree score of 95/110 (This will be checked at time of enrolment).
  
  
  Those candidates who have been awarded two (or more) second level Degrees, will have to state in Apply@polito.it (after expressing their PhD choice), only the one they want the Commission to take into consideration for the purposes of admission.
  
  
• Certificate of English language proficiency
  
  
  • IELTS with a minimum score of 5.0;
  
  
  • TOEFL Internet based test with a minimum score of 77, or Computer-based test with a minimum score of 210, or Paper-based test with a minimum score of 547;
  
  
  • Cambridge ESOL examinations – General English exams with minimum level PET pass with merit.
  
  
  Alternatively, candidates can prove they own a Bachelor's Degree or Master's Degree obtained from a University providing training courses in English language, handing in an official declaration issued by the university stating that “The medium of instruction is English”.
  
  Citizens of countries where one of the official languages is English are also exempted from the submission of the English certificate.
  
  Application is also open to candidates who will obtain their certificate by and no later than the deadline to enrol to the PhD, as per art. 11 of the call for admission). In this case, conditional admission shall be granted as long as the candidate submits one of the above-mentioned documents during the enrolment procedure; failure to do this would result in the irrevocable loss of the right to enrol.
  
  
  
  
  TO APPLY FOR THE POLITECNICO DI TORINO public competitive examinations, it is necessary to use the electronic form Apply@polito.
  
  Candidates who have not graduated at Politecnico di Torino will be asked to provide their biographical information and will then be provided with username and password for accessing the second part of the procedure.
  
  Applicants who have graduated or are about to graduate at Politecnico di Torino must, instead, access the procedure through Portale della Didattica, using their own credentials (username: Sidnumber - password: date of birth in "ddmmyy" format, or customised password).
  On their personal page they will find a button which will link them directly to the second part of Apply@Polito.it
  
  Before starting to fill in the second part of the application, please make sure you have all the documents listed in the call (art. 3, par.2 of the call published above)
  
  You will have to pay a non-refundable processing fee of 30,00€ for every PhD Program you choose; you will be able to pay on-line by credit card (VISA, MasterCard).
  At the end of the registration process, you will find a link which will guide you through the payment process.
  
  Upon completion the application, once the payment is made,you will be able to see the "SUBMIT" button.
  After clicking on this button, your application will be submitted and it will not be possible to change any of its parts.
  After the deadline (August 28, 2014) all the applications of candidates who have regularly carried out the payment but have not submitted their application yet, will be automatically closed and submitted.We heartly recommend you check all the information entered and the documents attached before submitting your application, as after this moment no further change will be possible.
  
  PLEASE NOTE: All the candidates who have secured their position will have to enrol by and no later than December 15, 2014.
  Foreign candidates who require a Visa to access Italy, are required to get in touch with the closest Italian Embassy to enquire about timing and procedures to obtain the Italian Social Security Number (Codice Fiscale) and the student visa so as to be able to speed up the procedures once the ranking list is published.
  
  
  

PROCEDURES TO APPLY FOR A PHD POSITION WITHIN THE PROGRAMS JOINTLY ACTIVATED BY POLITECNICO DI TORINO AND UNIVERSITÀ DEGLI STUDI DI TORINO - XXX CYCLE

In order to take part to the competitive examinations, you must hold: 

Master's Degree (already obtained or to be obtained by 31/10/2014)

Will be able to apply:


• Candidates who obtained a Master's Degree in Italy with a minimum mark of 95/110;


• Candidates who obtained any other equivalent (second-level) Academic qualification abroad with a minimum average grade as expressed in Appendix 2 of the call for admission stipulated by Poltecnico di Torino and Università degli Studi di Torino;


• Candidates who will obtain their Master's Degree in Italy by and no later than October 31, 2014, with minimum average grade of 25/30 and minimum degree score of 95/110 (This will be checked at time of enrolment).

Certificate of English language proficiency

• IELTS with a minimum score of 5.0;


• TOEFL Internet based test with a minimum score of 77, or Computer-based test with a minimum score of 210, or Paper-based test with a minimum score of 547;


• Cambridge ESOL examinations – General English exams with minimum level PET pass with merit.


Alternatively, candidates can prove they own a Bachelor's Degree or Master's Degree obtained from a University providing training courses in English language, handing in an official declaration issued by the university stating that “The medium of instruction is English”.

Citizens of countries where one of the official languages is English are also exempted from the submission of the English certificate.

Candidates who do not have one of the above-mentioned cartificate testifying their knowledge of the English language can apply nonetheless. If they pass the selection they shall be allowed to enrol to the PhD Program as long as they obtain one of these certificates within the first year of the course. Failure to do this, will result in the exclusion from the program.

Candidates interested in applying for the Interuniversity Call for Admission, will have to fill in the electronic form Apply@polito ONLY if they want to apply for the following PhD Programs:

Bioengineering and medical-Surgical Sciences

Urban and Regional Development

Urban and Regional Development - Technologies for Smart Communities Cluster - Project Zero Energy Consumption Buildings in Smart Urban Districts

Candidates who have not graduated at Politecnico di Torino will be asked to provide their biographical information and will then be provided with username and password for accessing the second part of the procedure. 

Applicants who have graduated or are about to graduate at Politecnico di Torino must, instead, access the procedure through Portale della Didattica, using their own credentials (username: Sidnumber - password: date of birth in "ddmmyy" format, or customised password).

On their personal page they will find a button which will link them directly to the second part of Apply@Polito.it

Before starting to fill in the second part of the application, please make sure you have all the documents listed in the call (art. 3, par.2 of the call published above)

You will have to pay a non-refundable processing fee of 30,00€ for every PhD Program you choose; you will be able to pay on-line by credit card (VISA, MasterCard). 
At the end of the registration process, you will find a link which will guide you through the payment process. 

Upon completion the application, once the payment is made, you will be able to see the "SUBMIT" button.
After clicking on this button, your application will be submitted and it will not be possible to change any of its parts.
After the deadline (August 28, 2014) all the applications of candidates who have regularly carried out the payment but have not submitted their application yet, will be automatically closed and submitted. We heartly recommend you check all the information entered and the documents attached before submitting your application, as after this moment no further change will be possible. 

PLEASE NOTE: All the candidates who have secured their position will have to enrol by and no later thanDecember 15, 2014.
Foreign candidates who require a Visa to access Italy, are required to get in touch with the closest Italian Embassy to enquire about timing and procedures to obtain the Italian Social Security Number (Codice Fiscale) and the student visa so as to be able to speed up the procedures once the ranking list is published. 


Candidates interested in the Interuniversity PhD Program in:

Pure and Applied Mathematics

shall apply through the procedure retrievable on the Università degli studi di Torino website (http://www.unito.it/pagina/bando_dottorato and www.unito.it/page/phd_call_applications).


Candidates interested in applying for an Apprenticeship PhD Position, will have to select "posto in apprendistato (Apprenticeship PhD)".
Please note: Candidates interested in carrying out and Apprenticeship PhD must be younger than 30 years old at the moment when they are taken on by the project partner company.

PhD program on Brain, Mind, and Computer Science Announcement

The University of Padova has 6 PhD positions for the new interdisciplinary PhD program on "Brain, Mind, and Computer Science". The aim of this PhD program is to prepare young researchers at the intersection of cognitive and computer sciences, in a way that they will be able to successfully  face the challenges of the society of the future, where people, software agents, and things will all be interconnected. More information about this PhD program may be found at http://hit.psy.unipd.it/phd-bmcs 

We encourage brilliant students who plan to get a master degree by October 2014 to apply to this program. The call for applications is athttp://www.unipd.it/en/node/1053 and the deadline is July 10. 

The PhD program has two curricula: 
-- Neuroscience, Technology and Society (1 scholarship) 
-- Computer Science for Societal  Challenges and Innovation (5 scholarships, of which 3 with a specific theme) 

The themes of the 3 scholarships are as follows. 
Feel free to get in touch with the contact person if you are interested in any of these scholarships. 

1. Theme: Smart and assistive technology 
Contact person: Francesca Rossi, francesca.rossi@unipd.it 
Funded by Fondazione Bruno Kessler. 
Main topic: Modeling & aggregating preferences in collective systems 

Description: 
Collective systems comprise a large number of social and technical entities which are autonomous in terms of their goals and actions, but whose individual behaviors influence each other and define the overall performance of the system. An example is integrated urban mobility, where urban policies, available services and infrastructures, and individual citizens' behaviors all impact the overall performance. Decision making in collective systems is highly distributed and multi-level, and requires the capability to model and aggregate the preferences of all the encompassed entities. This topic investigates methods and tools for modeling and processing individual and aggregated preferences in the scope of collective systems. 


2. Theme: Cloud computing 
Contact person: Tulio Vardanega, tullio.vardanega@unipd.it 
Main topic: Service design in the Cloud 

Description: 
The research challenge addressed by this grant is the exploration of the design principles and implementation solutions capable of delivering low-latency low-footprint elastic capacity to application services deployed on the Cloud. The work work will be carried out from the angle of the logical (PaaS) and physical (IaaS) infrastructure underneath the application delivery service, with the intent of allowing flexible and opportunistic federation of selected elements of heterogeneous vertical solutions. 


3. Theme: Bioinformatics for Personal Genomics 
Contact person: Alessandro Sperduti, alessandro.sperduti@unipd.it 
Main topic: Development and application of machine learning procedures for analysis of genomic data from patients with monogenic and oligogenic diseases. 

Description: 
The general aim is to develop suitable and flexible machine learning based methods and software tools for the characterization and classification of genetic data of individuals affected by a particular disease. The PhD student will work in a highly interdisciplinary research environment at the intersection among Computer, Biology, Medical and Cognitive Sciences. High performance computing facilities, as well as state-of-the-art genetic and medical data, will be available to the PhD candidate for the development of the targeted research activity.

PhD Studentship in Surrey (UK) in collaboration with the European Space Agency

One PhD position is available in Surrey at the Surrey Space Centre of the University of Surrey (UK),

Context
This project builds upon an already established collaboration between the University of Surrey, Surrey Satellite Technology Ltd (SSTL) and the European Space Agency (ESA) where a ground-based automated planning & scheduling system for the imaging campaign of an Earth Observation constellation has been built. Multi agent systems represented a fruitful approach to model this dynamic context. The novelty of this project was to apply Ant Colony Optimisation techniques to achieve optimisation and coordination in the constellation planning. This mechanism offers high-level of adaptability and scalability. The project used mathematical models of non-linear dynamical systems to model the self-organising long-term system’s behaviours. Finally, the system developed has been applied to the ESA GENSO (Global Educational Network for Satellite Operations) network and to the SSTL Disaster Monitoring Constellation.

Project Title
Application of Dynamical Systems Theory to Multi Objective Automated Space Mission Planning based on Ant Colony approach

Project Description
The work proposed here represents the natural step forward. The innovation of this project regards three main research directions:

Multi-Objective Optimisation. The P&S problem can be treated as pareto problem, ie. separate optimisation of objectives to find a set of pareto-optimal solutions (which might have conflicting objective goals). This is becoming a key requirement for goal-oriented planning because extends the way how the objectives can be defined and it could greatly improve the operators’ evaluation of the solutions generated.
Dynamical System Theory. The model previously developed can be extended in a number of directions: the problem representation affects the range of applications of the planning system; the ACO techniques implemented affects its performance.
Hybrid architecture. This research should explore the benefits of hybrid architecture where deliberative agents are set to regulate the collective behaviours expressed by the self-organising multi agent system. This could extend the capabilities and the reliability of the overall system. 

Requirements

The PhD last 3 years. 
The applicant will be based in Surrey at the university. He can spend periods abroad up to 1 year, in general he should spend 6 months in ESOC but it's not mandatory.
The supervisor will be Prof Phil Palmer, head of the group of Astrodynamics at the Surrey Space Centre. Alessandro Donati and Nicola Policella will be his tutor at the European Space Operation Centre (ESOC) of Darmstadt (Germany) and Claudio Iacopino will be his tutor at the Surrey Satellite Technology Ltd (SSTL)
Applicants should hold a good honours undergraduate or Masters degree in computer science or a closely related discipline such as mathematics.
Applicants should have a background in artificial intelligence or advanced computer technologies, ideally automated planning and scheduling and an understanding/experience of the Space Operations/ Earth Observation field.
Applicants' nationality has to be ones of the member states of the European Space Agency

Funding: The applicant will receive full funding for tuition fee, international travels and a salary for 3 years. 

Deadline: Until filled.

Start date: 1st October 2014- 1st January 2015

For information on how to apply and full application requirements please email c.iacopino@sstl.co.uk 

Ph.D. position at the Department of Computer Science of the Missouri University of Science and Technology

Applications are invited for one Ph.D. position at the Department of Computer Science of the Missouri University of Science and Technology. 

Communication networks are an inherent part of our life for a wide range of activities. These networks have increased in size, complexity, heterogeneity, energy demand and interdependence with other networks. These aspects open new research problems, which need to be tackled in order to improve the security and efficiency of these networks. 

The general goal of the Ph.D. work  is the development of efficient solutions for the improvement of security, performance, reliability and energy efficiency of heterogeneous, complex and large scale communication networks, such as geographically distributed web systems, static and mobile wireless sensor networks, small cell networks and wide-area networks. 

The research will be characterized by a theoretical analysis of the problems and proposed solutions, using a wide range of tools from different fields including computational geometry, statistics, algorithm design, optimization and probability theory, as well as by an experimental and simulation study, to investigate and compare the performance of the proposed solutions against the best performing existing approaches. 

We encourage all highly motivated and excellent candidates to apply for this position. 

Applicants must have a bachelor or master degree in Computer Science/Computer Engineering or closely related field, with an emphasis on computer networks. 


Successful candidates should have: 

- Strong background in network algorithm/protocol design and analysis. 
- Strong knowledge of computer networks (wired and wireless). 
- Strong programming skills (e.g. C/C++, Java, Python). 
- Strong skills in oral and written communication. 

For more information please contact Simone Silvestri (simone@cse.psu.edu). 

Application requirements can be found at: 
http://cs.mst.edu/graduatedegreeprograms/phdcomputerscience/

PhD position-Multiview Learning for Sequence Extraction Tasks, Grenoble - Clermont Ferrand, France

Multiview Learning for Sequence Extraction Tasks

Subject:

With the increase of electronically available textual information in different views, new needs for Information Access systems are arising. Many new tasks lie between the classic frameworks of Information Retrieval (IR) and Information Extraction (IE). Machine Learning (ML) is playing a central role in the development of these fields but has been used for the most part for the improvement of existing models. 

The thesis aims at extending the capabilities of statistical IR models to handle more complex information retrieval and extraction tasks. For this, we are interested in the use of probabilistic sequence models for sequence analysis. In particular, we will consider a text generated by two different sources where each of the texts is a sequence of symbols and not as an unordered set. From this perspective, we seek a sequence model that allows to work at a finer level than what is usually done in IR. Each model associated to a source is learned in the way to minimize the disagreement of the sequence to be extracted with the similar extracted sequence by the other model. Under this framework, we aim to deal with several text analysis tasks within a unifying formalism.

Profile:

For this position, we are looking for highly motivated people, with a passion to work in machine learning, information retrieval and the skills to develop algorithms for prediction in real-life applications. We are looking for an inquisitive mind with the curiosity to use a new and challenging technology that requires a rethinking visual processing to achieve a high payoff in terms of speed and efficiency.

We further seek a candidate with the following additional skills:

- Probability and statistics ;

- The ability to analyze, improve and propose new algorithms ;

- Good knowledge of programming languages with a proved experience is a plus.

Application:

The application should include a brief description of research interests and past experience, a CV, degrees and grades, a copy of Master thesis (or a draft thereof), motivation letter (short but pertinent to this call), relevant publications, and other relevant documents. Candidates are encouraged to provide letter(s) of recommendation and contact information to reference persons. Please send your application in one single pdf to 

massih-reza.amini@imag.fr 

eric.gaussier@imag.fr 

gvernat@coffreo.com

The deadline for the application is July 15th, 2014, but we encourage the applicants to contact us as soon as possible. The final decision will be communicated in the beginning of August.

Duration: 3 years (a full time position) Starting date: September, 2014

Supervisors: Massih-Reza Amini (UJF/LIG, France), Eric Gaussier (UJF/LIG, France), Guillaume Vernat (COFFREO, France)

Working Environment:

The PhD candidate will work at AMA team (http://ama.liglab.fr/) of the Laboratoire d'Informatique de Grenoble (LIG) lab, a leading Computer Science in France and COFFREO (https://www.coffreo.com/) a French leading Firm in electronic safe. Grenoble is the capital of the Alps in France, with excellent train connection to Geneva (2h), Paris (3h) and Turin (4h). AMA team is a dynamic group working in Machine Learning and connected scientific domains over 20 researchers (including PhD students) and that covers several aspects of machine learning from theory to applications, including statistical learning, data-mining, and cognitive science.

Benefits:

* Duration 36 months – (3 weeks a month at Grenoble and 1 week a month at Clermont Ferrand)

* Starting date of the contract : September 2014, 

* Salary after taxes: from 21264 € per year,

* Possibility of French courses Help for housing Participation for public transport Scientific Resident card and help for husband/wife visa

__._,_.___