PHD STUDENTS IN THE AREA SOCIAL COMPUTING at Know-Center Graz

PHD STUDENTS IN THE AREA SOCIAL COMPUTING at Know-Center Graz



RESPONSIBILITIES

For a number of research and industry project, we need motivated PhD students in the Area Social Computing, who will have an opportunity to complete a PhD degree in Computer Science at Graz Technical University.



QUALIFICATIONS

* Completed University Diploma/Master's Degree in Computer Science, Software Development and Economy, Telematics or Technical Mathematics (mandatory)

* Prior knowledge in Social Media Analysis, Web Science, Recommender Systems, Social Semantic Web, Social Network Analysis, Science 2.0, Machine Learning, Information Retrieval (highly desirable)

* Experience in object oriented programming in Java, with databases (preferably MySQL, and/or PostgreSQL) (mandatory)

* Experience with frontend technologies (XHTML, JavaScript, CSS, HTML5) (highly desirable)

* Experience with Matlab/Octave, R, Python, PHP, Weka, Apache Solr (highly desirable)

* Team work and self-reliance (mandatory)

* Fluent English (mandatory)



INTEREST IN

* Social Semantic Systems, Analysis of Social Media and Interactions in the Social Web, Social Network Analysis, Recommender Systems, Science 2.0, Web Science, Data Mining, Machine Learning



WE OFFER

* an opportunity to obtain a PhD degree in Computer Science at Graz University of Technology

* young, dynamic, creative team

* informal and stimulating working environment

* on the job training, professional and personal development

* excellent career prospects, both scientific and technical career paths are possible

* compensation of 2,065 per month and up, depending on your education and work experience


We are looking forward to your application. Please email it to us together with relevant attachments at career@know-center.at

--
Dr. Elisabeth Lex

Deputy Head Social Computing Research Group, Know-Center
www.know-center.at

University Assistant
Knowledge Technologies Institute, Graz Univ. of Technology
http://kti.tugraz.at

Tel: 0043 316 873 30841
Fax: 0043 316 873 1030841
Homepage: http://elisabethlex.info

Meet me at i-Know 2014: http://www.i-know.at 

__._,_.___

4 Year PhD Position at the Max-Planck Institute of Cell Biology (MPI-CBG) ,and the Computer Vision Lab Dresden (CVLD)

There is the exciting opportunity to join a rapidly growing team of researcher working in the fields of Computational Biology, Computer Vision and Machine Learning. The PhD will be jointly supervised by Prof. Carsten Rother at CVLD and Dr. Pavel Tomancak at MPI-CBG. The ideal candidate has studied mathematics, physics, computer science or Biology with very good marks. The candidate must be highly motivated and interested to dive into the field of computational biology. It is not necessary, but a plus, if the candidate has a background in biology. The ideal candidate has a strong theoretical background in the field of machine learning, optimization, or computer vision (ideally on structured models), or image processing. It is a big plus if the student has good experience in programming. The exact research topic is still flexible, but in the broad domain of using simulated biological organism to train algorithms that discover high-level biological information, such as cell lineages in long-term, time-lapse microscopic recordings of animal development.


Formal application procedure:
1. You must register with the DIPP (Dresden International PhD Program) here 
http://www.imprs-celldevosys.de/ Latest by 15.7! The PhD applicants will be selected via the normal DIPP hiring procedure. The final application has to be handed in by 25.7
2. Please send your application (CV and letter of motivation) to: carsten.rother@tu-dresden.de. There is no closing date for handing in your application, but please act as early as possible. I will start conducting interviews end of June.
3. The official DIPP interview procedure will take place 15.9-19.9.


Biology in Dresden:
Dresden is one of the top places worldwide in Biology, with different MPIs, TU Dresden (Elite University), and other institutes. Especially the fields of Computational Biology and Bioimaging are rapidly growing. After a successful PhD there are likely many opportunities to continue research in Dresden in these areas. For more information please see: 
http://tu-dresden.de/inf/cvld
http://www.mpi-cbg.de/research/research-groups/pavel-tomancak.html
http://www.mpi-cbg.de/research/research-groups/gene-myers.html
http://compbio-dresden.de/

PhD Studentship, Artificial Intelligence in Mental Health

Artificial Intelligence in Mental Health

Institute of Psychiatry, King's College London

To start: October 2014

 

Award

We are offering one PhD studentship to applicants with a background in Computer Science, particularly Artificial Intelligence or Agent-based Systems. The award is funded by the National Institute for Health Research (NIHR) through the Biomedical Research Centre for Mental Health (BRC-MH) and Biomedical Research Unit for Dementia (BRU-D) at South London and Maudsley NHS Foundation Trust (SLaM) and the Institute of Psychiatry, King’s College London (KCL).

The BRC-MH and BRU-D are pioneering multidisciplinary translational research and experimental medicine in the areas of mental health and neuroscience. They bring together researchers, clinicians and allied health professionals from two internationally recognised organisations. SLaM is the UK’s largest NHS mental health service provider with a long history of involvement in translational research. 

Project

The project aims at evaluating the use of multi-agent computer systems in guiding the clinical decision making process for improved patient care. The project involves designing and implementing a fully workable multi-agent environment responsible for complementing the decision making process. The proposed system will actively monitor entries made to the patient electronic health records through the Electronic Patient Journey System (EPJS) in the aim of anticipating and minimising the occurrence of adverse events, providing evidence-based clinical advice, enforcing adherence to clinical guidelines and capturing and reporting data entry mistakes and clinical errors. The outcome of the project is an active monitoring and guiding system to be incorporated into EPJS, which results less inconsistencies and enforces prompt response to critical events.

Entry requirements

You should have (or be expected to obtain) a 2:1 or 1st class honours degree in Informatics. If you already possess (or expect to obtain) a research-based MSc degree, a merit or distinction level is expected.

Award type and eligibility

The award covers academic fees (Home/EU rate); a tax-free stipend (£16,000 per year) and contributions towards research costs, training and conference attendance for three years. Overseas students and others not meeting UK Home Office residency criteria may apply but would be required to cover the balance of fees over the Home/EU rate.   English language competence criteria apply. 

How to apply

To apply, you must register and complete the application form online using the King's College London Applicationsystem.  Please first of all select “Research Programmes” (the category in which you will find our traditional PhD programme) and then “Social, Genetic & Developmental Psychiatry Research Centre MPhil/PhD (Full-time)” from the drop down list.  In your application, please ensure you enter the reference:  NIHRBRC14 in part 5 of the Funding section. 

Additional documentation can be uploaded after you have submitted your application, but please ensure all supporting documentation, including your references, are uploaded before the interview dates (see below).

We are unable to accept any applications sent directly to the Institute.

Only shortlisted applicants will be contacted.

Closing Date: Thursday 19th June 2014 (23.59 GMT)

Interviews:  9th & 10th July 2014

Background Information

TheInstitute of Psychiatry (IoP), King’s College London has the highest research power of any UK Institution in the area of neuroscience, clinical psychology and psychiatry (2008 Research Assessment Excercise). We are the largest academic community in Europe dedicated to the study, treatment and prevention of mental health problems and neurodegenerative disease. The IoP offers opportunities for research and training in basic and clinical science across the mental health spectrum on one campus. Studying at the IoP you will have access to a large clinical population through King’s Health Partners, an Academic Health Science Centre that includes Guy’s and St Thomas’, King’s College Hospital and South London and Maudsley NHS Foundation Trusts

Postdoctoral Fellowship at Duke-National University of Singapore

Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory, Center for Cognitive Neuroscience at Duke-NUS Graduate Medical School, National University of Singapore is looking for postdoctoral fellow in cognitive neuroscience and/or multimodal neuroimaging.

Our group studies the human neural bases of social-emotion, cognition, and memory functions and the associated vulnerability patterns in neuropsychiatric disorders, including neurodegenerative diseases (focusing on AD, FTD and preclinical stages) and Schizophrenia. Multimodal neuroimaging and psychophysical techniques are employed, including magnetic resonance imaging (MRI), functional MRI, diffusion tensor imaging, and electroencephalography (EEG). We are interested in examining the network-level structural and functional brain connectivity to shed light on the neurobiological mechanism of disease, paving the way for early detection and intervention.

Candidates must have a passionate enthusiasm for research, a strong background in one of the following fields: cognitive neuroscience, neuropsychiatric disorders, neuroimaging analyses, mathematics/statistics/machine learning or related-fields. He/She should also possess the ability to take the initiative, work independently and be motivated to work in a highly collaborative and international research environment, and be able to demonstrate creativity, technical independence and excellent communication skills. Strong interest in studying social-emotion/cognition/memory functions and/or applications of multimodal neuroimaging in neuropsychiatric disorders is preferred. Proven skills in fMRI/EEG/DTI data analyses is a plus but not necessary.

Key attractions are access to a 3T Tim Trio MR scanner and a MR compatible digital EEG system as well as collaboration opportunities with an excellent network of domestic and international scientists and doctors. The position will be two years with possible extension. Competitive package will be provided based on experience.

Interested applicants are welcome to email Assistant Prof. Helen Juan Zhou at helen.zhou@duke-nus.edu.sg with application letter, curriculum vitae, three references, and contact information. Website: https://sites.google.com/site/mneuroimaginglab/; http://www.duke-nus.edu.sg/content/zhou-juan-helen