Two Post-doc Positions at DUT Mobile and Social Computing Lab (China)

The Mobile and Social Computing Laboratory at Dalian University of Technology (DUT Phone Lab; http://dutphonelab.org/) conducts interdisciplinary, application-driven academic research in mobile and social computing. The Lab now has 30+ members, including 10+ PhD students (from seven countries on this planet!). We are interested in a broad spectrum of cutting-edge research into social computing, mobile computing, and cyber-physical systems, with focus on e.g. computational social science, mobile social networks, and smart computing systems.

We are opening 2 full-time post-doc positions. The salary will be around 6,000 RMB/month, plus other Benefits. The University will offer excellent working conditions.

Supervisor: Associate Professor Feng XIA
Working location: Dalian University of Technology @ Dalian, China
Start date: ASAP (Negotiable)
Duration: 2 years

Qualifications:
1. Applicants shall have PhD in related disciplines.
2. A good command of the English language (in speaking and in writing) is required.
3. Research experience in related areas is a plus.

Application procedure:
Please submit your application via email to Dr. Feng Xia (f.xia@ieee.org). The application should include a detailed CV (including email addresses of two referees), a brief statement of research plan (no more than one page), and at least two best scientific documents/publications written by yourself (in English). There is no deadline for application, but we will not accept applications once the positions are fulfilled. Interested applicants are highly encouraged to submit applications as soon as possible. 

For further information regarding these positions, please contact Dr. Feng Xia (f.xia@ieee.org).

All the best,
Feng
--
Feng XIA (夏锋), PhD, SMIEEE, MACM
Associate Professor and PhD Supervisor of Computer Science
Mobile and Social Computing Laboratory  (DUT Phone Lab: http://dutphonelab.org)
School of Software, Dalian University of Technology, Development Zone, Dalian 116620, China
Email: f.xia@ieee.org; f.xia@acm.org
URL: http://FengXia.NET

Postdoctoral Position in Information Retrieval

Qatar University (QU), the University of Maryland (UMD), and RMIT University are seeking applications for a postdoctoral researcher position for the development and evaluation of next generation real-time question-answering technology for Arabic microblogs.

The successful candidate will have the opportunity to conduct research (including design, implementation, and evaluation) on information retrieval problems (e.g., expansion techniques and topic detection), including “big data” challenges (e.g., dealing with real-time streams and potentially billions of tweets). In addition, the successful candidate will have freedom to pursue their own innovative ideas within the scope of the project.

The position is based in Doha, Qatar at the Qatar University campus. The team is led by Tamer Elsayed (Qatar University), in close collaboration with Douglas W. Oard (University of Maryland, College Park, USA) and Mark Sanderson (RMIT University, Australia), and with students at all three universities. The successful candidate will rotate annually between the three universities, being based in Qatar and spending one month at UMD and one month at RMIT each year to foster strong interaction across the entire research team.

Requirements

We are seeking a creative and highly-motivated researcher with experience in information retrieval, text mining, social media analytics, computational linguistics, machine learning, or a related field.  Preference will be given to candidates who combine expertise in several fields and candidates who have experience with scalable solutions (e.g., MapReduce, NoSQL). A strong publication record in top-tier conferences and/or journals is required. Effective spoken and written communication skills in English are required; neither Arabic language skills nor experience with Arabic language processing are required, but either would be a plus.

Why would I go to Qatar?

Qatar, located on the east coast of the Arabian peninsula, has a per-capita GDP among the highest in the world. Qatar’s capital, Doha, is a vibrant, cosmopolitan, and safe city with easy access to the world. Doha, home to several universities, Al Jazeera, and the Qatar Computing Research Institute, is rapidly emerging as one of the premiere venues for language technology and social media research, and it was recently selected as the host city for the 2022 FIFA World Cup.

This position in Qatar offers a competitive, tax-free salary, health insurance, and additional financial allowances for housing, transportation, travel, and children’s schooling, according to QU policy. The position comes with support for attending conferences and equipment, and provides significant opportunities for professional development.

Start Date

The position is available immediately.

Applying

To apply, please send the following information as PDF to telsayed@qu.edu.qa:

- CV

- Statement of research interests (maximum 1 page)

- Names and email addresses of at least 3 references

Postdoc Position at University of Massachusetts Medical School

Overview:

We are seeking 1~2 highly motivated postdoctoral research associate to
join the Biomedical Natural Language Processing (BioNLP) group at
UMass Medical School and UMass Amherst. This position will primarily
be located at the UMass Medical School in Worcester, MA. The BioNLP
group is actively pursuing many exciting projects including:
information retrieval, information extraction, summarization, question
answering, data mining, and their applications to the biomedical domain. A highly
productive candidate may transition to a faculty position.


Responsibilities:

The successful candidates will help investigate new algorithms to
support our current research thrusts. This will require extensive
experience with data mining, natural language processing, or social networking analysis.


Qualifications:

Candidates for this position should have a PhD in Computer Science or
related field and a significant research record including
publications in top conferences and journals in:

* Natural Language Processing
* Machine Learning
* Data Mining


Proficiency in quantitative analytical methods and strong programming
skills (e.g., python, matlab, java, C/C++, weka, etc.), along with
extensive research experience in hands-on machine learning and
data mining, is essential. Additional experience in
bioinformatics or figure search and analysis is desirable.

Successful applicants will join a vibrant collaborative research
environment, will work closely with clinical investigators and senior
personnel in the lab, and should have the ability to work effectively
both independently and as part of a multidisciplinary team. The
position will be for one year, renewable annually, starting Summer or Fall 2014.


Application:

Please apply by email to Prof. Hong Yu <hong.yu@umassmed.edu> and
include a brief letter of introduction, a CV including list of
publications in PDF format, and names and email addresses of 2-3 referees.


Background:

Please see http://www.bio-nlp.org/ for more project information.

Competitive Salary based on experience.

Postdoc position, University of Melbourne

We have funding for a two-year postdoc position in the Department
of Computing and Information Systems at the University of Melbourne,
Australia. We are looking for strong candidates in the region bordered
by information retrieval, web search, and algorithmic design.

The position closes 20 April; see
https://careers.pageuppeople.com/422/caw/en/job/882079/research-fellow-in-algorithm-design
for details and the required application process.

        Alistair Moffat, ammoffat@unimelb.edu.au

2 Research Associate Positions in the Field of "Social Computing" at Know-Center @ TUG, Austria

2 Research Associate Positions (Pre or Post-Doc Level) in the Field Of Social Computing at Austria's Competence Center for Knowledge Technologies @ TUG, Austria (http://know-center.tugraz.at/)

=================================

Duties:

Know-Center seeks two motivated and outstanding research associates in the area of "social computing" to develop and evaluate new recommender concepts or adaptive and personalization methods based on Social Semantic Web technologies.

Qualifications:

* Completed University Diploma/Master's Degree or PhD in computer science, software development and economy, telematics or technical mathematics (mandatory)

* Prior knowledge in the areas of Social Semantic Web, recommender systems, social network analysis, machine learning, information retrieval (highly desirable).

* Programming experience with XHTML, mySQL, JavaScript, CSS, Java (mandatory)

* Experience with HTML5, MATLAB, Python, R, PHP (highly desirable)

* Team work and self-reliance (mandatory)

* Fluent English (mandatory)

Interest in:

Social Semantic Systems, Data Mining, User Profiling, Adaptation, Personalization, Recommender Systems, Machine Learning and HCI

Working Environment:

Know-Center is an Austrian competence center for Knowledge Management and Knowledge Technologies. At our location in Graz, we have over 50 highly-qualified employees who perform research and development work under the motto "from data to intelligence." As a part of the network of more than 100 research facilities around the world, Know-Center has numerous publications in the leading professional media. Know-Center aims at increasing the proportion of women employees and urges qualified women to apply. Among candidates with the same qualifications, women will be given a priority.

We offer:

* Young, creative team.

* Innovative tasks: we perform research and development at the interface between science and industry.

* Pleasant working atmosphere.

* Opportunities for professional and personal growth. Both technical and scientific career paths are possible.

* Compensation of 2,065 Euros and up, depending on your qualifications and experience (e.g., the type of university degree and length of work experience).

How to Apply:

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

Questions:

If you have questions, please contact Dr. Christoph Trattner, Head of the Social Computing Research Group and Deputy Division Manager of the Knowledge Service Area @ Know-Center, Graz University of Technology, Inffeldgasse 13/6, 8010 Graz, Austria, E-mail: ctrattner@know-center.at, Tel: +43 316 873 30840, Homepage: http://christophtrattner.info

See also: 

* http://know-center.tugraz.at/wp-content/uploads/2010/03/SC_Stellenausschreibung_Wiss_en.pdf (english)

* http://know-center.tugraz.at/wp-content/uploads/2010/03/SC_Stellenausschreibung_Wiss_de.pdf (german)

POSTDOCTORAL AND RESEARCH FELLOW POSITIONS IN COMPUTER SCIENCE IN HELSINKI, FINLAND

POSTDOCTORAL AND RESEARCH FELLOW POSITIONS IN COMPUTER SCIENCE IN HELSINKI, FINLAND

Aalto University and the University of Helsinki, the two leading universities in Finland within computer science and information technology, are looking for several researchers in these areas. Postdocs are sought for fixed-term periods of at most three years and research fellows at most five years. The deadline for the call is 6 April 2014. Further details regarding the positions and the application procedure are available at https://www.hiit.fi/node/2644.

In particular please notice:

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HIIT-Wide Focus Area “Information Exploration”

The HIIT-wide focus area is a big multidisciplinary project spanning several research groups of Helsinki Institute for Information Technology HIIT at Aalto University and University of Helsinki. Several postdoc positions are now offered in the project. The postdocs will collaborate with several PI's.

Information Exploration, a central aspect of Knowledge and scientific work, can be profoundly improved through computational and information retrieval methods. Novel intelligent systems will be able to better utilize the massive explosion in raw data, documents, distributed information and links between these. Information Exploration as a focus of research develops information technology methods and pilot applications for making the data-driven fields such as modern biology, business intelligence, and others revolutionizing the way we search and access and share information. In particular improving the general problem solving method of science, in collaboration with the other fields, is the best way for our research community to contribute to solving the grand challenges of the humanity. http://www.hiit.fi/augmentedresearch

Example profiles and positions:

        • Analysing ubiquitous sensor data
        • Interactive Visualization
        • Psychophysiology for Implicit Interaction and Brain Computer Interfaces
        • Intelligent user interfaces, Information Retrieval, Recommender Systems
        • Machine Learning and Data Analysis for Context based information retrieval
        • Probabilistic modelling and data analysis for bioinformatics

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Open position for Senior / Postdoc Developer for Future Intelligent Information Retrieval, Professor Giulio Jacucci, Department of Computer Science & HIIT, University of Helsinki.

Unique position to lead the development of a future generation system for Intelligent Information Retrieval. The position has both development of a system for real wide deployment as also cutting edge research environment with academic impact. As senior / postdoc developer the candidate will be responsible of leading the development of a new generation intelligent information retrieval system that is utilising latest techniques in distributed computing, machine learning, adaptive computing, visualisation and user modelling.

Beside academic research activities the practical work includes: Programming backend, organising modular development, issuing guidelines for development.

Needed competencies and experiences: wide experience in programming in large real deployment projects, Strong skills in selected programming languages, experience of appropriate frameworks (MVC frameworks, such as Spring), Hands on experience in Web development, Experience in working with DBs - MongoDB, Postgres, etc. Duration: 5 years, salary 3 200–4 000 according to qualifications.

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Helsinki Institute for Information Technology HIIT open call for postdocs and research fellows. Contact persons: Ella Bingham, research coordinator of HIIT and Samuel Kaski, director of HIIT.

HIIT offers postdoc and research fellow positions for outstanding candidates, to be affiliated with any of its research groups. Requirement for these open positions is substantial prior experience outside the particular group. http://www.hiit.fi/groups

PhD Scholarship :: New Media + Information Systems (Vienna, AT)

Fully Funded PhD Scholarship in New Media and Information Systems

Researcher and Lecturer Position in Vienna, Austria

MODUL University Vienna is an international university located on top of
Kahlenberg with a panoramic view over the City of Vienna. The Department of
New Media Technology is seeking an outstanding candidate to teach
undergraduate courses in Information and Communication Technology and/or
Interactive Marketing.

You will be enrolled in MU's PhD in Business and Socioeconomic Sciences and
participate in award-winning international research. Become part of a young
and interdisciplinary team focusing on Web Intelligence, Communication
Success Metrics, Knowledge Extraction, Text Mining and Information
Visualization. Additional information on our current research projects is
available at www.decarbonet.eu, www.pheme.eu and www.ucomp.eu.

The PDF Version of the Full Announcement at www.modul.ac.at/jobs contains
additional details on the advertised position. Please send your complete
application including cover letter, curriculum vitae, a motivation letter,
two recommendation letters, academic transcripts, and a statement of your
research and teaching interests to Ms Marika Finne at
marika.finne@modul.ac.at (in English; preferably as a single PDF file not
exceeding 8 MB).

---
Prof. DDr. Arno Scharl
MODUL University Vienna
Department of New Media Technology
Am Kahlenberg 1, 1190 Vienna, Austria
web | www.modul.ac.at/nmt
email | scharl@modul.ac.at
twitter | @weblyzard