Postdoc position in Biomedical Natural Language Processing (NLP)

Position: Post-Doctoral Fellow, Preventive Medicine, Health and Biomedical Informatics Division; Feinberg School of Medicine

Job Type: Full-time
Location: Chicago, IL
Required Travel: No
Compensation: Competitive
Start Date: Immediate

Job Description: Northwestern University has A POSTDOCTORAL RESEARCH FELLOW position in Biomedical Natural Language Processing (NLP) open in the Division of Health and Biomedical Informatics. The position is part of a collaborative project with Bluhm Cardiovascular Institute (BCVI). The successful candidate will participate in innovative research to use NLP methods for clinical information extraction. They will work in a stimulating environment of the Division of Health and Biomedical Informatics.
Organization Overview: Founded in 1851, Northwestern University is regarded among the leading research centers in the nation. The University maintains high national and international recognition for its accomplishments in medical research and boasts a proud tradition of excellence, with faculty who are members of the National Academy of Sciences, the National Academy of Engineering, and the American Academy of Arts and Sciences. The Feinberg School of Medicine – one of Northwestern University's twelve colleges and schools – stands out among the nation's medical schools. Feinberg has built a national reputation for excellence through a strong history of collaborative, interdisciplinary medical education and research, and along with Northwestern Memorial Hospital and Northwestern Medical Group is part of the premier academic medical center known as Northwestern Medicine. Feinberg stands out among the nation's research-intensive medical schools and consistently receives high marks in U.S. News & World Report surveys. Northwestern Memorial Hospital (NMH) is one of the country's leading academic medical centers located in downtown Chicago. NMH's Bluhm Cardiovascular Institute (BCVI) is a nationally recognized program that delivers highly specialized cardiovascular care. In 2014, U.S. News & World Report ranked the Cardiology and Heart Surgery program 13th in the nation and ranked NMH number one in the Chicago metro region.

Specific Responsibilities:

• Conduct clinical natural language processing research (primarily information extraction) within the scope of cardiovascular areas such as Bicuspid Aortic Valve (BAV), heart failure and functional MR.
• Consultation with co-investigators on appropriate design and development.
• Work toward independent research writing papers, manuscripts, presentations and briefs.
• Supervise students and other techs working in the dry lab.
• Prepare written reports and publications as primary author and present research findings at regional and national meetings. 

Minimum Qualifications:

• MD with experience in informatics OR PhD in Computer Science, Biomedical Informatics or related fields with a focus on Natural Language Processing or Computational Linguistics and exposure to clinical notes
• Strong publication record in Biomedical Natural Language Processing.
• Ability to work in a collaborative environment, with a strong commitment to achieving research goals.
• Solid programming skills including expertise in Java and SQL.

Preferred Qualifications:

• Prior experience in mining information from cardiovascular clinical notes
• Exposure to cardiovascular domain

To Apply:
Contact Dr. Jonnalagadda (sid@northwestern.edu) with your CV, 2-3 references and research statement.

Openings

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IEEE BigData 2014 Call for Doctoral Consortium

IEEE BigData 2014 Call for Doctoral Consortium

Overview

The IEEE International Conference on Big Data (IEEE BigData) provides a leading forum for disseminating the latest research, development, and applications in big data. The IEEE BigData 2014 Doctoral Consortium will provide doctoral students with the opportunity to have substantive interaction with other researchers in this demanding field regarding their proposed dissertation research.

The objectives of the Doctoral Consortium are:

●     To give doctoral students a forum for presenting and discussing their research with experienced researchers in the field of big data.

●     To provide students with an opportunity to establish a supportive community, including other doctoral students at a similar stage of their dissertation research.

Mentoring

Each student participating in the Doctoral Consortium will be assigned a senior researcher, a leader in the diverse specialties that make up the big data field, to serve as a mentor who will provide advice not only on the substance of the research but also on career-related issues. The day of the Doctoral Consortium will feature student presentations with plenary discussions, individual meetings with experienced researchers, and interactive networking sessions over meals and breaks.

Financial Support

Thanks to generous funding from the National Science Foundation (NSF), we will be able to support all the accepted students. Funds are requested for student travel awards to defray the cost of participation and will be granted to Ph.D. students at U.S. Universities who attend the consortium.

Eligibility and Selection Criteria

The doctoral student symposium is aimed at Ph.D. students who are either in the early stages of formulating a topic for their doctoral dissertations or are close to completing a thesis proposal (or equivalent). The goal of the symposium is to provide early feedback that will improve the quality of their work. We will give preference to students who are far enough from completing their thesis that the feedback they receive at the event can impact their work. Before submitting, students should discuss this criterion with their advisor or supervisor, who must write a short letter of support as part of the application. Those accepted are required to attend the event in person.

Selection will be based upon the expected potential of both the student and their proposed work, as well as the expected benefit to the student from participation. Priority will be given to students whose research goes beyond locally available expertise at their home institutions. Special consideration will be given to women and under-represented minorities.

Submission Guidelines

Required Materials. The application to participate in the doctoral student symposium must include:

1.    A solely-authored written paper (5 pages max) that will consist of:

a.  An extended abstract summarizing the applicant's Ph.D. research, including: Problem description, background, and significance;

novelty relative to the state of the art (related work and their    

shortcomings);

approach, data, methods;

current results and future plans.

b.     Applicant Curriculum Vitae.

2.    A one page appendix to the paper (placed after the references) that should include the following:

●      A statement by the student (half a page or less) explaining why they want to participate in the IEEE BigData 2014 Doctoral Consortium at this point in their doctoral studies, and how they hope it will contribute to the development of their work and potential future career.

●      A statement by their advisor / supervisor saying how the student would benefit by attending the Consortium and explaining what particular expertise areas essential to the student's studies are not available locally at the student's home institution. Advisors should also specifically state whether the student has written, or is close to completing, a thesis proposal (or equivalent), and when they expect the student would defend their dissertation if they progress at a typical rate.

Format Requirements. Submitted papers must be written in English, formatted according to IEEE Format guidelines, and submitted as a single PDF file (embedding all required fonts). The paper should be no more than 6 pages in length (including the one page appendix). The first page must contain the title of the paper, full author name, affiliation and contact details, an abstract of up to 250 words, and up to 3 keywords describing the topic areas.

Doctoral Consortium submissions must be submitted via the conference submission site. It is the responsibility of the student to ensure that their submissions use no unusual format features and are printable on a standard printer.

Schedule

25 August 2014: Submissions due
15 September 2014: Acceptance notifications
27 October 2014: Doctoral Consortium

Doctoral Consortium Co-Chairs

●     Jingrui He (Stevens Institute of Technology)

●     Dimitrios Tsoumakos (Ionian University)

Job Position at FIZ Karlsruhe

Research Assistant

FIZ Karlsruhe - Leibniz Institute for Information Infrastructure, located in Germany, is a leading international provider of scientific information and services. Our mission is to supply scientists and companies with professional research and patent information as well as to develop innovative information services.

We are seeking a research assistant to start at the earliest possible date.

=== Your Future Responsibilities ===

The prospective candidate will work in the context of patent information. His tasks will concentrate on the evaluation, adaption and application of tools and methods for information mining and information retrieval, including text mining, semantic search, and ontologies. Visual information will be of interest, too. He will develop prototypes for new functionalities and will devise concepts for their integration in the existing company platform.

The candidate will also have an eye on the relevant research area and the specific market to spot relevant innovations and trends at an early stage.

=== Your Qualifications ===

The ideal candidate holds a MSc level degree in computer science or information science and has a very good background in two or more of the following areas: information retrieval, semantic search, text mining, computer linguistics, ontologies. He has very good knowledge of software engineering and object oriented development, including good experience with Java and Eclipse. He is familiar with the design of user interfaces and visualisation methods for textual information. As an innovative and creative personality, he likes to work pragmatically in the context of applied research. To integrate in our team, he has excellent written and verbal command of German and English.


Our working time models enable an optimal balance between professional and family life (www.fiz-karlsruhe.de/jobs.html). Applications from severely handicapped individuals who have comparable qualifications will receive preferential consideration. Compensation is set according to the Wage Agreement for Public Service (TVöD). The initial employment contract is limited to a two-year period. Conversion of this contract to a permanent position is expressly foreseen provided certain requirements are met.


Please submit your application while specifying Job Number 11/2014/S by post or e-mail to:

FIZ Karlsruhe
Leibniz Institute for Information Infrastructure
Human Resources Department
Hermann-von-Helmholtz-Platz 1
76344 Eggenstein-Leopoldshafen
Germany
E-mail: bewerbung@fiz-karlsruhe.de
Homepage: www.fiz-karlsruhe.de







------------------------------------------------------------------------------

FIZ Karlsruhe - Leibniz-Institut für Informationsinfrastruktur GmbH.
Sitz der Gesellschaft: Eggenstein-Leopoldshafen, Amtsgericht Mannheim HRB 101892.
Geschäftsführerin: Sabine Brünger-Weilandt.
Vorsitzender des Aufsichtsrats: MinDirig Dr. Thomas Greiner.

Cloud Computing Training @ JPA Solutions, Bangalore

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       JPA Solutions is one of the pioneers in software training. We delivered the training for many individuals, groups, and corporations. We prioritize to give our best quality of training and further assistance. You have complete freedom to customize course topics and time. Register yourself for unbelievable prices.

Objectives 

ü  Master the concepts of Cloud Computing
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ü  Cloud Computing is supposed to help IT department
ü  Cloud Architect,
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ü  The Principles of Cloud Computing, implementing and managing Cloud Computing.

Cloud Computing is a technology that uses the internet and central remote servers to maintain data and applications. Cloud computing allows consumers and businesses to use applications without installation and access their personal files at any computer with internet access. This technology allows for much more efficient computing by centralizing data storage, processing and bandwidth.

To do this, cloud computing uses networks of large groups of servers typically running low-cost consumer PC technology with specialized connections to spread data-processing chores across them. This shared IT infrastructure contains large pools of systems that are linked together. Often, virtualization techniques are used to maximize the power of cloud computing.

The Course duration is 40 hours & Fees is 23K (AWS+Openstack).

The Course duration is 40 hours & Fees is 20K (AWS+OpenNebula).

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Post-doc position - University of Basel, Switzerland

A fully funded Post-doc position at the Databases and Information Systems Research Group, University of Basel, Switzerland

http://dbis.cs.unibas.ch/


The Databases and Information Systems Research Group at the University of Basel offers a Post-Doc position for the period of 24 months in the research project IMOTION (Intelligent Multi-Modal Augmented Video Motion Retrieval System) funded by the Swiss National Science Foundation (SNF) in the context of the
EU ERA-Net initiative Chist-ERA. The targeted start date is between August 15, 2014, and October 15, 2014.

--- Requirements:
- a completed PhD degree with outstanding performance in Computer Science or a related field, preferably with focus on
  databases, multimedia information retrieval, distributed information systems
- good level of both English (mandatory) and German (desired) language skills, written and spoken
- excellent Java, preferably also C++, programming skills
- experience in software development
- ability to work in a team


--- Project Description:
You will be working in a research project in the following field
- Content-based multimedia retrieval (particularly focusing on motion-based retrieval in video collections)
- Application of technologies for Big data analysis and processing (e.g., Map/Reduce) for multimedia analysis and retrieval
- Index structures for large multimedia collections
- Novel interfaces for multimedia retrieval (e.g., speech, sketches)


--- About the Computer Science Department:
The University of Basel, founded in 1460, is the oldest university in Switzerland. The Department of Mathematics and Computer Science (see http://www.cs.unibas.ch) is located in a modern building in the center of the town, close to the river Rhine and to many other departments and facilities. With its about 100 members from all over the world, it offers a friendly atmosphere and a pleasant working environment.


--- About Life in Basel:
Basel is an attractive, green town located on the river Rhine, at the border between Switzerland, France and Germany. Its position makes it a lively, international, multi-cultural center. The city, with its large variety of high class museums, its University and its Music Academy, makes it one of the most attractive cultural
areas in Switzerland, but it is also a major industrial center and an important commercial crossroad, hosting every year trade shows like "BaselWorld" or "Art Basel", attracting visitors and business people from all over Europe. Its many parks, the beautiful, well-preserved old town center dominated by the Cathedral, and the crowded terraces on the banks of the Rhine make it a pleasant, attractive place to visit but also to live and work.


--- How to apply:
Candidates are requested to submit a cover letter, an academic curriculum vitae, transcripts of academic diplomas (plus diploma supplements), all in one pdf document, to dbis-cs@unibas.ch, preferably before July 20, 2014 specifying in the subject the words "Post-Doc Position" and your complete name. The position
will remain open until filled.

For any further inquiry, please write to: dbis-cs@unibas.ch