BigData@Chalmers

Call for BIG DATA research projects

​Call for seed-project proposals (budget not exceeding 300 kSEK) that address BIG DATA related research.

Data driven research is becoming increasingly important for many research activities at Chalmers. To extract valuable patterns from big data and meet the related challenges, Chalmers and the ICT Area of Advance have created a group of data science research engineers with the purpose of contributing expertise for a few BIG DATA projects, i.e., projects with a strong emphasis on methods of data analysis that are needed in research projects.

We are prioritizing applied research involving new collaborations between researchers from different research communities, for example across different Areas of Advance, to support research groups in need of extracting and analysing large sources of data using machine learning. The group has previously participated to several successful research projects ranging across different fields of Chalmers.

The Area of Advance ICT has four research profiles that summarize some of the challenges and opportunities of the modern society in which ICT can contribute. One of them is Big Data (e.g. data collection and storage, data visualization, and data analytics through machine learning and high-dimensional statistics). This call is a part of the BIGDATA@Chalmers initiative.

The BIGDATA@Chalmers data science research engineers are available for consultations on the proposals during the weeks leading up to the submission deadline. They can be contacted through the mailing list datascience.cse@chalmers.se. It is recommended to involve them in the formulation of the proposal.

Requirements:
• The data science research engineers will provide collaboration and support in new, or existing projects, in an area of big data, such as machine learning/data analytics, data storage, and data visualization.
 
• The level of involvement should be not less than 30% of full time equivalent, and not larger than 50% full time equivalent during a period of 6 months.

• The projects should start in the period between 1st of September and 1st of October 2018. The exact date and extent can be discussed.

• The budget should not exceed 300 kSEK including indirect costs (OH). It can cover personnel costs, for example hiring masters students, or involvement of domain related researchers and engineers.

• The proposal for the support and collaboration should have a clear relation to Big Data and research. The proposal should be focused on utilization of data in different application areas in relation to Chalmers research activities.

The proposal form:
The application should be maximum 3 pages long, font 11pt Times–roman. A one-page CV of the main applicant and main project participants should be added. Maximum four projects participants should include their CVs.

The proposal should include:
a) The project title and the project abbreviation
b) The main applicants - name and e-mail and department
c) The preferred starting date and ending date for the project
d) A short overview of the project, with its research challenges and objectives and its relation to big data
e) A description of the type, size and availability of the data to be used in the projects including current availability and any restriction of use from intellectual property restrictions or other embargos.
f) A concrete description of the support requested from the data science research engineers.
g) The required expertise from BIGDATA@Chalmers (what type of expertise, and the expected involvement). Note: interaction with the team during the writing of the proposal is recommended, please see above.
h) The expected outcome and its potential for further research/activities.
i) The project overall budget and time-line.
j) The planned effort for the data science research engineers
k) The plan for dissemination including scientific publications

Important dates:
Submission: 20 May, 2018 Prolonged to 30th May, 2018
Notification: 20 June, 2018
Expected project start: Between 1 September - 1 October 2018 (can be negotiated)

Evaluation Criteria:
• How innovative is the project?
• How central is the use of big data methods in the project?
• How high is the potential impact of the project for its research field?

Submission:
The application should be submitted as one PDF document to
https://easychair.org/conferences/?conf=bdexperts2018

The proposals will be evaluated by the AoA ICT management group and decided by the AoA ICT Director and the unit manager of the data science research engineers.

General Questions can be addressed to Ivica Crnkovic, crnkovic@chalmers.se and Vilhelm Verendel  vive@chalmers.se. General information on the research within the Area of Advance ICT can be found www.chalmers.se/ict.

The data science research engineers and the project management team can be reached at datascience.cse@chalmers.se

Published: Mon 16 Apr 2018. Modified: Wed 09 May 2018