Important dates:
Submission: Feb 20, 2019
Notification: Mar 6, 2019
Expected project start: April-May 2019 (can be discussed)
Data driven research is becoming increasingly important for many
research activities at Chalmers. To extract valuable patterns from large
data sets 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 research
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 in 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). Moreover, AoA ICT is currently building up
the Chalmers AI Research Centre
(CHAIR) and would like to encourage projects that include applications
of machine learning that could lead to further AI-related projects at
Chalmers.
The unit of data science research engineers is
available for discussions about the proposals during the weeks leading
up to the submission deadline. This will ensure writing a proposal and
matching project proposals with relevant knowledge and methods. They can
be contacted through the mailing list dsre.cse@chalmers.se and 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 with big data, such as
machine learning/data analytics, data storage, data visualization, or
AI-related projects.
• 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
preferrably start in the period between 1st of April and 1st of May
2019. The exact date and extent can be discussed.
• The budget should
not exceed 300 kSEK including indirect costs (OH). It can cover
personnel costs, equipment, data, or involvement of domain related
researchers and engineers on your side. The budget should not cover the
involvement of the data science research engineers which is provided as
part of the project.
• 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 needed for the project (what type of expertise,
and the expected involvement). Note: interaction with the team during
the writing of the proposal is recommended
h) The expected outcome and its potential for further research/activities
i) The project overall time-line and budget (expenses on your side)
j) The planned effort for the data science research engineers
k) The plan for dissemination including scientific publications
Evaluation Criteria:
• How innovative is the project in your research domain?
• How central is the use of large data sources 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=bdrp2019
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. A review process will include a reference group
across different areas of Chalmers.
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 operational team can be reached at dsre.cse@chalmers.se
