Submission: Nov 22, 2019
Notification: Nov-Dec 2019
Expected project start: Dec 2019-Jan 2020 (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 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. For examples of previous projects, see this visualization.
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
The unit of data science research engineers is available to provide
feedback 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 firstname.lastname@example.org
and it is recommended to seek feedback in the formulation of the proposal.
- The data science research engineers will provide collaboration
and support in new, or existing projects, by application of machine
learning and data science to extract patterns out of one or a few
specific data sources, possibly also including AI-related techniques.
- 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
December 2019 and 15th of Jan 2020. The exact date and extent can be
- 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 Data Science/Machine learning 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) 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 what novel possibilities you see in using machine
learning or data science in your domain/research area
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 so
f) A concrete description of the how you would start to work
together with the data science research engineers to extract patterns
g) The different types of expertise in the project (what type of
expertise, and the expected involvement). Note: interaction with the
DSRE team about this during writing of the proposal is recommended
h) The expected outcome (including disemination/publication plan) and its potential for further research/activities
i) The project overall time-line and budget (expenses on your side)
• 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?
The application should be submitted as one PDF document to
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.