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Student Assistant - Programming, Machine Learning and MLOps
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Thursday 07 Oct 21
Apply for this job
Apply no later than 22 October 2021
Apply for the job at DTU Compute by completing the following form.
We are looking for a talented student to work on deployment of machine
LiRA (Live Road Assessment) is a project which aims to use Machine Learning
to predict road conditions based on the data collected from various sensors
installed in vehicles. Your main responsibility will be to develop, implement,
and document software components that will be used for deployment of machine
Our expectations of you
We are looking for a student assistant who has interest in machine learning
deployment with documented experience in Python, Docker and understanding of
machine learning lifecycle. Previous experience with deployment of machine
learning models is an advantage. You should be used to working independently,
be strong in detail and also have very good English skills.
What we offer in return
We offer a challenging and independent student job where you will in the
central part of developing components for machine learning deployment. You
will have insight into the entire research project. and into the process of
conducting multi-disciplinary international research at DTU and in
collaboration with other international universities. We offer flexible working
hours (especially around exams).
Salary and appointment terms
The appointment will be based on the collective agreement for student
lecturers at universities etc. (SUL). Working hours are on average 10 hours
per week and can be organized flexibly in relation to holidays, exams, etc.
Starting date is 1 November 2021 (or according to mutual agreement). The
employment runs as long as you are an active student.
The workplace is DTU Lyngby Campus.
Application and contact
Please submit your online application no later than Friday, 22 October 2021
(Danish time). You can apply for the position online at
www. career.dtu.dk. Open the “Apply online” link, fill out the form and attach
your motivated application, CV and documentation for study activity. In the
application, we would like to hear a little about you, your competencies and
why you are applying for the position.
If you would like additional information about the position, please contact
postdoc Milena Bajic at e-mail: firstname.lastname@example.org. Read more about LiRA prject at
All interested candidates irrespective of age, gender, race, disability,
religion or ethnic background are encouraged to apply.
DTU Compute is a unique and internationally recognized academic department
with 385 employees and 11 research sections spanning the science disciplines
mathematics, statistics, computer science, and engineering. We conduct
research, teaching and innovation of high international standard – producing
new knowledge and technology-based solutions to societal challenges. We have a
long-term involvement in applied and interdisciplinary research, big data and
data science, artificial intelligence (AI), internet of things (IoT),
smart and secure societies, smart manufacturing, and life science. At DTU
Compute we believe in a diverse workplace with a flexible work-life balance.
Technology for people
DTU develops technology for people. With our international elite research and
study programmes, we are helping to create a better world and to solve the
global challenges formulated in the UN's 17 Sustainable Development Goals.
Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and
create value using science and engineering to benefit society. That vision
lives on today. DTU has 12,900 students and 6,000 employees. We work in an
international atmosphere and have an inclusive, evolving, and informal working
environment. DTU has campuses in all parts of Denmark and in Greenland, and we
collaborate with the best universities around the world.