Part-time Assistant Programmers - DTU Compute

Skip to main content.

• Profile
• Sign Out

View More Jobs
Part-time Assistant Programmers - DTU Compute
Kgs. Lyngby, Denmark
Job Description

We are currently seeking 1-2 skilled part-time programmers who can work independently and in a structured manner. 
The job
The primary responsibilities will involve organizing data and code, data processing of 3D images, and programming related to image processing.
You will be part of a team of researchers working with 3D Image analysis in collaboration with users from many different fields. A central part of the team’s activities lies in creating new tools using machine learning enabling better and faster analysis. To support this work, we have initiated the QUAITOM project – The Infrastructure for QUantitative AI-based TOMography. The purpose of QUAITOM is to establish a data science infrastructure for AI-based quantitative analysis of X-ray and neutron tomography (μCT). We call this infrastructure the QIM Platform. By applying novel concepts and a user-friendly interface, the power of machine learning will for the first time be made available for the very large and scientifically diverse user community within μCT imaging.
As an assistant programmer on the team, you will be part of the practical work with creating the datasets as well as the work with curating the data and setting up the platform. Depending upon your skills you will also be involved in various parts of user collaborations. 
Our expectations of you
We are looking for part-time programmers with experience handling volumetric data, programming in Python, and navigating on a High Performance Computing cluster. Perhaps you are a data science student, but not necessarily. It is expected that you are comfortable with working on your own and most importantly, you should be well-organized with an eye for detail. 
The preferred skills are:  

• Experience with programming in Python 
• Experience with image processing and analysis 
• Experience with machine learning including deep learning 

Primary activities the position will include are:  

• Organize and clean datasets
• Structure code and software for analysis tools
• Create tutorials for 3D image analysis
• Process datasets using deep learning methods 

We expect you to be good at communicating and a team-oriented person with good problem-solving skills, who is happy to share ideas with the group and to implement ideas from others. You are keen to take part in developing the foundation for the next generation of deep learning image analysis techniques and the scientific work it will facilitate. 
What we offer in return
We offer an interesting and challenging job with a high degree of freedom regarding when and where the tasks are conducted. You will be a part of our small research group in an international environment and will have the opportunity to learn new tools and be part of the group’s research activities.
Salary and appointment terms
Salary and employment terms in accordance with the OAO-S Joint Agreement and the organization agreement for IT employees (Prosa) in the service of the state. 
The working hours will be minimum 9 hours pr. week with the possibility of up to 15. The position will run until June 2025.
Application and contact
Please submit your online application no later than Wednesday, 24 January 2024 (23:59 Danish time). Open the “Apply now” link, fill out the form, and attach your motivated application, CV, and exam certificates.
If you would like additional information about the position, please contact Professor, Anders Bjorholm Dahl at +45 5189 6913, or Senior Executive Officer, Rebecca Engberg at +45 2112 3466.
Applications received after the deadline will not be considered.
All interested candidates irrespective of age, gender, race, disability, religion, or ethnic background are encouraged to apply.
DTU Compute
DTU Compute is a unique and internationally recognized academic department with 385 employees and 10 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 mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 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.

Apply Now
Job Info

• Job Identification 2964
• Job Category TAP
• Posting Date 01/09/2024, 08:06 AM
• Apply Before 01/24/2024, 05:59 PM
• Locations Richard Petersens Pl., Kgs. Lyngby, 2800, DK

Similar Jobs

• 
  Part-time Assistant to assist in Microfabrication Process – DTU Health Tech
  Kgs. Lyngby, Denmark Posted on 01/10/2024
  

  We are looking for a person to assist in the microfabrication process of our centrifugal microfluidic device. The goal of the project is to evaluate the technology's market potential and prepare a business plan for commercialization. You will have opportunity to be a part of start-up team.

  
  
  
• 
  Part-time employee for laboratory work - DTU Chemical Engineering
  Kgs. Lyngby, Denmark Posted on 01/10/2024
  

  At CERE we are currently developing a world-leading research group in gas cleaning technologies. We are looking for a part-time employee who are interested in joining our team.

  
  
  
• 
  External Associate Professor in Nonlinear and Nonstationary Time Series Analysis – DTU Compute
  Kgs. Lyngby, Denmark Posted on 01/05/2024
  Be the First to Apply
  
  

  At DTU Compute we conduct research and teaching related to the next generation of advanced data-driven modelling and AI. The Section for Dynamical Systems invites applications for a position as External Associate Professor in Nonlinear and Non-stationary Time Series Analysis. The candidate will be responsible for lectures in Advanced Time Series Analysis. This course aims at giving an introduction to advanced methods for time series analysis. A special attention is paid on nonlinear and non-stationary systems, and the use of stochastic differential equations for modelling in engineering and finance.

  
  
  

Page Part-time Assistant Programmers - DTU Compute - DTU Career Site Careers loaded

Skip to main content.
American English Dansk American English

I am an employee
 
Skip to main content.
Are You Still With Us?
It seems you've been gone for a while. For security reasons we will end your session automatically in 03:00 unless you would like to continue working.
End Session Continue Working
 
Skip to main content.
Work Summary

This summary is generated by AI Assist. Click inside the summary text box to make changes as necessary.

Discard Add Summary