Research Assistant in AI Sound Processing

DTU Compute
Wednesday 09 May 18

Apply for this job

Apply no later than 23 May 2018
Apply for the job at DTU Compute by completing the following form.

Apply online

DTU Compute invites applications for an appointment as Research Assistant in AI Sound Processing.

DTU Compute is an internationally unique academic environment spanning the science disciplines mathematics, statistics and computer science. Further, DTU Compute is an engineering department covering informatics and communication technologies (ICT) in their broadest sense.

The aim of the new position is to expand the Section for Cognitive Systems’ research in machine learning methodology with application to sound and machine learning. 

The field of research resides in the cross section between software development and current machine learning AI research. The aim is to provide large-scale acquisition and analysis of sound using machine learning and modeling of user interaction. The research is carried out in a collaboration with Center for Macroecology, Evolution and Climate, Natural History Museum of Denmark, University of Copenhagen.

Responsibilities and tasks
Sound is all around us, yet the understanding of how this affects individual and collective behavior and experience is still inadequate. The position will address the possibility of answering research question in this domain by engaging many users in a large-scale sound acquisition and analysis platform to get richer sound data and interpretations in users’ daily life.

The research will focus on: 

  • Development of data acquisition backend;
  • Development of data acquisition frontend including user app;
  • Container based large scale data processing production setup;
  • Large scale analysis of sound and related information using machine learning and deep learning technologies;
  • Data-driven learning based models for user interaction.

Candidates should have a master’s degree in Software development or equivalent.

Further qualifications:  

  • Experience in machine learning methods and software implementation, preferably deep learning models and architectures;
  • Experience in full stack development and current container based solutions for   research purposes is necessary;
  • Experience with programming languages such as: python, go, f#, c#, Java, dart, objective-c, Swift, kotlin, jsx;
  • Experience with team based SW development and strict deadlines;
  • AwS setup skills appreciated:
  • Keen interest in AI setups, post processing of big data resources.

Moreover, we expect you to: 

  • Value knowledge sharing and multi-disciplinarity
  • Thrive on collaboration and teamwork 

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and terms of employment
The appointment will be based on the collective agreement with the Confederation of Professional Associations. The allowance will be agreed with the relevant union. The position is full time (37 hours a week). The period of employment is 12 month starting as soon as possible, preferably 1 June 1 2018. 

You can read more about career paths at DTU here.  

Further information
Further information may be obtained from Professor Jan Larsen, tel: +45 4525 3923.

You can read more about DTU Compute on   

Application procedure
Please submit your online application no later than 23 May 2018 (local time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill in the online application form, and attach all your materials in English in one PDF file. The file must include: 

  • Application (cover letter)
  • CV
  • Diploma (MSc)

Applications and enclosures received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.

DTU Compute has a total staff of 400 including 100 faculty members and 130 PhD students. We offer introductory courses in mathematics, statistics, and computer science to all engineering programmes at DTU as well as specialised courses to the mathematics, computer science, and other programmes. We offer continuing education courses and scientific advice within our research disciplines, and provide a portfolio of innovation activities for students and employees. 

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government and public agencies.