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How do we make music with wicked sounds generated by Deep Learning 
architectures?


We are looking for candidates for a PhD position, in the 
projectInteractive Sound Spaces - Deep Learning Architectures for 
Creative Sound Practices and Musical Applicationsat Chalmers University 
of Technologyin Sweden. We will research and develop novel Deep Learning 
tools for various musical interaction modalities and possibilities, to 
thereby help, guide, and enable creative practitioners in the novel ways 
of exploring, selecting, designing, and performing sound. Please find 
the more details of the project at the following link: 
https://tinyurl.com/ypyjxz83


The deadline for applications is April 15th, 2024.


This position is part of a broad call for up to five fully funded PhD 
positions in Computer Science and Engineering covering areas such as: 
data science, logic and types, natural language processing, formal 
methods, software engineering, interaction design, computer graphics, 
and networks and systems. Candidates choose a project from a list of 
various topics in Computer Science fields to apply. If you would like to 
work in Deep Learning architectures for experimental music and sound 
practices,


Please state in your cover letter that you are applying for the project 
DSAI01 - Kivanc Tatar - Interactive Sound Spaces - Deep Learning 
Architectures for Creative Sound Practices and Musical Applications. 
More info about the application procedure is below.


Please submit your application using the buttonat the end of the 
official call pageat the link below:


https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=12588&rmlang=UK 
<https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=12588&rmlang=UK>


Qualifications

To qualify as a PhD student, by the starting date, you must complete the 
requirements for a master's level degree of at least 240 higher 
education credits in Computer Science and Engineering or in a study 
program relevant to your chosen research area.


The working language at the department is English, the position requires 
sound verbal and written communication skills in English.



Contract terms

Full-time employment.The position is limited to a maximum of five years.


We offer

Chalmers offers a cultivating and inspiring working environment in the 
coastal city of Gothenburg <https://www.goteborg.com/en/>. Read more 
about working at Chalmers 
<https://www.chalmers.se/en/about-chalmers/work-with-us/chalmers-as-an-employer/>and 
our benefits 
<https://www.chalmers.se/en/about-chalmers/work-with-us/chalmers-as-an-employer/benefits-and-conditions/>for 
employees.


Swedish is not a pre-requisite for applying. If you wish to learn 
Swedish, Chalmers offers Swedish courses to support your integration in 
Swedish society.


Application procedure

The application must include the following materials:

  *

    Selection of minimum one and maximum two of the projects indicating,
    which of the two is the preferred project to work on.

  *

    A cover letter explaining the merits of the candidate and describing
    clearly their suitability to the firstranked project. The cover
    letter must not exceed two pages. In the case of candidates who have
    not completed their required qualifications, the letter should
    include a clear statement as to their expectations to complete their
    qualifications.

  *

    A CV detailing previous experience including links to additional
    materials such as theses, publications, previous projects, or similar.

  *

    Certificates of previous degrees and transcripts of courses the
    student passed and their grades.

The application is to be written in English.The interview and assessment 
process will include:

 1.

    Shortlisting:

     1.

        Shortly after the application deadline, suitable candidates will
        be contacted by the respective supervisors.

     2.

        Candidates should be ready to present a previous project at a
        master level within at a short notice of about a week.

 2.

    Interview:

     1.

        Shortlisted candidates will be asked prior to the interview to
        complete a small take-home assignment related to the project
        they have selected.

     2.

        Shortlisted candidates will be invited to an online interview of
        about 1 hour, including a discussion of their assignment and
        other relevant questions.


If you have questions, please feel free to contact:

Regarding employment, application procedures, and positions: Sanna Staf 
([log in to unmask] <mailto:[log in to unmask]>)

Regarding the projects and other questions: Nir Piterman 
([log in to unmask])


Thank you,

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