PhD Position in Computer Science: Advanced Unsupervised Evaluation and Model Selection for Clustering
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Odense M
The Department of Mathematics and Computer Science at the University of Southern Denmark (Campus Odense) invites applications for a PhD scholarship in computer science funded by the Independent Research Fund Denmark, Research Project 1 “CLEVR”. The successful applicant would become part of the Data Science & Statistics research group.
The proposed starting date is 1 January 2024 or soon thereafter. The appointment will be made for a term of three years at a competitive salary and will follow the PhD study programme at the Faculty of Science.
The ideal candidate has a background in or experience with one or more of the following topics:
The successful candidate will contribute to the development of advanced evaluation and model selection methodology for unsupervised clustering in a focused basic research project. This project proposes to revisit the common practice of clustering evaluation and to develop new techniques for the selection of methods and parameters for a clustering problem without the availability of guiding ground truth. The purpose of the proposed investigation is to improve (a) the evaluation practice in scientific research on clustering methods, and (b) the practical usability of clustering methods for scientists, engineers, and other researchers applying quantitative analysis in humanities and business contexts, or more broadly for any user of clustering methods for data analysis.
The applicant is expected to hold a relevant MSc degree in Computer Science, Data Science, Computational Statistics or another field that provides a sufficient degree of background in computer science, mathematics, statistics, and/or data science. Fluency in English and Python are required. Experience working with health data and programming experience with other languages (Java, C++ etc.) is a plus.
MSc candidates about to complete will also be considered and should attach a statement from their supervisors regarding their impending completion. The cover letter should elaborate on the fit of the candidate’s profile and experience to the requirements of the project.
For further information, please contact Professor Arthur Zimek ([email protected]).
Application, salary etc.
Appointment as a PhD Research Fellow is for three years. Employment stops automatically at the end of the period. The holder of the scholarship is not allowed to have other paid employment during the three-year period.
The successful applicant will be employed in accordance with the agreement on salaried PhD scholars between the Ministry of Finance and AC (the Danish Confederation of Professional Associations). Please check links for more information on salary and taxation.
The successful candidate will be enrolled at this university in accordance with faculty regulations and the Danish Ministerial Order on the PhD Programme at the Universities (PhD order).
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Application must be in English and made in the form of a Declaration of Interest including the following:
Shortlisting may be used in the assessment process.
Further information about the PhD-study can be found at the homepage of the University.
Applications must be submitted electronically using the link "Apply online". Attached files must be in Adobe PDF or Word format. Each box can only contain a single file of max. 10 Mb. We strongly recommend that you read How to apply before you apply.
Incomplete applications and applications received after the deadline will neither be considered nor evaluated. This also applies to reference letters.
Further information for international applicants about entering and working in Denmark.
The proposed starting date is 1 January 2024 or soon thereafter. The appointment will be made for a term of three years at a competitive salary and will follow the PhD study programme at the Faculty of Science.
The ideal candidate has a background in or experience with one or more of the following topics:
- clustering methods,
- (unsupervised) evaluation of clustering results,
- instance space analysis,
- Data Mining more broadly.
The successful candidate will contribute to the development of advanced evaluation and model selection methodology for unsupervised clustering in a focused basic research project. This project proposes to revisit the common practice of clustering evaluation and to develop new techniques for the selection of methods and parameters for a clustering problem without the availability of guiding ground truth. The purpose of the proposed investigation is to improve (a) the evaluation practice in scientific research on clustering methods, and (b) the practical usability of clustering methods for scientists, engineers, and other researchers applying quantitative analysis in humanities and business contexts, or more broadly for any user of clustering methods for data analysis.
The applicant is expected to hold a relevant MSc degree in Computer Science, Data Science, Computational Statistics or another field that provides a sufficient degree of background in computer science, mathematics, statistics, and/or data science. Fluency in English and Python are required. Experience working with health data and programming experience with other languages (Java, C++ etc.) is a plus.
MSc candidates about to complete will also be considered and should attach a statement from their supervisors regarding their impending completion. The cover letter should elaborate on the fit of the candidate’s profile and experience to the requirements of the project.
For further information, please contact Professor Arthur Zimek ([email protected]).
Application, salary etc.
Appointment as a PhD Research Fellow is for three years. Employment stops automatically at the end of the period. The holder of the scholarship is not allowed to have other paid employment during the three-year period.
The successful applicant will be employed in accordance with the agreement on salaried PhD scholars between the Ministry of Finance and AC (the Danish Confederation of Professional Associations). Please check links for more information on salary and taxation.
The successful candidate will be enrolled at this university in accordance with faculty regulations and the Danish Ministerial Order on the PhD Programme at the Universities (PhD order).
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Application must be in English and made in the form of a Declaration of Interest including the following:
- A research proposal/description of your approach to the above project (max one page excluding references).
- A letter stating your specific interest, motivation, and qualifications for the project in question (max. two pages) (please attach this under box “Application form”).
- Detailed CV, including personal contact information.
- Copies of diplomas, Bachelor as well as Master’s degree, including transcript of notes/grades.
- At least two signed reference letters. Should your referees wish to send their letters directly to us, please have them use e-mail: [email protected] mentioning your name and the title of the position in the subject line. And please note that these also need to reach us before deadline.
Shortlisting may be used in the assessment process.
Further information about the PhD-study can be found at the homepage of the University.
Applications must be submitted electronically using the link "Apply online". Attached files must be in Adobe PDF or Word format. Each box can only contain a single file of max. 10 Mb. We strongly recommend that you read How to apply before you apply.
Incomplete applications and applications received after the deadline will neither be considered nor evaluated. This also applies to reference letters.
Further information for international applicants about entering and working in Denmark.
Information og data
Denne ledige stilling har jobtypen "Forsker", og befinder sig i kategorien "Sundhed og forskning".
Arbejdsstedet er beliggende i Odense M.
Jobbet er oprettet på vores service den 17.8.2023, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Forsker
- Odense M
- Torsdag den 14. september 2023
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