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PhD Position in Algorithms for Machine Learning and Data Mining at the Algorithms Group, IT University of Copenhagen

IT-Universitetet i København

København, Storkøbenhavn

Indrykket
06-08-2022
Kontakt
IT-Universitetet i København
Rued Langgaards Vej 7
2300
København S
Tlf
72185000
Praktisk information
Oprettet
06-08-2022
Udløber
15-08-2022
Kviknummer
331225773
Jobtype
Fuldtid
Arbejdsområde
Forskning og undervisning
Stillingsbetegnelse
Ph.D. Stipendiat
Erfaringer - I højere grad
Ikke angivet (Forskning og udvikling)
Sprog
Dansk Læse/ tale

The algorithms group at the IT University of Copenhagen welcomes applicants from aspiring PhD students with a focus on algorithms for machine learning and data mining applications. The candidate is supervised by Associate Professor Martin Aumüller (ITU) and co-supervised by Professor Arthur Zimek (SDU, Odense). The ideal starting date is October 2022.

The IT University’s vision is to create and share knowledge that is profound and leads to groundbreaking information technology and services for the benefit of humanity. The Computer Science Department seeks to conduct research and education that are both foundational and have impact on industry and society.

The Project. The project “Benefit and Bias of Approximate Nearest Neighbor Search for Machine Learning and Data Mining” received funding under the DIREC SciTech program.

The search for nearest neighbors is an emerging and increasingly vital component in data analysis tasks, for example using vector embedding databases. Typically, the search is the bottleneck in terms of efficiency. Approximate nearest neighbor (ANN) search methods are often employed to speed up the application. However, different methods for ANN search come with different biases that can be positive or negative for the downstream application. The project’s goal is to understand the benefit and bias of approximate nearest neighbor search for machine learning and data mining applications. The goal is to design and evaluate nearest neighbor search techniques to speed-up key components for clustering, outlier-detection, and other applications. The successful candidate will be involved both in the design, implementation, and evaluation of such systems.

The ideal candidate:

  • Has experience with the design and analysis of randomized algorithms and data structures
  • Has a good overview of machine learning and data mining applications, e.g., neural network training, clustering, and outlier detection
  • Has good implementation skills with an eye for optimization/engineering (knowledge of C++ and/or Rust is an advantage but not necessary)
  • Is self-motivated and enthusiastic about carrying out research
  • Has excellent English communication skills
The project will be conducted in cooperation with the Data Science and Statistics group of the University of Southern Denmark in Odense.



Job Tasks

The tasks include amongst others:

  • To carry out research in the project
  • To publish scientific papers and present them at international venues
  • To attend courses for academic development and assist in teaching
  • To finalize the research training by writing and completing a PhD dissertation


Research Environment

The successful applicant will join the Algorithm’s group at ITU and will be supervised by Associate Professor Martin Aumüller and co-supervised by Professor Arthur Zimek (SDU). The project will be conducted in cooperation with the Data Science and Statistics group of the University of Southern Denmark in Odense. Regular travel between Copenhagen and Odense is planned throughout the project period.

The algorithms group at ITU carries out research in theoretical computer science and algorithm engineering. We strive for academic excellence and collegial respect. Located in one of the most-livable cities in the world, we provide excellent salary, working conditions, and a down-to-earth research environment. Copenhagen has a strong educational system, a rich cultural life, universal healthcare, good childcare, and well-functioning infrastructure. Copenhagen is among the world’s most livable cities according to the Economist Global Liveability Index. Living and working in Copenhagen will be a pleasant experience for you and your family.



General information

The IT University of Copenhagen (ITU) is a teaching and research-based tertiary institution concerned with information technology (IT) and the opportunities it offers. The IT University has more than 160 full-time Faculty members. Research and teaching in information technology span all academic activities which involve computers including computer science, information and media sciences, humanities and social sciences, business impact and the commercialization of IT.



Salary

Appointment and salary will be in accordance with the Ministry of Finance’s agreement with the Danish Confederation of Professional Associations (AC).



Application
The application must be in English and must include:

  • A cover letter (max. 1 page) explaining why you are interested in the position and how your profile fits the position.
  • Documentation of academic degree(s) including grade transcripts that document outstanding academic achievements.
  • Curriculum Vitae, which must include two professional/academic references.
The application may also include:

  • Relevant scientific publications written by the applicant
  • A copy of the MSc thesis (or working draft)
  • Letters of recommendation.
Applications without the above-mentioned required documents will not be assessed.

The applicant will be assessed according to the Appointment Order from the Ministry of Science, Technology and Innovation of 13 March 2012.

The IT University may use shortlisting in connection with the recruitment process. In case of shortlisting, the Chair of the hiring committee selects applicants for assessment in consultation with the hiring committee after the application deadline. All applicants are notified whether their application has been passed for assessment. The shortlisting of candidates for assessment is based on the criteria in the job posting.

Early contact with our faculty staff is strongly encouraged.

Questions about the positions can be directed to Associate Professor Martin Aumüller, IT University of Copenhagen, via maau@itu.dk .



Application procedure

You can only apply for this position through our e-recruitment system. Apply by pushing the button "Apply for position" in the job announcement on our website.

Please read the guidelines for applicants carefully before filling in the application form. You can see the guidelines through this link.

Applications must be written in English. All other documents, such as transcripts must be accompanied by a translation in English or Danish.

Please note that all application material will be destroyed after the assessment.

Application deadline: 15 August 2022, at 23:59 CEST.

Applications/enclosures received at ITU after the application deadline will not be taken into consideration. If you submit an application, it is your responsibility to ensure that it arrives before the deadline so please allow sufficient time for upload of publications and other documents.

The IT University invites all qualified researchers regardless of age, gender, religious affiliation, or ethnic background to apply for the positions.

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Virksomhedsinformation
IT-Universitetet i København
Rued Langgaards Vej 7
2300
København S
Tlf
72185000
Praktisk information
Oprettet
06-08-2022
Udløber
15-08-2022
Kviknummer
331225773
Jobtype
Fuldtid
Arbejdsområde
Forskning og undervisning
Stillingsbetegnelse
Ph.D. Stipendiat
Erfaringer - I højere grad
Ikke angivet (Forskning og udvikling)
Sprog
Dansk Læse/ tale
Beliggenhed
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