Tag Archives: IT-Universitetet

18-month PostDoc position in Software Ecosystems for Sustainable Development at the IT University of Copenhagen

18-month PostDoc position in Software Ecosystems for Sustainable Development at the IT University of Copenhagen

The IT University of Copenhagen invites applications for a 18 months PostDoc position in Software Ecosystems starting October 1, 2022 or soon thereafter. 

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 position is fully funded by the interdisciplinary project “SustAinable Irrigation Advisories for Mid-Himalayan Farmers using Smart Satellite Image Analytics” together with DHI GRASS and the Indian Institute of Technology Mandi (IIT Mandi). The project aims at developing sustainable irrigation advice for mid-Himalayan smallholder farmers by developing functionality for satellite image analysis-based irrigation advice – for application to the Himalayan region. To promote the economic viability and sustainability of such services, the project takes a software ecosystem (SECO) approach to support flexible interaction between relevant stakeholders.

We are looking for a candidate who could either strengthen (a) the design and implementation of the software infrastructure connecting farmers, satellite image analysis service, and possible 3rd parties supporting business models to be developed in the project, or (b) user-centered design of a mobile app delivering irrigation advice to Himalayan farmers. The successful candidate should be prepared to spend extended periods at the IIT Mandi, especially, if engaging with co-design with Himalayan farmers. Social skills are therefore important.

It is expected that the successful candidate has a background in computer science, especially software engineering or co-design/participatory design. 

The PostDoc position is open from October 1, 2022 and runs for 18 months.
The project is led by Yvonne Dittrich, Professor in Software Engineering.
 

Research environment
The successful applicant will join the Software Engineering Group and will cooperate with the Danish and Indian project members.

The Computer Science department at ITU is a strong, highly international institution.

We aim at building a diverse team. All applications are welcome, especially those from members of underrepresented groups are encouraged.

Job tasks
The tasks include amongst others:

  • To carry out research on the project
  • To publish scientific papers and present them at international venues
  • To collaborate with international project partners

Qualification Requirements

  • A PhD degree in Software Engineering or Human Computer Interaction/Co-Design or similar (or submits a statement signed by the supervisor with the expected delivery time for the PhD)


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.

Questions about the position can be directed to Professor Yvonne Dittrich, IT University of Copenhagen, tel. +45 7218 5177 or email ydi@itu.dk.


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 pages) explaining why you are interested in the position and how your profile fits the position.
  • Documentation of academic degree(s) including grade transcripts that documents outstanding academic achievement.
  • Up to five scientific publications written by the applicant A numbered list of publications. The enclosed publications should be marked with an asterisk (*)
  • Curriculum Vitae, which must include two professional/academic references.


The application may also include:

  • A copy of the PhD thesis (or working draft)
  • Letters of recommendation.


Applications without the above-mentioned required documents will not be assessed.

It is understood that even highly qualified applicants will satisfy these requirements to varying degrees, for example because of differences in publication cultures in various research fields.

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

Early contact with our faculty staff is strongly encouraged.
 

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.

The IT University may use shortlisting in connection to 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.

Application deadline: 1 September 2022 at 23:59 CEST

Interviews are planned for (tentatively): September 2022

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.

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

Read the job description at the university homepage

Apply for position

Post expires on Thursday September 1st, 2022

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

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

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.

Read the job description at the university homepage

Apply for position

The IT University of Copenhagen (ITU) was established in 1999 and is Denmark’s leading university focusing on IT research and education. We deliver state-of-the-art teaching and research within computer science, business IT and digital design.

Our ambition is to create and share knowledge that is profound and leads to ground-breaking information technology and services for the benefit of humanity.

The university collaborates closely with industry, the public sector and international researchers and is characterized by a strong entrepreneurial spirit among students as well as researchers.

ITU’s modern campus in central Copenhagen is designed by the world-renowned Danish architect Henning Larsen.

ITU in numbers

  • 2600 students
  • 310 staff members (full-time equivalent)

Post expires on Monday August 15th, 2022

PhD positions in Computational Communication at the HCDS research group, IT University of Copenhagen

PhD positions in Computational Communication at the HCDS research group, IT University of Copenhagen

The HCDS team (Human Centered Data Science), in collaboration with the NERDS (Network Data and Society) research group, at the IT University of Copenhagen welcomes applications from aspiring PhD students in Computational Communication Studies, with focus on Computational Social Science, Network Analysis and Social Media Analysis.

The IT University of Copenhagen invites highly motivated individuals to apply for a PhD position starting in October or soon thereafter. 

We invite applicants who want to contribute to the IT University’s vision of creating and sharing knowledge that is profound and leads to groundbreaking information technology and services for the benefit of humanity; and to contribute to the Digital Design Department’s research themes on care, creativity, participation, data and AI

 Job description

The project.
The project “Visual Persuasion in a Transforming Europe” (PolarVis) is funded under the CHANSE ERA-NET Co-fund program, which has received funding from the European Union’s Horizon 2020 Research and Innovation Program (Grant Agreement no 101004509).

Its goal is to understand the role of visual content in contemporary dynamics of polarization, with a specific focus on online polarization. The project will develop a multidisciplinary endeavor to investigate the various phases and actors of online visual content (production, content, audience, and diffusion). The research team from ITU will be leading the work package on online diffusion and it will be responsible for applying network analysis and social media analysis methods to study a) how visual content propagates across multiple online platforms and b) how this propagation processes supports the emergence of polarized network structures.

The project will be developed in collaboration with the University of Uppsala, the University of Vienna, the University of Copenhagen, and the Centre for Social Sciences of the Hungarian Academy of Sciences.

PI. Luca Rossi, Associate Professor at the Digital Design Department at ITU.

The team
At ITU the PhD student will collaboration with both the HCDS and the NERDS groups. HCDS is a newly established fast-growing research group that focuses on the human factors in the conception, use, and understanding of data. HCDS focuses understanding and exploring human practices enabled by technology and has expertise in Data Visualization, Human-Data Interaction and HCI (Human Computer Interaction). The NERDS team conducts quantitative research at the intersection of Computational Social Science, Data Science, and Network Science and in 2022 has been awarded as “Research environment of the Year” by the Danish Young Academy. Moreover, given the collaborative project of PolarVis, the PhD candidate is expected to have frequent interaction and collaboration with the InfoLab from Uppsala University, the Computational Communication Science Lab (CCL) of the University of Vienna as well as with the other members of the consortium. Overall, 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. Both salary and working conditions are excellent. The group is a down-to-earth and fun place to be. Most group members live in Copenhagen which is often named as the best city in the world to live in, and for good reasons. It’s world-renowned for food, beer, art, music, architecture, the Scandinavian “hygge”, and much more.

Main responsibilities

  • Contribute to the advancement of groundbreaking research with crucial societal implications, in a highly dynamic and interdisciplinary environment
  • Publish scientific papers at high-impact journals and top-tier conferences

PhD student qualifications (36 months positions)

  • Master’s degree in Social Data Science, Sociology, Social Sciences, or other disciplines relevant to the project.
  • Experience with computational methods for the study of online social interactions.
  • Positive attitude towards interdisciplinary collaboration.

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 motivated application, including a cogent argument for how qualified you are for the position and brief statements of research and teaching plans
  •  A full CV, including name, address, phone number, e-mail, previous and present employment and academic background
  •  Documentation of academic degrees (copy of degree certificates etc.)
  •  Copies of max. 5 different publications that are relevant to the position
  •  A numbered list of publications. The enclosed publications should be marked with an asterisk (*)

Applications without the above-mentioned required documents will not be assessed.                                                                                                                                                                            

The applicant will be accessed 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 to 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 out faculty staff is stronly encouraged

Questions about the positions can be directed to Associate Professor, Luca Rossi, IT University of Copenhagen, at lucr@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.

Read the job description at the university homepage

Apply for position

The IT University of Copenhagen (ITU) was established in 1999 and is Denmark’s leading university focusing on IT research and education. We deliver state-of-the-art teaching and research within computer science, business IT and digital design.

Our ambition is to create and share knowledge that is profound and leads to ground-breaking information technology and services for the benefit of humanity.

The university collaborates closely with industry, the public sector and international researchers and is characterized by a strong entrepreneurial spirit among students as well as researchers.

ITU’s modern campus in central Copenhagen is designed by the world-renowned Danish architect Henning Larsen.

ITU in numbers

  • 2600 students
  • 310 staff members (full-time equivalent)

Post expires on Monday August 15th, 2022

PhD position in the area of statistical evaluation of complex forensic DNA evidence

PhD position in the area of statistical evaluation of complex forensic DNA evidence

Are you interested in advancing the use of statistical reasoning in criminal casework? The IT University of Copenhagen welcomes applications for a PhD position supervised by Associate Professor Therese Graversen. The 3-year position is fully funded by the Independent Research Fund Denmark as part of the project A Unified Statistical Framework for Complex Forensic DNA Evidence. The proposed starting date is 1 November 2022 or as soon as possible thereafter.

Project

The project is driven by current needs in criminal casework at one of the main Forensic Science providers in the UK and offers not only a close collaboration with experts there, but also a unique opportunity to make a direct impact on daily casework.

Broadly speaking, methods exist for establishing the presence of DNA from a specific person in a mixed sample of DNA, and there are also methods devoted to establishing familial relationships in a group of people. From a statistical point of view these two types of forensic problems share many important characteristics and would thus benefit from a more holistic approach to development of statistical models and methodology, not least as such a framework would be able to cover many types of evidence that currently fall outside the two main categories. Further to this, a well-known issue for DNA models (here STR markers) is their computational complexity, and thus a main challenge is to establish efficient algorithms to perform the required computations.

In summary, the project aims to unify and generalize the existing methods and provide concrete software implementations with good computational performance.

Previous efforts by Graversen into creating a framework that allows for a full statistical treatment of evidence based on DNA mixtures have been highly successful, and their implementation in R-package DNAmixtures has been used several times for criminal casework in the UK and in Denmark. For statistical details, see the associated development of statistical and computational methodology. Current research by Green and Mortera has made the first promising steps towards extending the underlying Bayesian network representation of the statistical model to allow for close familial relationships.

You are welcome to reach out informally to Associate Professor Therese Graversen at theg@itu.dk before applying for the position.

Applicant

You are attentive to detail and able to work both independently and in close collaboration with scientific peers and stakeholders. You find it interesting to come up with creative technical solutions to practical problems. You have a track record for being academically versatile and high performing. The main focus of this project is on developing statistical and computational methodology, though the project will also involve an element of scientific programming. Prior knowledge in genetics and forensic science is a plus, but not expected. Familiarity with R is an advantage, but not a requirement.

Qualification Requirements

The following qualifications are required:

  • MSc in Statistics or a closely related field with a significant component of statistics. If you have not completed the degree at the time of applying for this position, please submit documentation for the expected completion date.
  • Detailed knowledge in statistics both within statistical theory and statistical methods.
  • Basic programming skills and a general interest for programming and/or exploring the possibilities that computers offer.
  • Ability to engage in scientific discussions across multiple scientific fields.
  • Strong communication skills both written and orally.

Job tasks

The tasks include amongst others:

  • Engage in ongoing international collaborations both in academia and with industry partners.
  • Co-author scientific papers aimed at high-impact journals and participate in international conferences both in statistics and in forensic science.
  • Contribute to open-source software development and documentation.
  • Contribute to student supervision and/or teaching at ITU, particularly within the study programmes in Data Science.

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 include:

  • Letter of motivation that demonstrates clearly why you are interested in the position and why you are a good match to the position (max 2 pages)
  • Curriculum Vitae (max 2 pages)
  • Documentation of academic degree(s) including grade transcripts

The application may also include:

  • Letters of recommendation
  • A copy of your MSc thesis (or working draft)
  • List of scientific publications (if any) that you have co-authored

Applications without the above-mentioned required documents will not be assessed.   

The applicant will be accessed 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 to 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.

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. 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.

Working at the IT-University of Copenhagen

Note that, in Denmark, a PhD is a paid position and comes with pension and paid parental leave. Working in Denmark offers universal healthcare and affordable childcare. Copenhagen offers a strong and vibrant community in Statistics and Data Science in general. ITU is part of the newly opened Danish Data Science Academy and the Pioneer Center for AI.

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: 1. September 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.

Read the job description at the university homepage

Apply for position

The IT University of Copenhagen (ITU) was established in 1999 and is Denmark’s leading university focusing on IT research and education. We deliver state-of-the-art teaching and research within computer science, business IT and digital design.

Our ambition is to create and share knowledge that is profound and leads to ground-breaking information technology and services for the benefit of humanity.

The university collaborates closely with industry, the public sector and international researchers and is characterized by a strong entrepreneurial spirit among students as well as researchers.

ITU’s modern campus in central Copenhagen is designed by the world-renowned Danish architect Henning Larsen.

ITU in numbers

  • 2600 students
  • 310 staff members (full-time equivalent)