(211-0820/21-2H), 5 PhD fellowships in Machine Learning and Information Retrieval

Copenhagen University

Denmark

August 15, 2021

Description

5 PhD fellowships in Machine Learning and Information Retrieval Department of Computer Science Faculty of SCIENCE University of Copenhagen

The Machine Learning Section of the Department of Computer Science at the Faculty of Science at the University of Copenhagen (DIKU) is offering five fully-funded PhD Fellowships in Machine Learning and Information Retrieval, commencing 1 January 2022 or as soon as possible thereafter.

Our group and research- and what do we offer? The fellows will join the Machine Learning Section at DIKU. The Machine Learning section is among the leading research environments in Artificial Intelligence and Web & Information Retrieval in Europe (in the top 5 for 2020, according to csrankings.org), with a strong presence at top-tier conferences, continuous collaboration in international & national research networks, and solid synergies with big tech, small tech, and industry. The Machine Learning section consists of a vibrant selection of approximately 65 talented researchers (40 of whom are PhD and postdoctoral fellows) from around the world with a diverse set of backgrounds and a common incessant scientific curiosity and openness to innovation.

The fellows will conduct research, having as starting point the following broad research areas:

  • a fully-funded PhD in machine learning evaluation;
  • a fully-funded PhD in bias and interpretability for machine learning;
  • a fully-funded PhD in overparameterization and generalizability in deep neural architectures;
  • a fully-funded PhD in applied machine learning and/or information retrieval with focus on human-centered computing aspects;
  • a fully-funded PhD in web & information retrieval;
  • For more information, please contact Professor Christina Lioma, c.lioma@di.ku.dk, Associate Professor Tuukka Ruotsalo, tr@di.ku.dk, and Tenure-track Assistant Professor Maria Maistro, mm@di.ku.dk.

    The University of Copenhagen

    The University of Copenhagen was founded in 1479 and is the oldest and largest institution of research and education in Denmark. It is a member of the International Alliance of Research Universities, alongside the Universities of Cambridge, Oxford and Yale, and has produced 9 Nobel prize winners. Various academic rankings see the University of Copenhagen as one of the top leading institutions in Europe and the world, and its study programs meet the most stringent international standards for higher education based on Standards and Guidelines for Quality Assurances in the European Higher Education Area and the Danish Accreditation Institution guidelines.

    Life in Copenhagen, Denmark International surveys repeatedly rank Denmark among the world's happiest countries, with high level of social and gender equality, community spirit, and a strong sense of common responsibility for social welfare. Copenhagen is the capital of Denmark, buzzing with culture, sustainable living, modern architecture, royal history, and a mouthwatering restaurant scene.

    Who are we looking for? We are looking for candidates with a MSc degree in a subject relevant for the research area. The successful candidate is expected to have strong grades in Machine Learning and/or Information Retrieval. For one of the PhDs, the candidate is expected to also have strong grades in Human-Centered Computing. The candidate should have a preliminary research record as witnessed by a master thesis or publications in the area.

    Principal supervisor is Professor Christina Lioma, c.lioma@di.ku.dk, +4521554731 or Associate Professor Tuukka Ruotsalo, tr@di.ku.dk,

    The PhD programme Depending of your level of education, you can undertake the PhD programme as either:

    Option A: A three year full-time study within the framework of the regular PhD programme (5+3 scheme), if you already have an education equivalent to a relevant Danish master's degree.

    Option B: An up to five year full-time study programme within the framework of the integrated MSc and PhD programme (the 3+5 scheme), if you do not have an education equivalent to a relevant Danish master´s degree – but you have an education equivalent to a Danish bachelors´s degree.

    Option A: Getting into a position on the regular PhD programme

    Qualifications needed for the regular programme To be eligible for the regular PhD programme, you must have completed a degree programme, equivalent to a Danish master's degree (180 ECTS/3 FTE BSc + 120 ECTS/2 FTE MSc) related to the subject area of the project. For information of eligibility of completed programmes, see General assessments for specific countries and Assessment database.

    Terms of employment in the regular programme Employment as PhD fellow is full time and for maximum 3 years.

    Employment is conditional upon your successful enrolment as a PhD student at the PhD School at the Faculty of SCIENCE, University of Copenhagen. This requires submission and acceptance of an application for the specific project formulated by the applicant.

    The terms of employment and salary are in accordance to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State (AC). The position is covered by the Protocol on Job Structure.

    Salary range starts at DKK 27,788.69 per month incl. PhD supplement (1 April 2021 level).

    Option B: Getting into a position on the integrated MSc and PhD programme

    Qualifications needed for the integrated MSc and PhD programme

    If you do not have an education equivalent to a relevant Danish master´s degree , you might be qualified for the integrated MSc and PhD programme, if you have an education equivalent to a relevant Danish bachelor´s degree. Here you can find out, if that is relevant for you: General assessments for specific countries and Assessment database.

    Terms of the integrated programme To be eligible for the integrated scholarship, you are (or are eligible to be) enrolled at one of the faculty's master programmes in Computer Science.

    Students on the integrated programme will enroll as PhD students simultaneously with completing their enrollment in this MSc degree programme.

    The duration of the integrated programme is up to five years, and depends on the amount of credits that you have passed on your MSc programme. For further information about the study programme, please see: www. science.ku.dk/phd, “Study Structures”.

    Until the MSc degree is obtained, (when exactly two years of the full 3+5 programme remains), the grant will be paid partly in the form of 48 state education grant portions (in Danish: “SU-klip”) plus salary for work (teaching, supervision etc.) totalling a workload of at least 150 working hours per year. A PhD grant portion is DKK 6,243. Salary is DKK 221.34 per working hour (+ 12.5% holiday pay).(1 April 2021 level)

    When you have obtained the MSc degree, you will transfer to the salary-earning part of the scholarship for a period of two years. At that point, the terms of employment and payment will be according to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State (AC). The position is covered by the Protocol on Job Structure. Salary range starts at DKK 27,788.69 per month incl. PhD supplement (1 April 2021 level)

    Responsibilities and tasks in both PhD programmes

  • Complete and pass the MSc education in accordance with the curriculum of the MSc programme
  • (ONLY when you are attending the integrated MSc and PhD programme)

  • Carry through an independent research project under supervision

  • Complete PhD courses corresponding to approx. 30 ECTS / ½ FTE

  • Carry out limited dissemination and teaching activities
  • Participate in active research environments, including a stay at another research institution, preferably abroad
  • Write scientific papers aimed at high-impact venues
  • Write and defend a PhD thesis on the basis of your project
  • We are looking for the following qualifications:

  • A minimum grade point average of 80% or equivalent
  • Relevant publications are desirable, but not necessary
  • Relevant work experience is desirable, but not necessary
  • Curious mind-set with a strong interest in Machine Learning and/or Information Retrieval and/or a combination of these with Human-Centered Computing
  • Proficiency in the English language
  • Application and Assessment Procedure

    Your application including all attachments must be in English and submitted electronically by clicking APPLY NOW below.

    Please include :

  • Motivated letter of application (max. one page) for applying for the specific PhD project.
  • Curriculum vitae including information about your education, experience, language skills and other skills relevant for the position .
  • Original diplomas for Bachelor of Science or Master of Science and transcript of records in the original language, including an authorized English translation if issued in another language than English or Danish. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor is accepted.
  • Publication list (if possible).
  • Reference letters (if available)
  • Application deadline: The deadline for applications is 15 August 2021, 23:59 GMT +2.

    We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.

    The further process After the deadline, a number of applicants will be selected for academic assessment by an unbiased expert assessor. You are notified, whether you will be passed for assessment.

    The assessor will assess the qualifications and experience of the shortlisted applicants with respect to the above mentioned research area, techniques, skills and other requirements. The assessor will conclude whether each applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https: // employment.ku.dk/faculty/recruitment-process/.

    Interviews with selected candidates are expected to be held in week 40-41.

    Questions For specific information about the PhD fellowship, please contact the principal supervisor.

    General information about PhD study at the Faculty of SCIENCE is available at the PhD School's website: https: // www. science.ku.dk/phd/.

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