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PhD fellow in Deep Learning for 3D Point Clouds

Datalogisk Institut, Københavns Universitet (DIKU)



Description of the scientific environment
The PhD student will be part of a strong team with expertise in machine learning and geospatial data management at DIKU, which regularly publishes results in top tier venues in the field of machine learning and data engineering such as KDD, ICML, NeurIPS, ICDE, ICDM, and others.

Project description
In line with the efforts of the United Nations’ Sustainable Goals to conserve, restore and manage forests and water-related ecosystems and their services, the accurate quantification of carbon (C) sequestration is indispensable to formulate mitigation strategies against climate change. Recent developments in drone-Lidar systems and the forthcoming satellite laser observations from NASA’s and ESA’s missions allow for machine learning models to constrain the uncertainty in quantifying and projecting ecosystems’ C stocks.

The successful candidate is supposed to apply and extend modern deep learning techniques to large amounts of 3D point cloud data that stems from drone-based Lidar systems. Developing computationally efficient methods is of particular importance as the models will eventually be applied to datasets containing billions of point measurements.

This interdisciplinary project will be conducted in a close collaboration with researchers from the Department of Geosciences and Natural Resource Management (IGN) at the University of Copenhagen as well as with international partners.

Principal supervisors are
Assistant Professor Fabian Gieseke (DIKU)
Professor Christian Igel (DIKU)

Job description
The position is available for a 3-year period and your key tasks as a PhD student at SCIENCE are:

  • To manage and carry through your research project
  • Attend PhD courses
  • Write scientific articles and your PhD thesis
  • Teach and disseminate your research
  • To stay at an external research institution for a few months, preferably abroad
  • Work for the department

Formal requirements
Applicants should hold an MSc degree in Computer Science/Mathematics/Physics/Geosciences with good results and good English skills. As criteria for the assessment of your qualifications emphasis will also be laid on previous publications (if any) and relevant work experience in machine learning.

Terms of employment
The position is covered by the Memorandum on Job Structure for Academic Staff.

Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.

The starting salary is currently at a minimum DKK 328.355 (approx. €43,750) including annual supplement (+ pension at a minimum DKK 53,360). Negotiation for salary supplement is possible.

Integrated MSc and PhD Scheme
The position is also available for candidates who are (or are eligible to be) enrolled at one of the faculty’s master programmes in Computer Science/Mathematics/Physics. The duration of the integrated programme 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”.

Scholarship and terms of employmentfor integrated MSc and PhD
PhD grant portions (Ph.D.
SU klip)
In the period up to the completion of the MSc programme (up to three years), the student is entitled to so-called PhD grant portions. The grant portions are financed by the grant donor but not by the Danish State Educational Grant and Loan Scheme Agency (as is the case for the ordinary study grant portions on the BSc and MSc programmes). They are called PhD grant portions because this kind of remuneration is regulated and described in the Executive Order on the State Educational Grant and Loan Scheme in Denmark (SUbekendtgørelsen), and because the value of a PhD grant portion corresponds to the value of an ordinary Danish study grant portion. Students are awarded 48 PhD grant portions during the period of their MSc and PhD studies.

48 PhD grant portions at DKK 6,166 each, corresponding to DKK 295,968 (approx. €39,460).

'Duty work'
As a supplement to the PhD grant portions, the student may, in accordance with the collective agreement of the Danish Confederation of Professional Associations (AC), be offered 'duty work'. In the period up to the completion of the MSc programme, students performing 'duty work' are paid by the hour. UCPH has decided to offer students on integrated MSc and PhD schemes 150 hours of 'duty work' per year during Part A of the programme (until two years of the combined programme of study remain). 'Duty work' during Part A if it has a duration of three years: 450 hours at a rate of DKK 217.94 (+ 12.5% holiday pay), corresponding to DKK 110,331 (approx. €14,710)

For further information about Part A please see: https://www.science.ku.dk/phd/studystructure/integratedphd/

Salary in accordance with the collective agreement with the Danish Confederation of Professional Associations (AC)
In the period after the completion of the MSc programme, the student is employed as a PhD scholar and is remunerated in accordance with the collective agreement with the Danish Confederation of Professional Associations (AC). The scheme is arranged in such a way that students graduate from the MSc programme at a time when there are two years left of the integrated programme. For this reason, the salary must be paid for a period of two years in accordance with the collective agreement with the Danish Confederation of Professional Associations (AC). The amounts specified include a supplement locally agreed upon as well as pension contributions: Salary as a PhD scholar: 24 months at a rate of DKK 31,809 (including pension contributions and supplement), corresponding to DKK 763,430 (approx. €101,790).

Application Procedure
The application, in English, must be submitted electronically by clicking APPLY NOW below.

Please include

  • Cover letter
  • CV
  • Diploma and transcripts of records (BSc and MSc)
  • Acceptance Letter for the relevant MSc Programme at SCIENCE, if any
  • Other information for consideration, e.g. list of publications (if any)

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

The deadline for applications is 31 May 2020, 23:59 GMT+1
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee. Afterwards an assessment committee will be appointed to evaluate the selected applications. The applicants will be notified of the composition of the committee and the final selection of a successful candidate will be made by the Head of Department, based on the recommendations of the assessment committee and the interview committee.

The main criterion for selection will be the research potential of the applicant and the above mentioned skills. The successful candidate will then be requested to formally apply for enrolment as a PhD student at the PhD school of Science. You can read more about the recruitment process athttp://employment.ku.dk/faculty/recruitment-process/.
Questions
For specific information about the PhD scholarship, please contact the principal supervisors

Assistant Professor Fabian Gieseke (fabian.gieseke@di.ku.dk)

Professor Christian Igel (igel@diku.dk)

General information about PhD programmes at SCIENCE is available at http://www.science.ku.dk/phd.

APPLY NOW
Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.

Info
Application deadline: 31-05-2020 Employment start: 01-08-2020 Working hours: Full time Department/Location: Department of Computer Science

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Datalogisk Institut, Københavns Universitet (DIKU) - hurtigt overblik


Datalogisk Institut, Københavns Universitet (DIKU)
Datalogisk Institut, Københavns Universitet (DIKU)
DIKU er Danmarks første datalogiske institut etableret på Københavns Universitet i 1970. Instituttet driver forskning og udbyder en række bachelor-, kandidat- og ph.d.-uddannelser samt enkeltfags- og sommerkurser.

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2100 København Ø
Logo: Datalogisk Institut, Københavns Universitet (DIKU)
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