Ph.d.-stillinger – Københavns Universitet

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PhD fellow in Natural Language Processing and Machine Learning

Department of Computer Science, Faculty of Science at University of Copenhagen is offering a PhD scholarship in Natural Language Processing and Machine Learning (NLP/ML) commencing 1 October 2017 or as soon as possible thereafter.  
 
Description of the scientific environment  
The NLP group at the Department of Computer Science is led by Professor Anders Søgaard and is one of the best in the world. See current members at http://coastalcph.github.io/ The Department of Computer Science also has strong research groups in related fields such as Information Retrieval, Machine Learning, and Computer Vision.  
 
Project description  
The candidate is expected to provide a project description of about 2-4 pages. While the research group has had a focus on transfer- and multi-task learning in recent years, we welcome projects in any area of NLP.  
 
Principal supervisor is Professor Anders Søgaard, Department of Computer Science, soegaard@di.ku.dk, Direct Phone: +45 35329065.  
 
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, Computational Linguistics, Artificial Intelligence, or related fields, with good results and good English skills. In our assessment of your qualifications, we put emphasis on previous publications (if any) and relevant work experience.  
 
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 312.879 including annual supplement (+ pension up to DKK 43.219). Negotiation for salary supplement is possible.  
 
'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 202.64 (+ 12.5% holiday pay), corresponding to DKK 102,586.50.  
 
For further information about Part A please see: http://www.science.ku.dk/english/research/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 28,955.15 (including pension contributions and supplement), corresponding to DKK 694,923.  
 
Application Procedure  
The application, in English, must be submitted electronically by clicking APPLY NOW below.  
 
Please include  
  • Project description (2-4 pages)  
  • CV  
  • Diploma and transcripts of records (BSc and MSc)  
  • Other information for consideration, e.g. list of publications (if any),  
  • Full contact details (Name, address, telephone & email) of 1-3 professional referees  
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 1 September 2017, 23:59 GMT +1. Applications received after the deadline for applications will not be considered.  
 
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 at http://employment.ku.dk/faculty/recruitment-process/.  
 
Questions  
For specific information about the PhD scholarship, please contact the principal supervisor Professor Anders Søgaard, Department of Computer Science, soegaard@di.ku.dk, Direct Phone: +45 35329065.  
 
General information about PhD programmes at SCIENCE is available at http://www.science.ku.dk/phd.  
 
 
 
SØG STILLINGEN

Københavns Universitet giver sine knap 10.000 medarbejdere muligheder for at udnytte deres talent fuldt ud i et ambitiøst, uformelt miljø. Vi sikrer traditionsrige og moderne rammer om uddannelser og fri forskning på højt internationalt niveau. Vi søger svar og løsninger på fælles problemer og gør ny viden tilgængelig og nyttig for andre.

Info

Ansøgningsfrist: 01-09-2017
Ansættelsesdato: 01-10-2017
Arbejdstid: Fuldtid
Afdeling/Sted: Datalogisk Institut

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