Three PhD fellowships in Machine Learning

at  Kbenhavns Universitet

København, Region Hovedstaden, Denmark -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate15 Jan, 2025Not Specified23 Oct, 2024N/AStochastic Processes,Eligibility,Ml,Resource Efficiency,Academic Background,Statistics,Optimization,Machine Learning,Computer Science,Optimization Techniques,Access,MathematicsNoNo
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Description:

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, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, and Statistics. For information of eligibility of completed programmes, see General assessments for specific countries and Assessment database.

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.

WE ARE LOOKING FOR THE FOLLOWING QUALIFICATIONS:

  • Professional qualifications relevant to the PhD project
  • Strong interest in the relevant topics
  • Academic background (e.g. courses taken) in the relevant topics
  • Good English language skills
  • (Optional) Relevant publications
  • (Optional) Relevant work experience

Responsibilities:

  • Complete and pass the MSc education in accordance with the curriculum of the MSc programm


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Education Management

Teaching / Education

Software Engineering

BSc

Proficient

1

København, Denmark