Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Norway
- Denmark
- Netherlands
- Australia
- Sweden
- Canada
- Belgium
- Germany
- Hong Kong
- China
- France
- Spain
- Singapore
- United Arab Emirates
- Worldwide
- Poland
- Portugal
- Morocco
- Switzerland
- Czech
- Luxembourg
- Italy
- Estonia
- Latvia
- Austria
- India
- Lithuania
- Cyprus
- Kyrgyzstan
- Europe
- Finland
- Ireland
- Mexico
- New Zealand
- Andorra
- Armenia
- Bulgaria
- Croatia
- Pakistan
- Qatar
- Romania
- Turkey
- Ukraine
- Vietnam
- 36 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Science
- Biology
- Engineering
- Business
- Arts and Literature
- Mathematics
- Social Sciences
- Psychology
- Education
- Humanities
- Materials Science
- Chemistry
- Environment
- Law
- Linguistics
- Electrical Engineering
- Earth Sciences
- Sports and Recreation
- Design
- Philosophy
- Physics
- 14 more »
- « less
-
general planning of the PhD study programme, please see DTU's rules for the PhD education Assessment Assessment of the candidates will be conducted by an assessment committee which follows the MICROSUNSET
-
be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD
-
» OtherEducation LevelPhD or equivalent Skills/Qualifications Who you are PhD in Computer Science, Machine Learning or related field or 5+ years of relevant industrial experience. Strong track record of developing
-
through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description → Apply before 09/03/2026 (DD/MM/YYYY
-
or equivalent Skills/Qualifications PhD in Telecommunications Engineering, Computer Science, or a related discipline. Please note: A PhD is a mandatory requirement for this role. Candidates not holding a PhD will
-
, functional genomics (e.g. saturation mutagenesis), and molecular engineering are highly welcome. Designed for accomplished graduates with a clear scientific vision, GIS Fellow Programme enables successful
-
of areas, including AI and machine learning, cloud and mobile computing, computer system and information security, evolutionary computation, computer vision and graphics, and bioinformatics
-
preparedness. The position is for a period of three years. The objective of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for
-
. This field encompasses Computer Science, Data Science, Artificial Intelligence, and related interdisciplinary areas, with a focus on computing technologies, software development, algorithm design, and
-
if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the doctoral programme at the Faculty of Information Technology and Electrical