Doctoral student in Mathematics with a focus on Machine Learning
- Lund, Skåne
- Tillfälligt
- Heltid
- has been awarded a second-cycle qualification, or
- has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second cycle, or
- has acquired substantially equivalent knowledge in some other way in Sweden or abroad.
- at least 90 credits of relevance to the subject area, of which at least 60 credits from the second cycle and a specialized project of at least 30 second-cycle credits in the field, or
- a second second-cycle degree in a relevant subject.
- Very good oral and written proficiency in English.
- Good experience and ability to program in Python, Matlab, and/or C/C++.
- Experience and ability to use machine learning frameworks (PyTorch, TensorFlow, or equivalent).
- Skills in computer vision and/or machine learning relevant to the project.
Read more on the University website about being a Lund University employeeTerms of employmentOnly those admitted to third cycle studies may be appointed to a doctoral studentship. Third cycle studies at LTH consist of full-time studies for 4 years. A doctoral studentship is a fixed-term employment of a maximum of 5 years (including 20% departmental duties). Doctoral studentships are regulated in the Higher Education Ordinance (1993:100), chapter 5, 1-7 §§.How to applyApplications shall be written in English and include a cover letter stating the reasons why you are interested in the position and in what way the research project corresponds to your interests and educational background. The application must also contain a CV, degree certificate or equivalent, grade transcripts and other documents you wish to be considered (contact information for your references, letters of recommendation, etc.).Welcome to apply!RequirementsResearch Field Mathematics Education Level Master Degree or equivalentResearch Field Mathematics Years of Research Experience NoneAdditional InformationWork Location(s)Number of offers available 1 Company/Institute Lunds universitet Country Sweden City Lund GeofieldWhere to apply WebsiteContact CityLund WebsiteSTATUS: EXPIRED
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