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NeuroTalk 整理

博士职位 开放申请

Kavli研究所衰老神经科学组博士岗位

PhD in the Kavli Institute’s Aging Neuroscience Group

—Trondheim, Norway

认知与行为

最近核实: 2026-10-08T10:22:21+00:00资料快照: 2026-10-12

机会简介

structural and functional neural networks underlying social and emotional processing in aging.

申请要求

Required selection criteria
Proficiency in analyses of imaging data such as structural MRI and functional MRI
Experience in programing (e.g. Matlab or Python) 
Proficiency in literature review and advanced statistical analyses
Excellent written communication skills in English
A statement of research interest that aligns with the lab’s goal
 

You must have a relevant Master's degree in psychology, neuroscience, biomedical sciences or equivalent. Your degree must include a major independent project (minimum 30 ECTS) equivalent to a master’s thesis.

Master students can apply, but the master's degree must be obtained and documented before starting the position.

You must meet the requirements for admission to the faculty's Doctoral Programme (link), see Section 6-1 of the PhD regulations for more information.
You must have a strong and relevant academic background from your previous studies and have an average grade from your Master's degree study, or equivalent education, which is equal to B or better compared to NTNU's grading scale. If you do not have letter grades from previous studies, you must have an equally good academic foundation. If you have a weaker academic background, you may be considered if you can document that you are exceptionally suited for a PhD education, for example through relevant work experience and/or peer-reviewed academic works.

The appointment is to be made in accordance with NTNUs guidelines for recruitment positions for general criteria for the position.

资助与薪酬

The position is conditional on external funding.
薪酬
In the position of PhD Candidate, code 1017, your gross salary will normally be NOK 580 000,- per annum depending on qualifications and seniority. A 2% statutory contribution to the State Pension Fund is deducted from the salary.
合同与期限
The employment period is 3 years.

来源与核实信息

Source retrieval: 2026-10-08T10:22:21+00:00; open status evaluated: 2026-10-12T05:53:47.267469+00:00. Saved source evidence was reused where applicable.

内容依据最近核实的公开信息整理,可能不包含全部申请条件。无法访问来源不代表职位关闭;申请前请向发布机构确认最新信息。