基于基础模型的具解释性深度伪造检测博士职位
PhD position on explainable DeepFake detection using Foundation models
原帖优先：申请材料、截止时间与资格以原帖和学校官方说明为准。
AI 中文速览
- 研究内容
- 研究人员将在欧盟 DEFORM 项目框架下，与各合作伙伴紧密合作，利用视频和音频的不一致性以及基础模型等技术，开发用于可解释性深度伪造（DeepFake）检测的方法和工具。
- 申请条件
- 原文未说明具体申请条件。
- 待遇
- 提供每月 3204 至 4051 欧元的薪资待遇（按月发放雇佣薪资）。
- 申请方式
- 截止日期为 2026 年 10 月 25 日，具体申请方式原文未说明。
- 材料清单
- 原文未说明
由 gemini-2.5-flash-lite 生成，博士岗判定置信度 100%。
结构化信息
- 截止
- （Europe/Amsterdam） 剩 15 天
- 学科
- 计算机科学
- 合同类型
- 雇佣合同
- 原文薪资
- EUR 3,204–4,051 / 月（税前）
- 税后月薪（估）
- ¥19,000–¥24,000；房租后 ¥11,100–¥16,100
- 估算假设
- 单身、无子女、雇佣合同的粗略估算，以学校 offer 为准；扣除率 25%；汇率日期 2026-10-01
- 原帖发布
- 本站收录
- 内容更新
- 来源
- AcademicTransfer（荷兰学术招聘） · 最近核对 2026-10-09
- 详情核验
判定依据（原文摘录）
- 这是一项博士培养岗位
At the University of Twente, we are looking for a PhD researcher
原文
The challenge: In the past decades, photographs and videos of events were regarded as reliable evidence for both news media and forensic investigations. However, recent developments in AI technology now make it possible, with minimal technological knowledge or skills, to create extremely convincing manipulated or synthesised images, audio and video data, often called DeepFakes.
This fact is a serious threat to the trustworthiness of news in the media and forensic processes in criminal investigations. Therefore, development of reliable methods to detect manipulations and distinguish bonafide from synthesised data is of utmost importance. In addition, especially for forensic investigations, simple detection is not sufficient. An explanation of the traces of manipulation and tools used for the synthesis or manipulation should be produced as well.
In the EU project DEFORM, 14 research institutes, universities and companies from 6 different countries aim to develop methods and tools for explainable detection of DeepFakes using Foundation models and other techniques.
At the University of Twente, we are looking for a PhD researcher who will work in close collaboration with the other partners on detection of fake videos using inconsistencies in video as well as audio.