机器学习与病毒数据整合方向博士研究员（科研助理，TV-L E13）
Doctoral Researcher in Machine Learning for Virus Data Integration (m/f/d)
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
- 在“从光子学到基因组学的机器学习数据整合”初级研究小组内，设计和训练表示模型，并将其中两个或多个组合成预测性深度融合模型。目标是在通用的预测深度学习框架中整合描述病毒的不同数据，范围涵盖各类组学、显微镜学及拉曼光谱学。
- 申请条件
- 持有计算机科学、生物信息学、计算生物学或相关学科的硕士或同等学位。具备扎实的编程技能以及机器学习或深度学习经验。要求具备流利且优秀的英语听说读写能力。
- 待遇
- 提供兼职岗位（50%或75%，每周20或30小时），固定期限至2030年6月30日。薪酬根据德国联邦州公共服务集体协议（TV-L）最高可达E13薪级，并包含年终奖。每历年享有30天年假外加12月24日和31日两天假期。
- 申请方式
- 请于2026年11月9日前通过在线表格提交申请。
由 gemini-2.5-flash-lite 生成，博士岗判定置信度 100%。
岗位信息
- 截止
- （Europe/Berlin） 剩 21 天
- 学科
- 计算机科学
- 合同类型
- 雇佣合同
- 工作时间
- 全职工时的 50%
- 原帖发布
- 本站收录
- 内容更新
- 来源
- Friedrich-Schiller-Universität Jena 官方招聘（待采集验收） · 最近核对 2026-10-19
- 详情核验
判定依据（原文摘录）
- 该职位为博士研究岗位
Doctoral Researcher in Machine Learning for Virus Data Integration (m/f/d)
- 要求英语流利
Excellent skills in English are required, both written and spoken
- 要求硕士学位
A highly motivated candidate with a Master of Science or equivalent degree in computer science, bioinformatics, computational biology, or a related discipline
原文
Job advertisement
Vacancy ID: 290/2026
Closing date: 2026-11-09
The Friedrich Schiller University Jena is a dynamic and innovation-driven university centrally located in Germany. With a broad range of disciplines, it shapes the future through excellent research and teaching. Its scientific excellence is reflected in the profile areas Light – Life – Libert y, which provide pioneering insights and sustainable solutions for the society of tomorrow. Through close collaborations with leading research institutions, innovative companies, and renowned cultural organizations, it advances interdisciplinary developments. With around 17,000 students and approximately 10,000 employees, it defines Jena as a vibrant, internationally connected city of science and innovation.
The Institute of Computer Sciences at the Faculty of Mathematics and Computer Science seeks to fill the position of a
Doctoral Researcher in
Machine Learning for Virus Data Integration (m/f/d)
commencing on 01 January 2027. We offer a part-time position (50% or 75%, 20 or 30 hours per week), with a fixed-term employment until 30 June 2030.
The DFG-funded Collaborative Research Centre 1768 “VirusREvolution: Decoding tools for virus research” is a highly ambitious research centre at Friedrich Schiller University with the joint goal to develop novel tools for virus discovery, characterisation, regulation, interaction, and visualisation ( https://virusrevolution.uni-jena.de/ ). Its integrated research training group is educating doctoral researchers in a structured, interdisciplinary training program and invites applications for doctoral and postdoctoral researcher positions in various fields of research.
In this doctoral project within the Junior Research Group “Machine Learning data integration from photonics to genomics”, you will design and train representation models and combine two or more of them in predictive deep fusion models. The goal of the project is the integration of different data that can describe viruses, from various omics to microscopy and Raman spectroscopy, in a common predictive deep learning framework.
Your responsibilities:
• Research in multi-modal representation learning and deep fusion models for data integration
• Participation in the Collaborative Research Centre VirusREvolution and close collaboration with the project partners
• Engage in regular discussions with other group and project members
• Collaborate with BSc and MSc students working in associated projects
• Publish papers and present your work at national and international scientific meetings
Your profile:
• A highly motivated candidate with a Master of Science or equivalent degree in computer science, bioinformatics, computational biology, or a related discipline
• Solid programming skills and experience with machine learning or deep learning are required
• Knowledge in data integration across different data modalities and virus biology is desirable
• Strong analytical thinking and problem-solving
• Ability to work independently and in a collaborative team
• Excellent skills in English are required, both written and spoken
We offer:
• Embedding in a cross-disciplinary, young research group and a large, ambitious research consortium
• Affiliation to an Integrated Research Training Group, offering close support and a comprehensive education program for hard skills and transferable skills, supported by the Jena Graduate Academy
• A family-friendly working environment with a variety of offers for families
• University health promotion and a wide range of university sports activities
• Remuneration based on the provisions of the Collective Agreement for the Public Sector of the Federal States (TV-L) at / up to salary scale E13 — depending on the candidate’s personal qualifications—, including a special annual payment in accordance with the collective agreement.
• 30 days of vacation per calendar year plus two days off on December 24 and 31
Candidates with severe disabilities will be given preference in the case of equal qualifications and suitability.
Are you eager to work for us? Then apply by November 9, 2026 using our online form.
For further information for applicants and the information on the collection of personal data, please refer to Data privacy and information for applicants