超分子胶体纳米材料医学与诊断方向博士研究员(科研助理,TV-L E13)
Research Associate in Supramolecular Colloidal Nanomaterials for Medicine and Diagnostics (Doctoral Research)
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
- 开展超分子胶体纳米材料在医学与诊断方向的研究,重点关注超分子架构的设计、先进理化表征及相对生物活性。具体参与ERC资助的项目“EngToTarget”,结合实验化学与自动化实验和数据驱动的材料设计,研究胶体纳米颗粒的合成、表面功能化及与生物靶标的相互作用。
- 申请条件
- 须持有化学、材料科学、纳米科学、化学工程或相关学科的硕士学位或同等学历;具备合成化学、胶体科学、软物质或功能纳米材料方面的实验研究经验;具备出色的英语书面和口头沟通能力。
- 待遇
- 根据TV-L E13标准进行薪酬支付,资助期限为4年(需通过积极的进展评估);提供在慕尼黑工业大学攻读博士学位、使用先进实验室基础设施以及与国际团队合作的机会。
- 申请方式
- 请于2026年11月15日前将完整的申请文件合并为一个PDF文件发送至 hr.cosmat@ls.tum.de。如有非正式咨询,请联系 Prof. Stefan Guldin (guldin@tum.de)。
由 gemini-2.5-flash-lite 生成,博士岗判定置信度 100%。
岗位信息
- 截止
- 原帖未给出
- 学科
- 材料科学
- 合同类型
- 雇佣合同
- 薪资制度
- 德国各州公共服务集体工资协议(TV-L) · E 13;具体金额请核对原帖及适用工资表
- 原帖薪资说明
- TV-L E13
- 本站收录
- 内容更新
- 原帖导师候选(待核验)
- Stefan Guldin
- 来源
- Technische Universität München 官方招聘 · 最近核对 2026-10-23
- 详情核验
判定依据(原文摘录)
- is_phd
The Chair of Complex Soft Matter at the TUM School of Life Sciences is seeking to appoint a Research Associate – Multivalent Colloid Science (E13, with the opportunity to pursue a doctorate) at the earliest possible date.
- english_ok
Excellent written and verbal communication skills in English
- bachelor_ok
Master’s degree or equivalent in chemistry, materials science, nanoscience, chemical engineering, or a related discipline
原文
Research Associate in Supramolecular Colloidal Nanomaterials for Medicine and Diagnostics (Doctoral Research)
20.10.2026, Academic staff
The Chair of Complex Soft Matter at the TUM School of Life Sciences is seeking to appoint a Research Associate – Multivalent Colloid Science (E13, with the opportunity to pursue a doctorate) at the earliest possible date. The position addresses challenges in medicine/diagnostics, focusing on the design of supramolecular architectures, their advanced physicochemical characterization and relative biological activity.
About Us: The Technical University of Munich (TUM) is one of Europe’s leading academic institutions. At the TUM School of Life Sciences, Prof. Stefan Guldin recently established the Chair of Complex Soft Matter. We deploy molecular self-assembly to create bio-inspired, bio-derived and bio-integrated materials for life science applications. Our research focuses on understanding and controlling the formation and interactions of soft materials at the nanoscale, using building blocks including polymers, biomolecules, vesicles and nanoparticles to engineer colloidal systems and interfaces with targeted functionality and selective molecular recognition. We combine synthesis and advanced characterisation with automated experimentation and data-driven materials design. Current activities include multivalent nanoparticles for selective recognition of biological targets, nanostructured biosensing interfaces for extracellular vesicle detection, and the investigation of protein interactions at functional biointerfaces. Your Responsibilities: • Contribute to the recently awarded ERC Consolidator Grant project “Engineering Multivalency for Superselective Recognition of Pathogen Targets” (EngToTarget), combining experimental chemistry with automated experimentation and data-driven materials design for life science applications”. • Conducts research on the synthesis, surface functionalisation and characterisation of colloidal nanoparticles and their interactions with biological targets, including in complex biological environments. The aim is to understand how self-assembly and consequent molecular architecture govern multivalent interactions and selective biomolecular recognition. • Perform high-throughput, automated synthesis, surface functionalization, and characterization of multivalent colloidal nanoparticles. • Investigate interactions with biological targets, including selective binding, competitive interactions and nonspecific adsorption in complex biological environments • Establish relationships between molecular architecture, ligand organisation and biomolecular recognition • Develop reproducible experimental workflows and contribute to automated experimentation and data-driven optimization • Analyse and interpret experimental data and document protocols and research findings • Collaborate with researchers across chemistry, materials science, life sciences and computational disciplines • Contribute to scientific publications, conference presentations and dissemination activities • Contribute to teaching and practical courses and support the supervision of bachelor’s and master’s research projects Your Profile: • Master’s degree or equivalent in chemistry, materials science, nanoscience, chemical engineering, or a related discipline • Experimental research experience in synthetic chemistry, colloid science, soft matter, or functional nanomaterials • Experience with ligand synthesis, nanoparticle synthesis or surface functionalisation is advantageous • Familiarity with relevant characterisation techniques, such as NMR, mass spectrometry, light scattering, UV-vis or fluorescence spectroscopy, is beneficial • Interest in multivalent interactions, molecular self-assembly and selective recognition of biological targets • Enthusiasm for automated experimentation and data-driven materials design; experience with quantitative data analysis or scientific programming is advantageous • Strong problem-solving abilities, careful experimental practice and motivation to pursue a doctorate in an interdisciplinary research environment • Ability to work independently and collaboratively within an international team • Excellent written and verbal communication skills in English What We Offer: • The opportunity to pursue a doctorate at the Technical University of Munich, one of Europe’s leading universities, within an ERC-funded project on multivalent colloid science and selective biomolecular recognition • Participation in an interdisciplinary research programme combining synthetic chemistry, molecular self-assembly, biointerfaces, automated experimentation and data-driven materials design • Access to state-of-the-art laboratory infrastructure and advanced characterisation platforms • Scientific freedom to develop ideas and shape your doctoral research, supported by close mentoring from the principal investigator and principal scientist • Opportunities to publish your research, present at international conferences and collaborate with leading research groups • A collaborative and supportive international team, with opportunities for teaching experience and professional development • Remuneration according to TV-L E13, with funding available for four years, subject to a positive progress evaluation. Application: Please submit your complete application documents as a single PDF file by 15 November 2026 to hr.cosmat@ls.tum.de. For informal inquiries, please contact: Prof. Stefan Guldin guldin@tum.de
The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.
Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.
Kontakt: hr.cosmat@tum.de