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<h2>Weitere Informationen</h2><p>The successful candidate will be employed under a regular employment contract.<br>The position is to be filled at the earliest possible date and offered for a fixed term of four years.<br>A follow‑up proposal to extend the research unit funding by a further four years is planned; if it is approved, an extension of the position would be possible.<br>The fixed-term employment is possible as it constitutes one of the fixed-term options of the Wissenschaftszeitvertragsgesetz (German Act on Fixed-term Scientific Contracts).<br>This is a full-time position.<br>The salary is based on the German public service salary scale (TV-L).<br>The position corresponds to a pay grade of EG 13 TV-L.</p><h2>Unser Profil</h2><p>The position is embedded in the new DFG‑funded Research Unit (RU) “Bilingual Flexibility — The Psychology of Language Control” at RWTH Aachen University and is hosted by the Chair of Biological Psychology and Social Psychology (Prof. Dr. Anna K. Kuhlen). The RU investigates how bilingual speakers adapt their language balance flexibly to task and social demands. Research combines cognitive‑behavioural and neuroscientific methods (behavioural experiments, EEG, fMRI) and links mechanisms of language control, learning and social interaction. The RU brings together several principal investigators across RWTH and beyond, providing a highly collaborative environment with strong national and international networks and many opportunities for co‑authorship and career development.</p>
<p>Fifty percent of this position is attached to the Chair of Biological Psychology and Social Psychology. The Chair contributes two complementary project lines: one examines partner‑adapted lexical selection (how speakers adapt word choice to an interlocutor’s linguistic background); the other investigates language control in multilingual environments and how this shapes situational language balance. The postdoc will actively participate in empirical work in these project lines and is encouraged to develop a complementary independent research programme.</p><h2>Ihr Profil</h2><ul>
<li>Masters`s degree or equivalent&nbsp; and PhD (completed or imminent) in psychology, or a closely related discipline.</li>
<li>Experience with experimental research and programming (e.g., Python, PsychoPy, R). Practical EEG experience is a strong plus; candidates without prior EEG experience but with relevant experimental and programming skills are encouraged to apply.</li>
<li>Familiarity with data management and data repository workflows are advantageous.</li>
<li>Excellent organisational and interpersonal skills; experience in event coordination or collaborative projects is desirable.</li>
<li>Very good English (written and spoken); German not required at application but candidates should be willing to acquire basic German within two years (training support available).</li>
<li>Commitment to inclusive, cooperative research culture.</li>
<li>We explicitly welcome applications from candidates who meet many but not necessarily all criteria — motivation and the ability to learn quickly are valued.</li>
</ul><h2>Ihre Aufgaben</h2><p><strong>50 % Research facilitation &amp; RU infrastructure</strong></p>
<p>You will build and maintain infrastructures that enable outstanding science across the RU: design and operate an online assessment for dispositional language balance (integrated with our participant recruitment platform SONA), harmonise project data for archival storage in PsychArchives, and manage RU scientific events (support provided by student research assistants). These tasks are intended to increase the RU’s scientific reach and will provide you with practical expertise in open‑science workflows, reproducible data management, and network building.</p>
<p><strong>50 % Postdoctoral research &amp; spokesperson support</strong></p>
<p>You will contribute substantively to empirical research in the Chair’s project lines (partner adapted lexical selection; language control in multilingual settings), supervise doctoral students, and co-lead experiments (behavioural and EEG). You will coordinate EEG lab activities and gain hands on experience with EEG acquisition and analysis. The position also includes limited teaching (approx. 2 SWS). We encourage the development of an independent, complementary research programme and support conference attendance, grant writing and publication activities.</p>
<p>This position combines immediate research engagement (co‑authorship, experiment leadership) with opportunities to shape infrastructure that benefits your own and others’ research. You will be based in Aachen within a closely connected Research Unit, working alongside psychologists with diverse methodological expertise (behavioural, EEG, fMRI, eye-tracking, longitudinal designs). The close proximity and disciplinary common ground foster frequent collaboration, strong mentorship, and excellent networking within our RU and with our international collaboration partners - an ideal environment to broaden your methodological skills, increase visibility and advance your academic career.</p><h2>Über uns</h2><p>RWTH is a certified family-friendly University. We support our employees in maintaining a good work-life balance with a wide range of health, advising, and prevention services, for example university sports. Employees who are covered by collective bargaining agreements and civil servants have access to an extensive range of further training courses and the opportunity to purchase a job ticket. <br>RWTH is an equal opportunities employer. We therefore welcome and encourage applications from all suitably qualified candidates, particularly from groups that are underrepresented at the University. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of national or ethnic origin, sex, sexual orientation, gender identity, religion, disability or age. RWTH is strongly committed to encouraging women in their careers. Female applicants are given preference if they are equally suitable, competent, and professionally qualified, unless a fellow candidate is favored for a specific reason.<br>As RWTH is committed to equality of opportunity, we ask you not to include a photo in your application.<br>You can find information on the personal data we collect from applicants in accordance with Articles 13 and 14 of the European Union's General Data Protection Regulation (GDPR) at <a href="http://www.rwth-aachen.de/dsgvo-information-bewerbung" target="_blank">http://www.rwth-aachen.de/dsgvo-information-bewerbung</a>.</p><h2>Besoldung / Entgelt</h2><p>EG 13 TV-L</p>

Land Nordrhein-Westfalen

Research Assistant/Associate (f/m/d) -  4-Year Postdoc in Experimental Bilingualism & Research Unit Coordination

<h2>Weitere Informationen</h2><p>The successful candidate will be employed under a regular employment contract.<br>The position is to be filled at the earliest possible date and offered for a fixed term of two years.<br>An extension of at least one year is planned.<br>The fixed-term employment is possible as it constitutes one of the fixed-term options of the Wissenschaftszeitvertragsgesetz (German Act on Fixed-term Scientific Contracts).<br>This is a full-time position.<br>The successful candidate has the opportunity to pursue a doctoral degree in this position.<br>The salary is based on the German public service salary scale (TV-L).<br>The position corresponds to a pay grade of EG 13 TV-L.</p><h2>Unser Profil</h2><p>SAF is a chair of RWTH Aachen University, part oft he mechanical faculty. We research and develop methods and tools that systematically combine sustainability assessment, artificial intelligence, and foresight research. The aim is to enable transparent, comparable, and automated assessment of industrial value creation systems by standardizing the Life Cycle Sustainability Assessment (LCSA; holistic/three-dimensional sustainability assessment), thereby promoting data-based sustainability strategies.</p>
<p>The focus is on the pillars of standardization and automation of sustainability assessment and foresight research, which we link in an interdisciplinary manner – among other things, in cooperation with partners from science, certification, and industry. Practical and future-oriented solutions are developed based on use cases from various industries.</p>
<p>Under our guiding principle “<em>SAF - Science for Sustainable Industry Transformation</em>,” we combine research on LCSA, AI-supported data processing, and scenario-based foresight research. The desired outcome are open, freely accessible tools and technical solutions for standardized sustainability assessment and scenario development that combine scientific excellence with practical applicability.</p>
<p>The Circular Economy &amp; Materials research group at PEM is further developing the various components of lithium-ion batteries. All battery components are examined throughout their entire life cycle – from the raw material to recycling – and optimised with regard to KPIs such as cost, performance and sustainability. Future materials and technologies from the post-lithium-ion sector are also the subject of research. The group's second focus is on the processes that follow the first life cycle of a battery, which are summarised under the term ‘Re-X’. These include the use of batteries in ‘Re-Use’, for example as stationary energy storage devices, automated dismantling, ‘Repair’, “Remanufacturing” and recycling. From the implementation of strategic consulting projects to the investigation of specific technical issues in the laboratory, the team is dedicated to almost all topics in the areas of battery components and ‘Re-X’ topics.</p>
<p><strong>What We Offer</strong></p>
<ul>
<li>Work in an interdisciplinary and future-oriented research environment</li>
<li>Application of AI, data analytics, and sustainability assessment in practice-driven projects</li>
<li>Flexible working arrangements – on-site and remote options</li>
</ul><h2>Ihr Profil</h2><ul>
<li>Completed Master’s degree (or equivalent) in engineering or a related field (e.g., mechanical engineering, electrical engineering, environmental engineering)</li>
<li>Experience or strong interest in sustainability assessment methodologies (e.g., Life Cycle Assessment, Life Cycle Sustainability Assessment, techno-economic evaluation)</li>
<li>Experience or interest in AI and programming (preferably with Python and/or Brightway)</li>
<li>Ideally, experience or interest in foresight and futures research methodologies (strategic or technological foresight)</li>
<li>Ideally, prior practical experience in consulting, project acquisition, acquisition</li>
<li>Motivation to explore and develop new research topics independently</li>
<li>Structured and reliable working style, creative and pragmatic thinking, curiosity, and willingness to learn</li>
<li>Fluent in German and English, both written and spoken</li>
</ul><h2>Ihre Aufgaben</h2><ul>
<li>Active contribution to projects with industrial partners, from acquisition and planning to implementation</li>
<li>Research on sustainability assessment (LCSA), foresight research, and Re-X / End-of-Life (EoL) modelling (Re-Use, Repair, Remanufacturing, and Recycling, e.g., of batteries)</li>
<li>Development of prototype tools for sustainability evaluation and forecasting within research and industry projects</li>
<li>Supervision of student theses and participation in teaching activities</li>
<li>Early opportunities for budget and leadership responsibility, with freedom to shape your own research focus</li>
</ul>
<p><strong>We Offer</strong></p>
<ul>
<li>A dynamic and interdisciplinary research team</li>
<li>High degree of creative freedom</li>
<li>30 days of annual leave (full-time) &amp; bridge day arrangements</li>
<li>Flexible working hours (flexitime)</li>
<li>Hybrid work options (partial remote work)</li>
<li>Team events and staff activities</li>
<li>Annual bonus subject to eligibility</li>
<li>Modern IT equipment</li>
</ul><h2>Über uns</h2><p>RWTH is a certified family-friendly University. We support our employees in maintaining a good work-life balance with a wide range of health, advising, and prevention services, for example university sports. Employees who are covered by collective bargaining agreements and civil servants have access to an extensive range of further training courses and the opportunity to purchase a job ticket. <br>RWTH is an equal opportunities employer. We therefore welcome and encourage applications from all suitably qualified candidates, particularly from groups that are underrepresented at the University. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of national or ethnic origin, sex, sexual orientation, gender identity, religion, disability or age. RWTH is strongly committed to encouraging women in their careers. Female applicants are given preference if they are equally suitable, competent, and professionally qualified, unless a fellow candidate is favored for a specific reason.<br>As RWTH is committed to equality of opportunity, we ask you not to include a photo in your application.<br>You can find information on the personal data we collect from applicants in accordance with Articles 13 and 14 of the European Union's General Data Protection Regulation (GDPR) at <a href="http://www.rwth-aachen.de/dsgvo-information-bewerbung" target="_blank">http://www.rwth-aachen.de/dsgvo-information-bewerbung</a>.</p><h2>Besoldung / Entgelt</h2><p>EG 13 TV-L</p>

Research Assistant/Associate (f/m/non-binary) Doctoral Candidate – Consulting in Circular Economy, Materials & Sustainability and Foresight Research

<h2>Weitere Informationen</h2><p>The successful candidate will be employed under a regular employment contract.<br>The position is to be filled at the earliest possible date and offered for a fixed term of two years.<br>Further employment is sought.<br>The fixed-term employment is possible as it constitutes one of the fixed-term options of the Wissenschaftszeitvertragsgesetz (German Act on Fixed-term Scientific Contracts).<br>This is a full-time position.<br>The salary is based on the German public service salary scale (TV-L).<br>The position corresponds to a pay grade of EG 13 TV-L.</p><h2>Unser Profil</h2><p>SAF is a chair of RWTH Aachen University, part oft he mechanical faculty. We research and develop methods and tools that systematically combine sustainability assessment, artificial intelligence, and foresight research. The aim is to enable transparent, comparable, and automated assessment of industrial value creation systems by standardizing the Life Cycle Sustainability Assessment (LCSA; holistic/three-dimensional sustainability assessment), thereby promoting data-based sustainability strategies.</p>
<p>The focus is on the pillars of standardization and automation of sustainability assessment and foresight research, which we link in an interdisciplinary manner – among other things, in cooperation with partners from science, certification, and industry. Practical and future-oriented solutions are developed based on use cases from various industries.</p>
<p>Under our guiding principle “<em>SAF - Science for Sustainable Industry Transformation</em>,” we combine research on LCSA, AI-supported data processing, and scenario-based foresight research. The desired outcome are open, freely accessible tools and technical solutions for standardized sustainability assessment and scenario development that combine scientific excellence with practical applicability.</p>
<p>The Circular Economy &amp; Materials research group at PEM is further developing the various components of lithium-ion batteries. All battery components are examined throughout their entire life cycle – from the raw material to recycling – and optimised with regard to KPIs such as cost, performance and sustainability. Future materials and technologies from the post-lithium-ion sector are also the subject of research. The group's second focus is on the processes that follow the first life cycle of a battery, which are summarised under the term ‘Re-X’. These include the use of batteries in ‘Re-Use’, for example as stationary energy storage devices, automated dismantling, ‘Repair’, “Remanufacturing” and recycling. From the implementation of strategic consulting projects to the investigation of specific technical issues in the laboratory, the team is dedicated to almost all topics in the areas of battery components and ‘Re-X’ topics.&nbsp;</p>
<p><strong>What We Offer</strong></p>
<ul>
<li>Work in an interdisciplinary and future-oriented research environment</li>
<li>Application of AI, data analytics, and sustainability assessment in practice-driven projects</li>
<li>Flexible working arrangements – on-site and remote options</li>
</ul><h2>Ihr Profil</h2><ul>
<li>Completed PhD in engineering or a related field (e.g., mechanical engineering, electrical engineering, environmental engineering)</li>
<li>Experience or strong interest in sustainability assessment methodologies (e.g., Life Cycle Assessment, Life Cycle Sustainability Assessment, techno-economic evaluation)</li>
<li>Experience or interest in AI and programming (preferably with Python and/or Brightway)</li>
<li>Ideally, experience or interest in foresight and futures research methodologies (strategic or technological foresight)</li>
<li>Ideally, prior practical experience in consulting, project acquisition, acquisition</li>
<li>Motivation to explore and develop new research topics independently</li>
<li>Structured and reliable working style, creative and pragmatic thinking, curiosity, and willingness to learn</li>
<li>Fluent in German and English, both written and spoken</li>
</ul><h2>Ihre Aufgaben</h2><ul>
<li>Active contribution to projects with industrial partners, from acquisition and planning to implementation</li>
<li>Research on sustainability assessment (LCSA), foresight research, and Re-X / End-of-Life (EoL) modelling (Re-Use, Repair, Remanufacturing, and Recycling, e.g., of batteries)</li>
<li>Development of prototype tools for sustainability evaluation and forecasting within research and industry projects</li>
<li>Supervision of student theses and participation in teaching activities</li>
<li>Early opportunities for budget and leadership responsibility, with freedom to shape your own research focus</li>
</ul>
<p><strong>We Offer</strong></p>
<ul>
<li>A dynamic and interdisciplinary research team</li>
<li>High degree of creative freedom</li>
<li>30 days of annual leave (full-time) &amp; bridge day arrangements</li>
<li>Flexible working hours (flexitime)</li>
<li>Hybrid work options (partial remote work)</li>
<li>Team events and staff activities</li>
<li>Annual bonus subject to eligibility</li>
<li>Modern IT equipment</li>
</ul><h2>Über uns</h2><p>RWTH is a certified family-friendly University. We support our employees in maintaining a good work-life balance with a wide range of health, advising, and prevention services, for example university sports. Employees who are covered by collective bargaining agreements and civil servants have access to an extensive range of further training courses and the opportunity to purchase a job ticket. <br>RWTH is an equal opportunities employer. We therefore welcome and encourage applications from all suitably qualified candidates, particularly from groups that are underrepresented at the University. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of national or ethnic origin, sex, sexual orientation, gender identity, religion, disability or age. RWTH is strongly committed to encouraging women in their careers. Female applicants are given preference if they are equally suitable, competent, and professionally qualified, unless a fellow candidate is favored for a specific reason.<br>As RWTH is committed to equality of opportunity, we ask you not to include a photo in your application.<br>You can find information on the personal data we collect from applicants in accordance with Articles 13 and 14 of the European Union's General Data Protection Regulation (GDPR) at <a href="http://www.rwth-aachen.de/dsgvo-information-bewerbung" target="_blank">http://www.rwth-aachen.de/dsgvo-information-bewerbung</a>.</p><h2>Besoldung / Entgelt</h2><p>EG 13 TV-L</p>

Research Associate – Postdoc Circular Economy, Materials & Sustainability and Foresight Research (f/m/non-binary)

<h2>Weitere Informationen</h2><p>The successful candidate will be employed under a regular employment contract.<br>The position is to be filled at the earliest possible date and offered for a fixed term initially to three years.<br>The fixed-term employment is possible as it constitutes one of the fixed-term options of the Wissenschaftszeitvertragsgesetz (German Act on Fixed-term Scientific Contracts).<br>This is a full-time position.<br>The salary is based on the German public service salary scale (TV-L).<br>The position corresponds to a pay grade of EG 13 TV-L.</p><h2>Unser Profil</h2><p>At the Chair of Imaging and Computer Vision, we explore and extend the physical, methodological, and computational limits of modern medical imaging technologies and related domains. Our research spans simulation of novel imaging concepts, hardware prototyping, high-speed data processing, and image reconstruction, complemented by machine and deep learning–based methods for image enhancement, quantitative analysis, and diagnostics. Combining physics-driven and data-driven approaches, we develop next-generation imaging solutions using our in-house systems. Our multidisciplinary team of physicists,engineers, and computer scientists collaborates closely with industry partners and RWTH Aachen spin-offs, ensuring that research outcomes lead to practical impact.&nbsp;</p>
<p>As a Postdoctoral Researcher Fellow, you will join a collaborative team our chair, working closely with Fraunhofer MEVIS to advance the next generation of LF-MRI technology. The research combines system-level innovation - novel gradient, RF and B0 concepts, low-noise acquisition with advanced algorithmic approaches, including AI-driven reconstruction, physics-informed modeling, and adaptive signal processing. Together, these developments aim to redefine the performance limits of LF-MRI and establish it as a powerful, accessible, and scalable imaging modality for the future of healthcare.&nbsp;</p>
<p><strong>Why Join Us:</strong></p>
<ul>
<li>An excellent collaborative, interdisciplinary research environment with leading scientists.</li>
<li>Exciting research opportunities in cutting-edge magnetic imaging technologies.&nbsp;</li>
<li>Access to state-of-the-art low-field MRI and commercial MRI systems.&nbsp;</li>
<li>Opportunity to shape next-generation MRI solutions and contribute to high-impact publications.&nbsp;<br><br></li>
</ul>
<h2>Ihr Profil</h2><ul>
<li>Masters`s degree or equivalent and PhD in MRI or a related field with a focus on system innovation.</li>
<li>Solid expertise in B₀/gradient design, RFcoils, data acquisition, and image reconstruction.</li>
<li>Highly independent and self-motivated, with a strong collaborative mindset</li>
<li>Passionate about advancing medical imaging through innovation.</li>
</ul><h2>Ihre Aufgaben</h2><ul>
<li>Develop and optimize hardware components to maximize signal sensitivity.</li>
<li>Investigate multi-channel and resonance-based techniques for improved imaging.</li>
<li>Implement AI-driven signal enhancement strategies.</li>
<li>Collaborate in an interdisciplinary research environment.</li>
</ul><h2>Über uns</h2><p>RWTH is a certified family-friendly University. We support our employees in maintaining a good work-life balance with a wide range of health, advising, and prevention services, for example university sports. Employees who are covered by collective bargaining agreements and civil servants have access to an extensive range of further training courses and the opportunity to purchase a job ticket. <br>RWTH is an equal opportunities employer. We therefore welcome and encourage applications from all suitably qualified candidates, particularly from groups that are underrepresented at the University. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of national or ethnic origin, sex, sexual orientation, gender identity, religion, disability or age. RWTH is strongly committed to encouraging women in their careers. Female applicants are given preference if they are equally suitable, competent, and professionally qualified, unless a fellow candidate is favored for a specific reason.<br>As RWTH is committed to equality of opportunity, we ask you not to include a photo in your application.<br>You can find information on the personal data we collect from applicants in accordance with Articles 13 and 14 of the European Union's General Data Protection Regulation (GDPR) at <a href="http://www.rwth-aachen.de/dsgvo-information-bewerbung" target="_blank">http://www.rwth-aachen.de/dsgvo-information-bewerbung</a>.</p><h2>Besoldung / Entgelt</h2><p>EG 13 TV-L</p>

Research Assistant/Associate (f/m/d) Postdoctoral Research Fellow in Advanced Low-Field MRI

<h2>Weitere Informationen</h2><p>The successful candidate will be employed under a regular employment contract.<br>The position is to be filled at the earliest possible date and offered for a fixed term initially for 2 years.<br>An Extension is possible.<br>The fixed-term employment is possible as it constitutes one of the fixed-term options of the Wissenschaftszeitvertragsgesetz (German Act on Fixed-term Scientific Contracts).<br>This is a full-time position with the possibility of a part-time contract upon request.<br>The salary is based on the German public service salary scale (TV-L).<br>The position corresponds to a pay grade of EG 13 TV-L.</p><h2>Unser Profil</h2><p>The Institute of Highway Engineering (ISAC) at RWTH Aachen University is seeking a qualified and motivated postdoctoral researcher to support our ongoing research efforts in the field of pavement materials and structures. The project focuses on advancing mechanistic understanding, numerical modelling, material characterisation, and intelligent evaluation methods to improve the performance, resilience, and sustainability of road infrastructure.&nbsp;</p>
<p>The postdoctoral researcher will contribute to research topics related to pavement materials and structural performance, which may include:<br>• &nbsp; &nbsp;Multiscale and multiphysics modelling of pavement behaviour<br>• &nbsp; &nbsp;Advanced material characterisation (asphalt, binders, recycled and bio-based materials)<br>• &nbsp; &nbsp;Numerical simulation using FEM/DEM or surrogate/AI-based methods<br>• &nbsp; &nbsp;Digital twins and data-driven performance prediction<br>• &nbsp; &nbsp;Functional and sustainable pavement technologies<br>• &nbsp; &nbsp;Non-destructive testing and sensing integration in pavements<br>The position offers the opportunity to work in a collaborative, interdisciplinary research environment and to contribute to both ongoing and newly developing research initiatives at ISAC.</p><h2>Ihr Profil</h2><p>•&nbsp; &nbsp; University degree (master's degree or equivalent) and a completed Doctorate (PhD or Dr.-Ing.) in Civil Engineering, Materials Engineering, Mechanical Engineering, Computational Engineering, or a related discipline with emphasis on structural mechanics, materials, or pavements<br>• &nbsp; &nbsp;Experience in at least one of the following areas:<br>&nbsp; &nbsp; -&nbsp; Numerical modelling (e.g. ABAQUS, ANSYS, COMSOL, DEM tools)<br>&nbsp; &nbsp; -&nbsp; Pavement material characterisation and laboratory testing<br>&nbsp; &nbsp; -&nbsp; Data-driven modelling and AI methods in engineering<br>&nbsp; &nbsp; -&nbsp; Multiscale material modelling or mechanistic design<br>• &nbsp; &nbsp;Solid analytical and computational skills, experience in Python or MATLAB is an advantage<br>• &nbsp; &nbsp;Motivation for interdisciplinary collaboration and scientific publishing<br>• &nbsp; &nbsp;Strong communication skills and ability to work independently<br>• &nbsp; &nbsp;Excellent command of English (written and spoken); German is an asset but not required</p><h2>Ihre Aufgaben</h2><p>• &nbsp; &nbsp;Develop and apply analytical, numerical, and/or experimental methods to study pavement materials and structures<br>• &nbsp; &nbsp;Design and conduct laboratory testing programmes or simulation workflows<br>• &nbsp; &nbsp;Analyse mechanical response, durability, and performance evolution of pavements<br>• &nbsp; &nbsp;Integrate modelling, data analysis, and performance evaluation into research outputs<br>• &nbsp; &nbsp;Collaborate in multidisciplinary research teams and contribute to joint publications<br>• &nbsp; &nbsp;Present research findings at national and international conferences<br>• &nbsp; &nbsp;Supervise student projects and contribute to teaching activities in pavement engineering</p><h2>Über uns</h2><p>RWTH is a certified family-friendly University. We support our employees in maintaining a good work-life balance with a wide range of health, advising, and prevention services, for example university sports. Employees who are covered by collective bargaining agreements and civil servants have access to an extensive range of further training courses and the opportunity to purchase a job ticket. <br>RWTH is an equal opportunities employer. We therefore welcome and encourage applications from all suitably qualified candidates, particularly from groups that are underrepresented at the University. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of national or ethnic origin, sex, sexual orientation, gender identity, religion, disability or age. RWTH is strongly committed to encouraging women in their careers. Female applicants are given preference if they are equally suitable, competent, and professionally qualified, unless a fellow candidate is favored for a specific reason.<br>As RWTH is committed to equality of opportunity, we ask you not to include a photo in your application.<br>You can find information on the personal data we collect from applicants in accordance with Articles 13 and 14 of the European Union's General Data Protection Regulation (GDPR) at <a href="http://www.rwth-aachen.de/dsgvo-information-bewerbung" target="_blank">http://www.rwth-aachen.de/dsgvo-information-bewerbung</a>.</p><h2>Besoldung / Entgelt</h2><p>EG 13 TV-L</p>

Research Associate - Postdoctoral Research Position in Pavement Materials and Structural Engineering (f/m/d)

<p><strong>PhD position: Immune cell-tissue interaction (f/m/x)</strong></p>
<p><strong>Uhlirova Lab/Institute for Genetics/CECAD</strong></p>
<p>We are one of the largest and oldest universities in Europe and one of the most important employers in our region. Our broad range of subjects, the dynamic development of our main research areas and our central location in Cologne make us attractive for students and researchers from around the world. We offer a wide range of career opportunities in science, technology, and administration.</p>
<p>The Uhlirova lab (<a href="http://www.uni-koeln.de/inter-fak/cecad/hlirova/" target="_blank">www.uni-koeln.de/inter-fak/cecad/hlirova/</a>) explores how stress-inducible signaling pathways control gene expression and influence tissue homeostasis and longevity. To tackle these questions, we combine the power of functional genetics in Drosophila and mouse models with cutting-edge molecular and cell biology, multi-omics approaches, advanced microscopy, and bioinformatics.</p>
<p>We are looking for a highly motivated and curious PhD candidate (f/m/x) to join our dynamic team. You will have the opportunity to drive your own project, contribute to collaborative research, and develop skills at the interface of genetics, molecular biology, and systems-level analysis.</p>
<h2>YOUR TASKS</h2>
<ul>
<li>Unravel the factors and networks that control immune cell tissue residency and niche organization using the Drosophila melanogaster model</li>
<li>Map and dissect the microanatomy of immune cell niches. Explain how immune cells adapt and change during development, homeostasis, and disease</li>
<li>Investigate how immune cell microenvironments are established, maintained, and dynamically remodeled</li>
<li>Leverage single-cell technologies and advanced imaging to uncover the cellular and molecular heterogeneity of immune cells and their niches</li>
</ul>
<h2>YOUR PROFILE</h2>
<ul>
<li>Completed Master’s Degree or equivalent in Biology/ Biochemistry/Biophysics or related areas of Life Sciences</li>
<li>Strong background in genetics, molecular and cell biology is essential</li>
<li>Proven ability to carry out an independent scientific project and unwavering commitment to high-quality research</li>
<li>Motivation, curiosity and creativity, and a strong ability to solve problems through critical analytical thinking</li>
<li>Hands-on experience in working with multicellular organisms, preferably Drosophila and/or mouse</li>
<li>Excellent communication skills, fluency in spoken and written English</li>
<li>Strong collaborative and teamwork attitude</li>
</ul>
<p><strong>DESIRABLE:</strong></p>
<ul>
<li>Experience in multi-omics research projects and data analysis</li>
<li>Experience in quantitative image analysis and attention to detail</li>
<li>Strong organizational and thorough documentation skills</li>
</ul>
<h2>WE OFFER</h2>
<ul>
<li>An interactive and supportive research environment</li>
<li>A diverse working environment with equal opportunities</li>
<li>Support in balancing work and family life</li>
<li>Extensive advanced training opportunities</li>
<li>Occupational health management offers</li>
<li>Flexible working time models</li>
<li>Opportunity to work remotely</li>
</ul>
<p>The University of Cologne promotes equal opportunities and diversity. Women will be considered preferentially in accordance with the Equal Opportunities Act of North Rhine-Westphalia (Landesgleichstellungsgesetz – LGG NRW). We also expressly welcome applications from all suitable candidates regardless of their gender, nationality, ethnic and social origin, religion, disability, age, sexual orientation and identity.</p>
<p>The position is available from 1 March 2026 on a part-time basis (25,89 hours per week). The position is to be filled for three years until 28 February 2029. If the applicant meets the relevant wage requirements and personal qualifications, the salary is based on remuneration group 13 TV-L of the pay scale for the German public sector.</p>
<p><strong>Please apply online</strong> at <a href="mailto:https://jobportal.uni-koeln.de" target="_blank">https://jobportal.uni-koeln.de</a> with proof of the required qualifications (without a photo) and the following documents:</p>
<ul>
<li>A cover letter describing your motivation to join our research group and information on your career achievements (1 page max.)</li>
<li>Academic Curriculum Vitae, including your publication list and contact information for three references</li>
<li>Copies of your degree and qualification certificates</li>
</ul>
<p>The reference number is Wiss2510-08. The application deadline is 15 December 2025.</p>
<p><strong>For further inquiries,</strong> please contact Professor M. Uhlirova (<a href="mailto:uhlirova-jobs@uni-koeln.de" target="_blank">uhlirova-jobs@uni-koeln.de</a>) and take a look at our FAQs.</p>

PhD position: Immune cell-tissue interaction (f/m/x) Uhlirova Lab/Institute for Genetics/CECAD

TOUGH gestaltet die Zukunft des digitalen Trainings im Baugewerbe.
HOCHTIEF  ist ein technisch-ausgerichteter, globaler Anbieter von Infrastrukturlösungen mit führenden Positionen in Nordamerika, Australien und Europa und einer starken Präsenz in den schnell wachsenden Märkten für Rechenzentren, Energiewende und nachhaltige Infrastruktur.
HOCHTIEF s neuestes Spin-off  TOUGH Training  ist ein führender Anbieter von Gaming-Software, die interaktives und praxisnahes Lernen in der Baubranche ermöglicht. Mit einem Fokus auf spielerische Lernmodule bereitet TOUGH Mitarbeitende optimal auf die Herausforderungen des Arbeitsalltags vor - ganz ohne Gefahren. Die Software simuliert realitätsnahe Szenarien, sodass Mitarbeitende in einer sicheren Umgebung lernen können, was ihre Sicherheit am Arbeitsplatz erhöht.<h2>Profil</h2><ul> <li> Fundiertes technisches Know-how:  Abgeschlossenes Studium in Informatik, Software Engineering oder einem vergleichbaren Bereich </li> <li> Praxisstärke : Mindestens 5 Jahre Erfahrung in der Backend- oder Fullstack-Entwicklung </li> <li> Cloud-Kompetenz : Sicherer Umgang mit mindestens einer großen Plattform - ob Azure, AWS oder GCP </li> <li> Technischer Werkzeugkasten : Sehr gute Kenntnisse in C#, TypeScript und SQL </li> <li> DevOps im Blut:  Erfahrung mit CI/CD, Containerisierung und Monitoring gehören für dich zum Standard </li> <li> Nice to have : Erfahrung mit E-Commerce-Systemen, digitalen Lernplattformen oder Unity </li> <li> Mentoren (m/w/d) - Mindset : Du bringst Struktur, Verantwortungsbewusstsein mit - und Lust, Wissen im Team an Junior-Mitarbeiter weiterzugeben </li> <li> Sprachliche Sicherheit:  Du kommunizierst fließend auf Deutsch und Englisch </li> </ul><h2>Aufgaben</h2><ul> <li> In deiner Rolle arbeitest du eng mit dem Frontend- und Game-Design-Team zusammen, um reibungslose, performante Lernumgebungen in der Cloud zu ermöglichen. </li> <li> Gestalte unser technisches Rückgrat : Entwickle und pflege skalierbare Backend-Services - von Benutzerlogik über Inhaltsauslieferung bis hin zu Analytics - mit C#, TypeScript und SQL </li> <li> Bau auf moderne Infrastruktur : Entwickle unsere Cloud-Architektur weiter und setze auf Infrastructure-as-Code </li> <li> Integriere clevere Lösungen : Binde externe Tools wie E-Commerce-Plattformen, Zahlungsanbieter, LMS oder Reporting-Tools nahtlos ein </li> <li> Arbeite vernetzt : Entwickle robuste APIs und interne Tools in enger Zusammenarbeit mit Produkt- und Content-Teams </li> <li> Denke ganzheitlich : Unterstütze bei Sicherheitskonzepten, Monitoring und Dokumentation über den gesamten Stack hinweg </li> <li> User Experience aktiv mit </li> </ul><h2>Wir bieten</h2><ul> <li> Attraktive Vergütung &amp; flexible Arbeitszeiten : Profitiere von einem transparenten Vergütungssystem, Gleitzeitregelungen und der Möglichkeit zum mobilen Arbeiten </li> <li> Mehr Zeit für dich : 30 Tage Urlaub - plus arbeitsfrei am 24. und 31. Dezember </li> <li> Mobil unterwegs : Mit dem  JobRad-Leasing  und einem  Zuschuss zum ÖPNV-Ticket  bleibst du flexibel und nachhaltig mobil </li> <li> Fit &amp; gesund : Zuschuss zu Fitnessangeboten über  EGYM Wellpass , betriebliches Gesundheitsmanagement mit Betriebsärztin, Gesundheitslotsen und Physiocoaches </li> <li> Lernen, was dich weiterbringt : Individuelle Fort- und Weiterbildungen - z.&nbsp;B. über die  HOCHTIEF-Akademie  oder die  ACS University </li> <li> Empfehlen lohnt sich : Unser Mitarbeitenden-Empfehlungsprogramm  Join HOCHTIEF  bietet dir attraktive Prämien </li> <li> Gestaltungsfreiheit &amp; Verantwortung:  Du prägst unsere Technologie und </li> <li> Agiles Arbeiten, kurze Wege:  Flache Hierarchien, direkte Kommunikation und schnelle Feedbackschleifen </li> <li> Ein wachsendes Tech-Venture:  Sei dabei, wenn aus smarten Ideen skalierbare Lösungen werden </li> </ul><br><br><br><br><br>HOCHTIEF PPP Solutions GmbH

Stellenanzeigen aus einem Partnerportal

Backend-Developer (m/w/d) Cloud & Fullstack

Hygi.de ist der führende Onlineshop für Medizinprodukte, Hygiene- &amp; Reinigungsbedarf in Deutschland. Seit 2003 entwickeln wir unser Angebot kontinuierlich weiter und bieten unseren über 3,2 Millionen Kunden das branchenweit größte Sortiment mit mehr als 140.000 Produkten. Unser Erfolg basiert auf der großen Expertise und Leidenschaft unserer mehr als 300 Mitarbeitenden. Mit modernsten digitalen Prozessen, kurzen Entscheidungswegen und einer offenen Unternehmenskultur schaffen wir ein Arbeitsumfeld, das Eigenverantwortung und kreative Ideen fördert. Werde Teil unseres Teams und gestalte mit uns den E-Commerce von morgen. Mehr über uns und das, was wir tun, erfährst du auf  hygi.de  und  hygi-unternehmen.de
Unser hygi.de-Team besteht aus rund 300 Expert:innen für die Bereiche E-Commerce, Einkauf, Finanzen, IT, Logistik, Marketing, People &amp; Culture, Produkt- und Kundenmanagement und Projekte. Das hygi.de-Team arbeitet größtenteils am Standort in Telgte.
Im Webshop-Entwicklungsteam findest du nicht nur fachlich starke Kolleg:innen, sondern auch ein Umfeld, in dem Ideen willkommen sind, man voneinander lernt und gemeinsam an der besten Lösung arbeitet.
Erfolge feiern wir gemeinsam bei Teamevents, Sommerfesten und Weihnachtsfeiern - oder ganz einfach spontan nach Feierabend.<h2>Profil</h2><ul> <li> Deine Leidenschaft ist es, moderne Webanwendungen zum Leben zu erwecken? Du entwickelst gern nutzerfreundliche Oberflächen, denkst in klaren Strukturen und hast einen Blick für Performance, Qualität und Design? Und du möchtest in einem dynamischen, interdisziplinären Team an innovativen digitalen Lösungen arbeiten? Dann haben wir genau das Richtige für dich! Als Senior Frontend Developer gestaltest du die technische Basis unserer Anwendungen mit: Du konzipierst und entwickelst wiederverwendbare Komponenten, setzt moderne Architekturansätze um und sorgst für ein optimales Zusammenspiel von Funktionalität, Performance und Nutzererlebnis. Dabei behältst du Responsiveness, Barrierefreiheit, Suchmaschinenfreundlichkeit und Wartbarkeit stets im Blick und bringst dich mit deiner Erfahrung in bestehende Systeme und Plattformen ein. </li> <li> Sehr gute Kenntnisse in HTML, CSS (inkl. CSS3 und SCSS) und Vue.js (alternativ React), sowie sicherer Umgang mit modernen Komponenten-Frameworks </li> <li> Verständnis für komponentenbasierte Architektur mit Fokus auf Wiederverwendbarkeit und klarer Trennung von Zuständigkeiten </li> <li> Sehr gutes Verständnis von Performance-Optimierung und Core Web Vitals </li> <li> Sicherer Umgang mit Versionsverwaltung (Git) </li> <li> Erfahrung mit modernen Front-End-Build-Tools und Toolchains (z.&nbsp;B. Encore, Webpack, Vite) sowie sicherem Abhängigkeitsmanagement in npm-/yarn-/pnpm-basierten Projekten </li> <li> Sehr gutes Verständnis von Responsive Webdesign und Cross-Browser-Kompatibilität </li> <li> Grundkenntnisse in technischer SEO </li> <li> Grundverständnis von Accessibility (WCAG 2.2) </li> <li> Erfahrung mit REST-/GraphQL-APIs </li> <li> Kenntnisse in Testing-Tools und -Methoden (z.&nbsp;B. Cypress, Playwright, Vitest, Storybook) </li> <li> Interesse an zeitgemäßen Architekturansätzen und modernen eCommerce-Standards - insbesondere im Kontext von Performance, Auslieferungsstrategien und dynamischer Inhaltsbereitstellung (z.&nbsp;B. API-first, Headless, Composable Architecture) </li> <li> Gute Kenntnisse in grafischer Umsetzung nach Designvorgaben, auch mit eigenverantwortlicher Anpassung von Layouts bei fehlender Spezifikation </li> <li> Grundlegendes Verständnis für API-Design, Authentifizierung und Systemarchitekturen von Vorteil </li> </ul><h2>Aufgaben</h2><ul> <li> Entwicklung und Pflege moderner, wiederverwendbarer Frontend-Komponenten </li> <li> Umsetzung performanter, responsiver und barrierefreier Benutzeroberflächen </li> <li> Anbindung des Frontends an APIs und Integration in bestehende Systeme </li> <li> Sicherstellung von Code-Qualität durch Reviews, Dokumentation und saubere Architektur </li> <li> Analyse und Optimierung von Performance, Usability und technischen SEO-Aspekten </li> </ul><h2>Wir bieten</h2><ul> <li> Sicherer Arbeitsplatz in einem stark wachsenden Unternehmen </li> <li> Attraktive Vergütung mit Zusatzleistungen, z.&nbsp;B. Zuschuss zur Altersvorsorge </li> <li> 30 Tage Urlaub </li> <li> Flexible Arbeitszeiten dank Gleitzeit und der Option Mobil zu arbeiten </li> <li> Weiterbildungsangebote zur beruflichen und persönlichen Entwicklung </li> <li> Mitarbeitenden-Rabatte auf unser umfangreiches Sortiment </li> <li> Moderne Arbeitsumgebung mit ergonomischen Arbeitsplätzen </li> <li> Jobfahrrad-Leasing für nachhaltige Mobilität </li> <li> Regelmäßige Team-Events für ein starkes Miteinander </li> <li> Kostenfreie Getränke, Obst und Snacks </li> </ul><br><br><br>Hygi.de GmbH &amp; Co. KG
Postfach 155
D-48283 Telgte <a href="http://www.hygi-unternehmen.de" target="_blank">www.hygi-unternehmen.de</a><br><br>hygi.de GmbH &amp; Co. KG

Senior Frontend Developer (m/w/d)

We are UKM. We have a clear social mission and, with our focus on healthcare, research, and teaching, we bear a unique responsibility.
To meet our high standards every day, we are looking forward to your scientific support at the Institute for Experimental Pathology -  ideally with you on board!
The mission of the Ziller lab  is to develop and apply novel strategies to dissect the genetic and epigenetic basis of complex diseases, with particular focus on psychiatric disorders. Our research is focused on the question of how many genetic and environmental risk factors act in concert to create a permissive molecular environment that fosters the emergence of psychiatric disorders such as schizophrenia and bipolar disorder and lead to treatment resistance.
In order to address this problem, we employ a highly interdisciplinary, integrative biology approach that utilizes human pluripotent stem cell-based model systems, high throughput functional genomic screening and big data-based machine learning, bridging the scales from genetics to patient level traits. The Ziller lab is part of the Department for Mental Health of the Medical Faculty, University of Muenster.
The overall goal of the Department  is to dissect the molecular mechanisms underlying psychiatric diseases and treatment resistance, rapidly utilizing these insights to develop new patient tailored therapeutic approaches in a knowledge driven fashion.
The University Hospital of Münster is one of the leading hospitals in Germany. Such a position cannot be achieved by size and medical successes alone. The individual commitment counts above all. We need your commitment so that even with little things we can achieve great things for our patients. There are many possibilities open for you so that you may develop with them.<h2>Profil</h2><p> We are looking for motivated individuals skilled in computer science/computational biology/bioinformatics with the desire to make a difference for people suffering from mental health problems. A master's degree in (Bio-)Informatics/Data Science or related disciplines is desirable. The positions focus on the development and application of new methods to predict multi-omic traits and phenotypes from large genetic datasets. More specifically, the computational team will build on our previous work (PMID: 38951512) to establish and train deep neuronal network models on large existing datasets with multi-omic data. Subsequently, these models will be applied to clinical cohorts of individuals suffering from mental illness to perform patient stratification, discovery of new biological mechanisms and stratified drug target identification, empowering personalized medicine in psychiatry. Experience in quantitative genetics and/or deep neural networks, R/Python/PyTorch/Tensorflow etc. is desirable.
</p><h2>Aufgaben</h2><p> Part of Research Innovation
</p><h2>Wir bieten</h2><ul> <li> Professional Development and Training </li> <li> Exciting Projects </li> </ul><br>Questions about how to apply? Click here
Equal opportunities are a part of our Human Resources Policy. UKM supports the compatibility of work and family life and is certified as "Family-friendly Company" since 2010. Applications of women are specifically invited. In the case of similar qualifications, competence, and specific achievements, women will be considered on preferential terms within the framework of the legal possibilities. Handicapped candidates with equivalent qualifications will be given preference. Due to legal requirements working with us is only permitted with complete vaccination against measles.<br><br>Universitätsklinikum Münster
Albert-Schweitzer-Campus 1, Gebäude D5
48149 Münster
Www.ukm.de<br><br>Universitätsklinikum Münster

PhD Student (gn*) Computational Biology

We are UKM. We have a clear social mission and, with our focus on healthcare, research, and teaching, we bear a unique responsibility.
To meet our high standards every day, we are looking forward to your scientific support  - ideally with you on board!
Institute and research:
The Institute of Cellular Virology, headed by Prof. Dr. Mario Schelhaas, is embedded within a vibrant research environment and part of various research networks. Located within the Centre of Molecular Biology of Inflammation, a state-of-the-art research institution, we offer an internationally renowned research and training environment and established strong collaborations within Europe and the USA
The University Hospital of Münster is one of the leading hospitals in Germany. Such a position cannot be achieved by size and medical successes alone. The individual commitment counts above all. We need your commitment so that even with little things we can achieve great things for our patients. There are many possibilities open for you so that you may develop with them.<h2>Profil</h2><ul> <li> MSc or similar degree in Cell Biology/Virology or similar </li> <li> Strong background in cell biology or virology </li> <li> Commitment to research, and motivation for interdisciplinary work </li> <li> Good communication skills and proficiency in English </li> <li> The following qualifications are considered an asset: </li> <li> Strong background in (live cell) microscopy </li> <li> Experience with superresolution microscopy, computational image analysis </li> <li> Experience in working with complex cell cultures (epithelial models, organoids) </li> <li> Existing publication record </li> </ul><h2>Aufgaben</h2><ul> <li> Our research focuses on investigating host-pathogen interactions with a strong emphasis on cell biological mechanisms. Viruses as simple, obligatory, intracellular parasites depend on the host cell for their life cycle. For initial infection and cell entry, viruses hijack cellular processes such as signaling, membrane trafficking, intra- and intercellular transport, nuclear import and export, and mitosis. Following viruses, thus, provides a unique opportunity to analyze these cellular mechanisms. Hence, our research on virus-host interactions of small DNA tumor viruses during cell entry in the Schelhaas laboratory focusses as much on the understanding of the basic cellular biology as it does help to fight viral diseases (for recent insights into our work please refer to Brinkert et al., EMBO Rep., 2025, Bano et al., Sci. Adv., 2024, Feng et al., Nat. Commun. 2024, Rizzato et al., 2024). Using cellular and molecular techniques in combination with super-resolution microscopy, systems biology approaches, and advanced imaging techniques in live cells, organoids, and organisms, the laboratory continues to identify and elucidate basic mechanisms of tumor virus infections in cells. Moreover, making exciting new strides into uncharted territories, we investigate how cell differentiation, pre-existing immune conditions, superinfections, aging, etc. affect the infection outcome using model systems that mimic such conditions. </li> <li> Part of Research Innovation </li> </ul><h2>Wir bieten</h2><ul> <li> An international and motivating working environment </li> <li> Research laboratories with cutting-edge and state-of-the-art equipment </li> <li> Excellent possibilities for career development </li> <li> Exciting Projects </li> <li> Professional Development and Training </li> </ul><br>Questions about how to apply? Click here
Equal opportunities are a part of our Human Resources Policy. UKM supports the compatibility of work and family life and is certified as "Family-friendly Company" since 2010. Applications of women are specifically invited. In the case of similar qualifications, competence, and specific achievements, women will be considered on preferential terms within the framework of the legal possibilities. Handicapped candidates with equivalent qualifications will be given preference. Due to legal requirements working with us is only permitted with complete vaccination against measles.<br><br>Universitätsklinikum Münster
Albert-Schweitzer-Campus 1, Gebäude D5
48149 Münster
Www.ukm.de<br><br>Universitätsklinikum Münster

11 Stellenangebote für Developer (m/w/d) in Nordrhein-Westfalen