field_remote_option

field_job_employment_type

job_industry

field_job_occupational_field_parents_all

job_organization_name

<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

<p><strong>Arbeiten Sie mit uns gemeinsam in einem motivierten und engagierten Team für die Grüne Branche!</strong></p>
<p></p>
<p>Die Landwirtschaftskammer Nordrhein-Westfalen sucht für den Geschäftsbereich 3 - EU-Zahlstelle/Förderung in Münster baldmöglichst eine</p>
<p><strong>Sachbearbeitung (m/w/d) Agrarförderung</strong></p>
<p>Arbeiten Sie mit uns gemeinsam in einem motivierten und engagierten Team an der Umsetzung der Gemeinsamen Agrarpolitik (GAP) der Europäischen Union. Die GAP ist aufgrund ihrer finanziellen Tragweite ein wichtiges Politikfeld der EU. Allein an unserer Zahlstelle in NRW kommen jährlich über 600 Mio. Euro an rund 40.000 Antragsteller zur Auszahlung.&nbsp;<br>&nbsp;</p>
<h2>Ihre Aufgabenschwerpunkte:</h2>
<ul>
<li>Sie setzen rechtliche, administrative und haushaltsmäßige Vorgaben der Agrarförderung um und wenden dabei einschlägige europäische und nationale Rechtsvorschriften, insbesondere im Bereich der Agrarförderung, an</li>
<li>Sie erstellen EDV-Vorgaben für die Weiterentwicklung der speziellen EDV-Programme für die softwarebasierte Umsetzung der Agrarförderung</li>
<li>Sie fertigen Stellungnahmen zu Prüfberichten verschiedener Prüfinstanzen an</li>
<li>Sie arbeiten fachlich eng mit den Außenstellen (Kreisstellen) und dem Technischen Prüfdienst in Form von Arbeitsanleitungen, Rundschreiben, Schulungen und Workshops fachlich in der Agrarförderung zusammen</li>
<li>Sie unterstützen bei der Klärung von Sachverhalts- und Rechtsfragen<br>&nbsp;</li>
</ul>
<h2>Was Sie mitbringen:&nbsp;</h2>
<ul>
<li>Was Sie zum Zeitpunkt der Einstellung mitbringen:</li>
</ul>
<ul>
<li>Abschluss als Bachelor of Science (Agrarwirtschaft) bzw. Diplom-Agraringenieur/in (Uni/FH) <strong>oder</strong></li>
<li>Befähigung für die Laufbahngruppe 2, 1. Einstiegsamt (Bachelor of Laws oder Diplom-Verwaltungswirt/in (FH)) bzw. Verwaltungslehrgang II <strong>oder</strong></li>
<li>Eine andere einschlägige Qualifikation (z. B. abgeschlossenes Studium als Bachelor of Arts im Studiengang Öffentliche Verwaltung oder Bachelor of Laws bzw. Arts in Sozialrecht) &nbsp; &nbsp;</li>
</ul>
<ul>
<li>Sie besitzen gute EDV Kenntnisse (gerne in MS-Access und/oder SQL-Developer)</li>
<li>Sie besitzen gute Deutschkenntnisse in Wort und Schrift und setzen diese sicher und situationsgerecht ein&nbsp;</li>
<li>Sie verfügen über eine schnelle Auffassungsgabe und können Sachverhalte und Fragestellungen zügig beurteilen und entscheiden</li>
<li>Sie bringen Verantwortungsbewusstsein, eine zuverlässige Arbeitsweise und Freude an der Zusammenarbeit im Team mit&nbsp;– all das zeichnet Sie aus und macht Sie zu einer wertvollen Ergänzung für unser Team<br>&nbsp;</li>
</ul>
<h2>Wir bieten Ihnen:</h2>
<ul>
<li>Es handelt sich um eine unbefristete Stelle</li>
<li>Die Stelle ist mit der Entgeltgruppe 10 des Tarifvertrages für den öffentlichen Dienst der Länder (TV-L) dotiert. Beim Vorliegen der beamtenrechtlichen Voraussetzungen ist die Fortführung des Beamtenverhältnisses bis einschließlich A 11 LBO möglich</li>
<li>Die Stelle ist grundsätzlich teilbar und daher auch für Teilzeitkräfte geeignet. In Bereichen, in denen Frauen unterrepräsentiert sind, werden Frauen bei gleicher Qualifikation nach Maßgabe des Landesgleichstellungsgesetzes bevorzugt berücksichtigt. Bewerbungen geeigneter Schwerbehinderter sind erwünscht</li>
<li>flexible Arbeitszeiten</li>
<li>umfassende Fort- und Weiterbildung</li>
<li>E-Learning</li>
<li>30 Tage Urlaub</li>
<li>zusätzliche Altersvorsorge über die VBL</li>
<li>Sozialraum</li>
<li>Gute ÖPNV-Anbindung</li>
<li>Betriebliches Gesundheitsmanagement</li>
<li>Homeoffice<br>&nbsp;</li>
</ul>
<h2>Job kompakt:</h2>
<ul>
<li>Bewerbung über Website</li>
<li>Besetzung baldmöglichst</li>
<li>in Münster<br>&nbsp;</li>
</ul>
<p>Sie bringen die Bereitschaft und die Fähigkeit mit, teamorientiert, selbständig und innovativ zu arbeiten und sich in fremde und neue Sachverhalte einzuarbeiten? Sie wollen in einem modernen und familienfreundlichen Dienstleistungsunternehmen mit kurzen Entscheidungswegen und flachen Hierarchien arbeiten?</p>
<p><strong>Dann freuen wir uns auf Ihre Bewerbung!</strong></p>
<p>Für Vorabinformationen zum Aufgabengebiet wenden Sie sich bitte an:</p>
<ul>
<li>Britta Stümper, Telefon: <a href="tel:+492512376457" target="_blank">0251 2376-457</a>, E-Mail: <a href="mailto:Britta.Stuemper@lwk.nrw.de" target="_blank">Britta.Stuemper@lwk.nrw.de</a></li>
<li>Roger Michalczyk, Telefon: <a href="tel:+492512376550" target="_blank">0251 2376-550</a>, E-Mail: <a href="mailto:Roger.Michalczyk@lwk.nrw.de" target="_blank">Roger.Michalczyk@lwk.nrw.de</a><br>&nbsp;</li>
</ul>
<p>Zur Klärung personalrechtlicher Fragen wenden Sie sich bitte an:</p>
<ul>
<li>Tobias Lüke, Telefon: <a href="tel:+492512376368" target="_blank">0251 2376-368</a>, E-Mail: <a href="mailto:Tobias.Lueke@lwk.nrw.de" target="_blank">Tobias.Lueke@lwk.nrw.de</a><br>&nbsp;</li>
</ul>
<p><strong>Werden Sie Teil des Teams!</strong></p>
<p>Ihre Bewerbung reichen Sie bitte&nbsp;mit den üblichen Unterlagen (Anschreiben, Lebenslauf, Abschluss-/Arbeitszeugnisse, Zertifikate/Nachweise)&nbsp;bis zum 10.11.2025 ausschließlich&nbsp;über das Bewerbermanagementsystem der Landwirtschaftskammer Nordrhein-Westfalen (Anforderungsnummer 3141) ein.</p>
<p>Den Zugang zum Bewerbermanagementsystem der Landwirtschaftskammer Nordrhein-Westfalen erhalten Sie über die Stellenanforderung unter&nbsp;<a href="https://www.landwirtschaftskammer.de/wir/stellen" target="_blank">https://www.landwirtschaftskammer.de/wir/stellen</a> oder direkt unter <a href="https://career5.successfactors.eu/sfcareer/jobreqcareer?jobId=3141&amp;company=LandwirtschP" target="_blank">https://career5.successfactors.eu/sfcareer/jobreqcareer?jobId=3141&amp;company=LandwirtschP</a>.<br>&nbsp;<br>&nbsp;</p>
<p>Werfen Sie doch schon jetzt einen ersten Blick in die Landwirtschaftskammer NRW.</p>
<p>Hier geht es um den Geschäftsbereich 3 - EU-Zahlstelle, Förderung -:</p>
<p><a href="https://youtu.be/8ij5gh3c3Kg" target="_blank">https://youtu.be/8ij5gh3c3Kg</a></p>
<p>Viel Spaß!<br>&nbsp;<br>&nbsp;</p>

Sachbearbeitung (m/w/d) Agrarförderung

<p>The University of Bonn is an international research university offering a broad range of subjects. With a 200-year history, some 31,500 students, more than 6,000 employees and an outstanding reputation in Germany and abroad, the University of Bonn is one of the leading universities in Germany and has been awarded the status of a University of Excellence.</p>
<p>The professorship of Agro-Ecological Modeling at the Institute of Crop Science and Resource Conservation, within the Faculty of Agricultural, Nutritional and Engineering Sciences, is inviting applications for a</p>
<h3><strong>Postdoctoral researcher (100%)</strong></h3>
<p>starting as soon as possible. This is a full-time position for 3 years with the possibility of extension for another 3 years upon positive evaluation. The position is limited according to § 2 Abs. 1 WissZeitVG, aimed at supporting the scientific qualification of the postdoctoral researcher, such as the development of an independent research profile and preparation for a long-term academic career.</p>
<p>Founded in 2024 within the Cluster of Excellence PhenoRob, our Agro-Ecological Modeling research group is dedicated to research addressing the biodiversity crisis, with a particular focus on agriculture. We develop and apply advanced quantitative techniques to tackle critical questions and research challenges in landscape and agro-ecology, as well as biodiversity conservation. By integrating basic and applied research, we are laying a foundation for developing sustainable solutions that align human activities with the natural environment in a rapidly changing world. Our key research areas include advancing and innovating: (1) Biodiversity and ecosystem monitoring, (2) Integrated biodiversity modeling across spatial and temporal scales, and (3) Transdisciplinary conservation research that bridges theory and practice. We are looking forward to welcoming a new colleague who is enthusiastic about contributing their own ideas and initiatives to these research areas and who enjoys working in an open-minded, interdisciplinary, international and creative team.</p>
<h2>Your tasks:</h2>
<ul>
<li>Advance monitoring and modeling workflows to investigate habitat selection, species occupancy, and ecological interactions in agroecosystems, while contributing to the further development of state-of-the-art research methods and the testing of ecological theory,</li>
<li>Coordinate and conduct fieldwork to collect biodiversity data using digital monitoring technologies at the experimental sites of the University of Bonn and at other locations in Germany, Sweden and other European countries,</li>
<li>Build an independent research profile that both reflects your vision and strengthens the group’s overarching research agenda,</li>
<li>Lead and contribute to third-party funding proposals, both independently and collaboratively with colleagues,</li>
<li>Engage in scientific collaboration with researchers from PhenoRob, our faculty, the University of Bonn, and regional and international partners, fostering cross- and transdisciplinary partnerships,</li>
<li>Engage in outreach and public events to share research insights with both the general public and policy stakeholders,</li>
<li>Teach courses in BSc and MSc programs, particularly in MSc Nature Conservation and Landscape Ecology, with a commitment of 3 hours per week (4 SWS) during lecture periods,</li>
<li>Supervise and mentor bachelor and master students on thesis projects related to your own research,</li>
<li>Present your research results at international conferences and publish them in peer-reviewed scientific journals.</li>
</ul>
<h2>Your profile:</h2>
<ul>
<li>&nbsp;PhD in (landscape) ecology, conservation biology, ecological modeling, environmental sciences, or related fields, with expertise in biodiversity monitoring and modeling; agroecosystem experience is a plus,</li>
<li>Strong background in statistical, probabilistic and/or mechanistic modeling, spatial data analysis (preferably in R or Python) and/or AI applications for analyzing complex ecological and environmental data,</li>
<li>Experience in, and willingness to, conduct fieldwork,</li>
<li>Field-based species identification skills (birds and/or plants) are an advantage,</li>
<li>Publication record in international peer-reviewed journals,</li>
<li>Previous experience in teaching and/or supervising is a plus,</li>
<li>Ability to work collaboratively within a team, contributing positively to a dynamic and supportive team environment,</li>
<li>Self-driven, flexible, and results-oriented work ethic and ability to manage independent projects,</li>
<li>Willingness to contribute to outreach activities, public events, and policy briefs,</li>
<li>Fluency in written and spoken English, with strong scientific writing skills; German language skills are a plus for teaching but not required.</li>
</ul>
<h2>What we offer:</h2>
<ul>
<li>&nbsp;Excellent and well-funded working environment that supports innovation and high-quality research,</li>
<li>Tailored support to strengthen your research profile and career development,</li>
<li>Pathways for further academic advancement (e.g., habilitation),</li>
<li>Opportunities for funded research stays at other (international) institutions,</li>
<li>Collaborative, international work environment that fosters cross-disciplinary exchange,</li>
<li>Company pension scheme (VBL),</li>
<li>Extensive university sports programs,</li>
<li>Centrally located workplace in Bonn with excellent public transport connections,</li>
<li>Remuneration according to pay group 13 TV-L.</li>
</ul>
<p>The University Bonn is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply as they are underrepresented in the field. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference.</p>
<p>Please submit<strong> your application</strong> in English as a single PDF file, including your CV and publication list, a two-page motivation letter outlining your interest in the position, the contact details of three referees, and copies of your degree certificates (BSc/MSc/PhD), with the ID 2025/147. Applications should be sent by email to <a href="mailto:aecomod@uni-bonn.de" target="_blank">aecomod@uni-bonn.de</a> until <strong>November 9th, 2025</strong>. If you have questions about the position, please contact Prof. Dr. Anna Cord, <a href="mailto:anna.cord@uni-bonn.de" target="_blank">anna.cord@uni-bonn.de</a>.</p>
<p>We are looking forward to your application!</p>
<p>With submission of your application, you accept the processing of your applicant data in terms of the data-protection law. Further information on the legal basis and data usage is provided here: <a href="https://www.uni-bonn.de/en/data-protection-policy?set_language=en" target="_blank">https://www.uni-bonn.de/en/data-protection-policy?set_language=en</a></p>

Postdoctoral researcher for the professorship of Agro-Ecological Modeling

In ganz Deutschland begleiten wir Kommunen auf dem Weg in die digitale Zukunft.
Als Komplettanbieter liefern wir Lösungen aus einer Hand - von der Software bis hin zur Beratung.<h2>Profil</h2><ul> <li> Neben einem abgeschlossenen Studium mit IT-technischem Schwerpunkt oder einer vergleichbaren Ausbildung zählt vor allem eins: deine Leidenschaft für das Coden </li> <li> Du hast Spaß am Coden in Java / Kotlin </li> <li> Du hast Lust auf dein persönliches Wachstum </li> <li> Du bringst ein wirklich agiles Mindset mit </li> <li> Du passt zu uns, wenn die folgenden Sätze auch von dir stammen könnten: </li> <li> Ich bin auf der Suche nach der Möglichkeit, das mit dem agilen Zeug mal wirklich zu machen. </li> <li> Auch in schwierigen Situationen bleibe ich am Ball  -  ich bin bekannt für mein Durchhaltevermögen. </li> <li> Ich schaue auch über den Tellerrand, um die beste Lösung zu finden. </li> <li> Ich will fachlich als auch technisch Zusammenhänge aktiv gestalten. </li> </ul><h2>Aufgaben</h2><ul> <li> Wir bringen Cloudtechnologie und das angestaubte Image der Verwaltung zusammen und helfen somit Menschen dabei in schwierigen Lebenslagen einfacher Hilfe zu bekommen </li> <li> Dabei bist du Teil davon die nächste Generation Software zu entwickeln </li> <li> Du arbeitest in einem agilen SCRUM-Team mit dedizierte*r Product-Owner*in und Scrum-Master*in in dem du die Entwicklung aktiv mitgestalten kannst </li> <li> Wir bringen über Domain-driven Design Technik und Fachlichkeit zusammen - die direkte und fachliche Abstimmung mit unseren Fach- und Domänenexpert*innen ist hierbei eine permanente Aufgabe für dich </li> <li> Du und dein Team arbeiten hier mit State-of-the-Art Tools und verschiedenen Methoden und Ansätzen (z. B. Event Storming, ATDD, Cloud-Native-Stack, Kubernetes, Docker, Quarkus, etc.) </li> <li> Die Freitage nutzen wir, um uns gemeinsam weiterzuentwickeln (Barcamp) </li> <li> Du bist darüber hinaus Teil eines übergreifenden Teams, in dem du je nach deinem Interessenschwerpunkt (UX, Security, QS) aktiv mitgestaltest </li> <li> Wir arbeiten nach dem Test-First-Ansatz und binden mit DevOps-Expert*innen auch das Thema Betrieb bereits in die Entwicklung mit ein </li> </ul><h2>Wir bieten</h2><ul> <li> Hohe Eigenverantwortung und kurze Entscheidungswege </li> <li> Wertschätzendes und offenes Miteinander auf Augenhöhe und eine ausgeprägte Feedbackkultur </li> <li> Viel Raum zum Ausprobieren und für deine fachliche und persönliche Weiterentwicklung </li> <li> Flexible Arbeitszeiten und -modelle, die voll auf deine Work Life Balance einzahlen </li> <li> Mobiles Arbeiten möglich </li> <li> Unbefristeter Arbeitsvertrag und mindestens 30 Tage Urlaub </li> <li> Attraktives Vergütungspaket und zahlreiche tolle Benefits </li> <li> Umfassendes strukturiertes Onboarding zum Orientieren, Ankommen und Netzwerken </li> </ul><br>In unseren Texten verzichten wir allein aus Gründen der Lesbarkeit auf eine geschlechtsspezifische Differenzierung. Gemeint sind stets alle Geschlechter.<br><br>Deine persönliche Ansprechpartnerin ist  Gina  aus unserem Recruitingteam:
Gina Vertgewall  | Personalmanagement | <a href="mailto:karriere@prosoz.de" target="_blank">karriere@prosoz.de</a>
Wir freuen uns auf deine Kontaktaufnahme - mit wenigen Klicks kannst du unkompliziert mit uns in Kontakt kommen!<br><br>PROSOZ Herten GmbH

Stellenanzeigen aus einem Partnerportal

(Senior) Java / Kotlin Software Developer (m/w/d) in einem Cloud-Native-Stack

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

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