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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 2 years.<br>An extension of minimum 1 year is intended. There is the option to extend the position for additional 3 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 with the possibility of a part-time contract upon request.<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>In times of climate crisis and increasing global tensions, a fundamental transformation of energy systems is necessary to ensure the security, environmental compatibility, and independence of the energy supply. The power grid plays a key role in this transformation by replacing fossil power plants and integrating renewable based generations, additional consumers, from industrial processes to heat pumps and electromobility. The most important prerequisites for safe and efficient operation of modern power system are innovative technologies, but above all the integration of modern ICT into the automation infrastructure to coordinate millions of decentralized generation plants and consumers. This revolution requires new concepts and approaches that do not come from a traditional research environment.</p>
<p>The goal of the Institute for Automation of Complex Power Systems (ACS) is to implement a multidisciplinary research approach capable of capturing and leveraging the latest advances in ICT to help solve the most advanced problems in grid dynamics and automation. Join us and create a climate-friendly and secure future energy system together with many national and international partners from industry and research!&nbsp;</p><h2>Ihr Profil</h2><p>A university degree (Masters`s degree or equivalent) in electrical engineering/power systems is a prerequisite for employment.</p>
<p><br>In addition, you should ideally have the following profile:</p>
<ul>
<li>Interest in scientific work, with the aim of a doctorate</li>
<li>Enthusiasm for researching the latest technologies</li>
<li>Innovative and interdisciplinary thinking, independent and structured way of working</li>
<li>Experience in programming</li>
<li>Fluent English, preferably also fluent German</li>
<li>Social competence, communication and teamwork skills</li>
</ul>
<p>Furthermore, interest or knowledge in at least one of the following areas is desirable:</p>
<ul>
<li>Dynamics of electrical grids with a high proportion of renewable energies</li>
<li>State estimation of electrical grids</li>
<li>Interest in information technology and energy technology issues and motivation to mediate between the two disciplines</li>
</ul><h2>Ihre Aufgaben</h2><p>The ongoing evolution of electricity grids into smarter, more decentralised and renewable energy-integrating systems presents both opportunities and challenges for the management and operation of these critical infrastructures. As electricity grids absorb a higher proportion of renewable energy such as wind and solar power and utilise advanced demand-side management and energy storage technologies, the dynamics and complexity of these systems are increasing significantly. This transformation is not only changing the energy landscape, but also requires significant advances in grid management techniques, particularly in state estimation, which is critical to maintaining grid stability and reliability.</p>
<p>Traditional methods of state estimation of electrical grids were developed for much more static environments and mostly for transmission grids, which is why there is a great need for research into modern methods of state estimation in the area of dynamic distribution grids.</p>
<p>Your tasks are to develop new methods and approaches for estimating the state of dynamic distribution grids with a high proportion of intermittent resources. Thanks to the integration of research as part of project work, you will have the opportunity to test the developments not only in a simulative environment, but also in the field with pilot partners. In a team with other scientists and industrial partners, your developments will be integrated into operational systems and<br>tested under real conditions.</p>
<p>Thanks to the reliable guidance of our professors, you will publish your new scientific findings in high-ranking specialist journals.</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) - PhD student Dynamic Electrical Grids State Estimation in Distribution Grids

<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 1 year.<br>An extension to a total of 3 years 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 part-time contract position.<br>The standard weekly hours will be 26,55 hours.<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>The Chair of Biochemical Engineering (AVT.BioVT) led by Prof. Dr.-Ing. Jørgen Magnus is part of the closely connected network of the Aachen Chemical Engineering (AVT). We are one of the world's leading chairs in the development of new methods and techniques for innovative biotechnological production processes and cooperate at national and international level with universities and research institutions, as well as with renowned companies. Our core competence is focused on two specialist areas: industrial and pharmaceutical biotechnology.</p>
<p>AVT.BioVT belongs to the Faculty of Mechanical Engineering and at the same time has a second membership in the Faculty of Mathematics, Informatics and Natural Sciences. Hence, our motivated team is made up of highly interdisciplinary members from the fields of biotechnology, mechanical engineering, and process engineering.</p>
<p>To qualify our scientific staff not only professionally but also personally, our tasks are characterized by diversity. Therefore, our employees work in the following fields during their employment:</p>
<p><strong>Research </strong>- Our research focus is on developing innovative biotechnological processes in the fields of industrial and pharmaceutical biotechnology. Through efficient production processes, we aim to advance bioprocess engineering as an engineering science. Here we have two main priorities: In industrial biotechnology, we focus on the transition to a circular bioeconomy and the reduction of CO2 emissions. In pharmaceutical biotechnology, our focus is on developing novel production technologies for biologics in the areas of cell and gene therapy as well as protein therapeutics. A new field of application is the mathematical analysis of these production processes. To achieve these goals, we collaborate in application-oriented research projects with international partners from industry and science. We proceed in a cross-disciplinary and cross-sectoral manner and use our measurement technology to significantly accelerate process development in biotechnology.</p>
<p><strong>Professional development </strong>- Through frequent participation in scientific conferences, we present the latest findings from our research and seek to exchange expertise in order to develop new ideas. We also motivate our scientific staff to participate in the educational courses of the RWTH Doctoral Academy and the RWTH Center for Professional Leadership. These courses provide individual support for interdisciplinary skills such as project management and presentation techniques.</p>
<p><strong>Teaching </strong>- We offer lectures, practical courses, and seminars on bioprocess development for the faculties of biotechnology, mechanical engineering, environmental engineering and process engineering. In addition, we supervise ambitious students in their project work and theses. In all our fields of activity, student assistants and research assistants form a close cooperating team to excite students about bioprocess engineering.</p><h2>Ihr Profil</h2><ul>
<li>Completed University degree (Master's degree or equivalent) in the field of (bio)process engineering, biotechnology, mechanical engineering, or a related discipline.</li>
<li>You have strong expertise in biotechnology or (bio)process engineering, you are interested in mathematical modeling and are eager to further develop your knowledge in this field.</li>
<li>You are interested in interdisciplinary collaboration and have strong teamwork skills.</li>
<li>You work independently and with determination.</li>
<li>Fluency in English is a prerequisite. Fluency in German is desired.</li>
<li>Contributions to research proposals are expected.</li>
</ul><h2>Ihre Aufgaben</h2><ul>
<li>Working in the team of pharmaceutical Biotechnology</li>
<li>Working independently on one or more research projects</li>
<li>Supervision of Bachelor and Master theses</li>
<li>Publication of scientific papers in renowned journals</li>
<li>Representation of the chair and the research projects at conferences</li>
<li>Supporting the chair management in lectures</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) -  Pharmaceutical Biochemical Engineering

<p>Die FernUniversität in Hagen ist eine der größten Arbeitgeberinnen vor Ort. Ein Großteil der Beschäftigen aus Wissenschaft, Technik und Verwaltung sowie Logistik lebt in der Region. Die Universität zählt rund 1.800 Mitarbeiterinnen und Mitarbeiter von denen etwa 1.400 auf dem modernen und grünen Campus tätig sind. Die Wege sind kurz, die Gelegenheiten sich zu vernetzen sehr gut. Durch mobiles Arbeiten, Homeoffice und Telearbeit gibt es Möglichkeiten, die Arbeit flexibel zu gestalten.</p><strong>Kennziffer&nbsp;1844</strong>

&nbsp;

<p>The FernUniversität in Hagen, Germany’s only state distance-learning university, catering to over 72,000 students, providing flexible and accessible higher education opportunities to students in diverse life situations. The university conducts extensive theoretical and applied research across its five faculties, its central research unit CATALPA, and interdisciplinary research clusters. <br><br>At CATALPA, over 60 researchers collaborate to support personalized learning using AI and adaptive systems and to understand the diversity of learners and teachers as a natural part of teaching.&nbsp;</p>
<p>To expand the team, CATALPA is now filling the position of a<br><br><br></p>
Junior Research Group Leader in Computational Psychometrics and Innovative Assessment Approaches<br><br>

Full-time 100%
Fixed- term 36 months
in pay group&nbsp;E 14 TV-L&nbsp;

&nbsp;
&nbsp;

<p><br>at the earliest possible date.<br><br></p>
<p>The Junior Research Group Leader in Computational Psychometrics and Innovative Assessment Approaches&nbsp;is encouraged to actively take part in shaping the cluster's scientific profile and activities and will cooperate with CATALPA-members from various disciplines. This includes CATALPA´s Research Professorships in Learning Sciences, Computational Linguistics and Learning Analytics as well as the Research Group Stereotype Threat, the Junior Research Group Educational NLP and several researchers at the FernUniversität´s faculties and high-ranking cooperating institutions.</p>
<p>The position is offered for an initial three years, with the option of a 2-year extension following an interim evaluation. The position is full-time with a salary based on level 14 of the collective bargaining agreement for German civil service employees (TV-L). The German Academic Fixed-Term Contract Act (Wissenschaftszeitvertragsgesetz) applies.</p>

&nbsp;


<h2><strong>Your tasks: </strong></h2>


<ul>
<li>research new approaches to assessment in education and learning, which&nbsp;<br><br>- &nbsp; &nbsp;link to existing work in learning analytics, educational data mining, multi-modal analytics, as well as computational psychometrics and data science.&nbsp;<br>- &nbsp; &nbsp;have a core theoretical underpinning in assessment and educational theory as well as the practical and innovative integration of assessment instruments in personalized and collaborative learning support.<br>- &nbsp; &nbsp;develop new theoretical approaches for assessment and integrate in educational settings for online and f2f assessment.&nbsp;<br>- &nbsp; &nbsp;integrate innovative assessment approaches with AI for personalized and contextualized assessment instruments.<br><br></li>
<li>build up an internationally visible, independent research group that contributes to CATALPA´s reputation and visibility e.g. by&nbsp;<br><br>- &nbsp; &nbsp;publishing in highly-ranked journals and conferences,&nbsp;<br>- &nbsp; &nbsp;collaborating with other CATALPA members,<br>- &nbsp; &nbsp;attracting additional funding, and&nbsp;<br>- &nbsp; &nbsp;advising and engaging PhD candidates.</li>
</ul>




<h2><strong>Your profile:</strong></h2>


<ul>
<li>Master degree and PhD in Psychology, Learning Science or comparable</li>
<li>Strong background in Data Science and Psychometrics</li>
<li>Experience in Learning Technology, Technology-Based Assessment, AI and Assessment</li>
<li>Ideally a strong respective publication record</li>
<li>ability to conduct highly visible and high-impact research and willing to attract additional funding for your research group</li>
<li>strong interest in interdisciplinary and collaborative research and open to new ideas</li>
<li>ability to supervise PhD candidates</li>
</ul>




<h2><strong>What we offer: </strong></h2>


<ul>
<li>The opportunity to conduct independent research in a unique environment which enables field experiments with a large and highly diverse student body</li>
<li>Financial and material support for your research including a funded PhD position and further funding for materials and expenses contingent on your research proposal (for example, student assistant, technical equipment and support, etc.)</li>
<li>An open, stimulating and interdisciplinary work environment where good ideas are encouraged and supported&nbsp;</li>
<li>The opportunity to teach in the faculty nearest to your discipline<br><br></li>
</ul>
<p>We offer you an interesting position with a great deal of independence, as well as a salary according to the collective labor agreement for German public service and a supplementary pension through the state pension agency Versorgungsanstalt des Bundes und der Länder (VBL). You will also benefit from our extensive opportunities for continuing education and professional development, wide range of occupational health services, and family-friendly policies and services.<br><br></p>
<p>The FernUniversität in Hagen is committed to increasing the proportion of women in research and teaching. Qualified female candidates are expressly encouraged to apply. Women with equal qualifications, abilities and professional performance will be given preferential consideration, unless there are compelling reasons for preferring an outstanding male candidate. Persons with disabilities are explicitly encouraged to apply. Part-time employment is possible.&nbsp;</p>
<p><strong>Your application:<br><br></strong></p>
<p>Please submit your application (in English or German) with&nbsp;<strong>the following documents by 18.07.</strong><strong>2025 </strong>via our online portal:<br><br></p>
<ol>
<li>An <strong>application</strong> consisting of: (a) <strong>letter of motivation</strong> (1 page); (b) <strong>curriculum vitae;</strong> (c) <strong>list of publications</strong>; (d) link to <strong>Google Scholar/</strong><strong>R</strong><strong>esearch</strong><strong>G</strong><strong>ate profile (or similar)</strong>; and (e) <strong>copy of certificates</strong>;</li>
<li>An outline of the <strong>concept for your research group demonstrating the link to the above-mentioned responsibilities as well as to CATALPA´s overall concept an</strong><strong>d</strong> <strong>existing groups</strong><strong>, including a short outline for a PhD project</strong> (max. 2 pages);</li>
<li>The <strong>name and contact information of two referees</strong> (position, professional address, phone number and email).<br><br></li>
</ol>
<p>The first interviews will take place online from August 4.-8.2025. The potential second interviews are scheduled for September 1.-5.2025 in Hagen.<br><br></p>
<p>For more information about CATALPA please visit our website:&nbsp;<a href="https://fernuni.de/catalpa-en" target="_blank">https://fernuni.de/catalpa-en</a> or contact Prof. Dr. Marcus Specht: <a href="mailto:marcus.specht@fernuni-hagen.de" target="_blank">marcus.specht@fernuni-hagen.de</a></p>
<p><strong><br>We are committed to equal opportunities:</strong></p>
<p>The FernUniversität in Hagen is committed to increasing the proportion of women in research and teaching. Qualified female applicants are strongly encouraged to apply. In cases of equal qualifications, skills, and professional achievements, preference will be given to female candidates, unless there are compelling reasons for preferring an outstanding male candidate.</p>
<p>Candidates with disabilities are also encouraged to apply.</p>

<p><strong></strong></p>
<strong><strong><strong>FernUniversität in Hagen</strong></strong></strong><br>Referat Organisations- und<br>Personalentwicklung<br>Universitätsstraße 47<br>58097 Hagen

<p><strong></strong></p>
<p><strong></strong></p>

Junior Research Group Leader in Computational Psychometrics and Innovative Assessment Approaches

<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 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>In the Institute of Imaging and Computer Vision, we research and explore the physical limits of current and future medical imaging technologies, amongst other imaging areas. Our research areas range from simulations of new imaging concepts, hardware prototypes, high-speed data processing, image reconstruction algorithms, and applications using our research imaging prototypes. In doing this, we bring together students and researchers from different disciplines: physics, engineering, computer science, and medicine. We are a group with a large international network and close links to industry and RWTH spin-offs.</p>
<p>Low-Field <strong>Magnetic Resonance Imaging </strong>(LFMRI) and <strong>Magnetic Particle Imaging </strong>(MPI) are two complementary Magnetic Imaging Technologies with significant biomedical potential. LFMRI offers cost-effective, portable imaging solutions with improved accessibility, while MPI utilizes the non-linear magnetization of superparamagnetic nanoparticles to achieve real-time, high-speed imaging. Despite their different principles, both modalities share a <strong>key challenge: limited sensitivity, </strong>which has a direct impact on spatial resolution, signal quality and therefore diagnostic accuracy.</p>
<p>Overcoming this limitation demands <strong>bold innovation </strong>and <strong>creative problem-solving</strong> at the intersection of physics, engineering, and artificial intelligence. Pushing the limits of sensitivity requires revolutionary hardware designs, such as novel coil architectures, adaptive gradient systems, and unconventional resonant circuits. At the same time, cutting-edge signal processing techniques, including AI-driven reconstructions, intelligent multi-channel acquisition, and advanced noise suppression, must be explored and reimagined.</p>
<p>Why Join Us:</p>
<ul>
<li>Research opportunities in cutting-edge magnetic imaging technologies.</li>
<li>Access to advanced MPI and LFMRI imaging systems.</li>
<li>A collaborative research environment with leading scientists.</li>
<li>The chance to contribute to next-generation medical imaging solutions website.</li>
</ul>
<h2>Ihr Profil</h2><ul>
<li>Very good Master's degree or equivalent in Electrical Engineering, Technical Computer Science, Physics, or a related area.</li>
<li>Passion for advancing magnetic medical imaging technologies.</li>
<li>Background in hardware design, signal processing, or magnetic systems.</li>
<li>Programming skills (Python, C++/C#) beneficial.</li>
<li>Strong interest in interdisciplinary collaboration.</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) - PhD Position in Advanced Magnetic Imaging

<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 1 year.<br>An extension for at least 2 years is planned. The option to extend the contract for 3 further years is available.<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>The Institute of Hydraulic Engineering and Water Resources Management at RWTH Aachen University is actively involved in many national and international research projects - often with research partners from other disciplines. Our research focuses on groundwater, floods/drought, constructive and nature-based hydraulic engineering, coastal and estuarine research, water morphology and sediment transport as well as hydropower. In addition to these topics, we are always working on exciting new research projects that arise from current issues. Our institute's own experimental hall with over 2,000 square meters of space offers optimal possibilities for developing and operating models for projects on a large scale.&nbsp;</p>
<p>Our institute has a vacancy for a research assistant to work on a wide range of engineering tasks in the context of short and long-term scientific projects. The position is available at the earliest possible date.&nbsp;</p><h2>Ihr Profil</h2><p>You have completed your university studies (Master's degree or equivalent) in&nbsp;<strong>civil engineering, industrial engineering</strong>&nbsp;or&nbsp;<strong>environmental engineering</strong>&nbsp;with a specialisation in hydraulic engineering or environment with above-average success. In addition, you bring enthusiasm and&nbsp;<strong>in-depth knowledge in the field of hydraulic engineering/water management</strong>&nbsp;or other water-related topics. The following skills and characteristics also describe you:</p>
<ul>
<li>Very good communication skills and a creative mind</li>
<li>Confident knowledge of the German (C1-level) and English language</li>
<li>Structured way of working with a focus on the essentials</li>
<li>Willingness to work in a team and to take on responsibility</li>
<li>Willingness to travel on business and/or research assignments in inland and abroad</li>
<li>Aspiration to do a doctorate as preparation for the next career step</li>
</ul><h2>Ihre Aufgaben</h2><p><strong>Research</strong>: You will work on scientific projects that are thematically covered by the institute's research and consulting profile: The projects require, among other things, numerical modeling/simulations as well as experimental work and testing in the institute's own facilities. Depending on the project, research assignments nationally and internationally may also be required.</p>
<p><strong>Knowledge transfer</strong>: Through workshops lasting one or more days, participation in conferences, presentations and publications, you will transfer our research results and findings into practice and into the scientific context. At national and international events, you will have the opportunity to exchange ideas with specialists and experts, develop new ideas and make new contacts.</p>
<p><strong>Teaching</strong>: We offer lectures, seminars, excursions and student theses for students at RWTH Aachen University. Our employees provide support in the various areas of teaching and thus get to know the core competencies of teaching.</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 Assistant/Associate (f/m/d) - PhD student

<h3>Research Assistant (postdoc) in Foraminiferal Micropalaeontology (f/m/x)</h3>
<h3>Institute of Geology and Mineralogy / Working Group on Micropalaeontology and Palaeoecology</h3>
<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<br>science, technology, and administration.</p>
<p>Foraminifera and their record throughout Earth’s history are at the centre of the research agenda of the Working Group on Micropalaeontology and Palaeoecology (MicPal) at the<br>University of Cologne. Current research foci include palaeoceanography, palaeoclimate and palaeocology as well as integrated stratigraphy of the Cenozoic. MicPal is looking for<br>a new team member to expand its research and teaching portfolio.</p>
<h2>YOUR TASKS</h2>
<ul>
<li>to be a member of the MicPal team with responsibilities in research and teaching (lectures, field courses)</li>
<li>to develop your own research programme in the field of micropalaeontology, dedicated to innovative ways to advance foraminiferal research and its application to the<br>fossil record</li>
<li>to participate in field work related to the working group’s research</li>
<li>to provide your expertise to other members of the working group and to help with the supervision of Bachelor-, Master- and doctoral students</li>
</ul>
<h2>YOUR PROFILE</h2>
<ul>
<li>highly motivated, team-oriented person with an extensive background in foraminiferal research</li>
<li>Ph.D. in Micropalaeontology with basic training in Geosciences</li>
<li>relevant record of peer-reviewed publications</li>
<li>skills in foraminiferal taxonomy, foraminiferal palaeobiology and statistical analyses</li>
<li>expertise in one or several of the following fields of research is advantageous: evolution, phylogeny, (palaeo-) biodiversity of foraminifera; biomineralization &amp;&nbsp; geochemistry; palaeoenvironmental, palaeoclimatic and/or palaeoceanographic reconstruction; integrated stratigraphy</li>
<li>prior knowledge of (at least basic) German is advantageous</li>
</ul>
<h2>WE OFFER</h2>
<ul>
<li>a fully equipped working space and access to the MicPal lab infrastructure</li>
<li>a diverse working environment with equal opportunities</li>
<li>support in balancing work and family life</li>
<li>flexible working time models</li>
<li>extensive advanced training opportunities</li>
<li>occupational health management offers</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-<br>Westphalia (Landesgleichstellungsgesetz – LGG NRW). We also expressly welcome applications from all suitable candidates regardless of their gender, nationality, ethnic and<br>social origin, religion, disability, age, sexual orientation and identity.</p>
<p>The position is available from 1 September 2025 on a full-time basis (39,83 hours per week). The position is to be filled for a fixed term until 31 August 2028. Depending on performance an extension (fixed-term) may be considered. If the applicant meets the relevant wage requirements and personal qualifications, the salary will be based on remuneration group 13 TV-L of the pay scale for the German public sector.</p>
<p><strong>Please apply online</strong> with proof of the required qualifications without a photo under: <a href="https://jobportal.uni-koeln.de" target="_blank">https://jobportal.uni-koeln.de</a>. The reference number is Wiss2505-14. Please send your application (letter of motivation concept for your own research programme, CV, list of publications, copies of certificates). Deadline is 15 June 2025.</p>
<p><strong>For further inquiries</strong>, please contact Patrick Grunert (<a href="mailto:pgrunert@uni-koeln.de" target="_blank">pgrunert@uni-koeln.de</a>) and take a look at our FAQs.<br><br></p>

Research Assistant (postdoc) in Foraminiferal Micropalaeontology (f/m/x) Institute of Geology and Mineralogy / Working Group on Micropalaeontology and Palaeoecology

<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 1 year.<br>An extension for 4 years 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>Within the research team Primary Technology and Diagnostics at the chair for High Voltage Technology (HVT), we conduct research on the essential components of the future electrical power system that enable the transition to a climate-neutral society. We develop and optimize future-oriented technologies, relying on state-of-the-art laboratories for high-voltage experiments, and digital twins of the main components within the electric power system. Our research areas include the development and investigation of AC and DC switchgear, new switching concepts as well as concepts and methods for asset management within a digitalized power system.</p>
<p>In doing so, we use the intensive exchange between our individual research groups as well as the entire IAEW to jointly develop and research innovative solutions. Join us and together with many national and international research and industry partners, we shape the energy system of the future!</p><h2>Ihr Profil</h2><p>You own a university degree (master's degree or equivalent) with the main field in electrical engineering, mechanical engineering, physics or a related field of study (e.g., in Computer Science, Mathematics). You are fluent in English – both spoken and written – and are willing to acquire at least a B1 level of German.</p>
<p>You enjoy independently working on a dedicated project, involving the analysis of large problems, finding and rigorous implementation of creative solutions. You are able to organize and carry out work by yourself, but you are also a team-player that enjoys collaborating with colleagues. You enjoy reporting the outcomes of your work to peers, both in writing and in presentation. You are keen to gain in-depth technical expertise and to improve yourself as a researcher.</p>
<p>You are highly motivated to develop cutting-edge approaches that enable the design and operation of the future renewable-driven AC/DC power system. You are eager to develop new insights in the field of high voltage technology through performing experimental research in combination with application of up-to-date modeling and simulation methods. You have a strong interest in electrical power engineering, where experience with one of the following fields is an advantage:</p>
<ul>
<li>High voltage equipment and technology</li>
<li>Modeling and numerical simulation of multi-physics problems</li>
<li>Primary technology such as switchgear and transformers</li>
<li>Digital Twins or Machine Learning</li>
</ul><h2>Ihre Aufgaben</h2><p>As part of our team, you will work on innovative research projects with the aim of a doctoral degree. Through the close interaction with industry and academia, you will have the opportunity to develop your expertise, build an extensive network and play an active role in shaping a climate-friendly future. Depending on your interests and research project, various experimental and simulative methods will be used. In addition, you will support university teaching, student theses and project work.</p>
<p>Are you interested? Then apply now and join us in shaping the future of electrical energy supply in an environment that promotes innovation and values excellent research.</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 Assistant/Associate (f/m/d) - Primary Technology & Diagnostics  Research Assistant/Associate (f/m/d) for High Voltage Technology - Primary Technology & Diagnostics

<h2>Weitere Informationen</h2><p>The successful candidate will be employed under a regular employment contract.<br>The position is to be filled by 7/1/2025 and offered for a fixed term for 1 year.<br>It is intended to extend the initial contract period by two 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 part-time contract position.<br>The standard weekly hours will be 25,89 hours.<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>The PhD position is embedded in the research project “teXirc – Textile Materials Designed for Circularity”, funded by the VolkswagenStiftung, which addresses the urgent need for circularity in the textile sector. Textiles contribute significantly to greenhouse gas emissions, resource consumption, and environmental microplastic pollution. Currently used synthetic fibers are difficult to degrade efficiently and sustainably. teXirc aims to develop bio-based synthetic fibers that match the durability and versatility of benchmark materials and to establish an efficient, sustainable waste treatment to promote closed-loop circularity. The research will contribute to the development of new materials and recycling technologies with the potential to be applied in real-world textile products. This work will be carried out in an interdisciplinary collaboration with project partners from academia and industry:</p>
<ul>
<li>Institute of Biotechnology, RWTH Aachen University</li>
<li>Chair of Chemical Materials Science, University of Konstanz</li>
<li>German Institutes of Textile and Fiber Research (DITF), Denkendorf</li>
</ul>
<p>The PhD project will focus on identifying enzymes in a phylogenetic study and applying the most active enzymes to advance synthetic fiber depolymerization processes. The enzymatic performance will be improved through targeted enzyme engineering campaigns (KnowVolution strategy) towards improved substrate binding and catalytic activity. The most effective variants will be selected for scale-up in fermentation processes to demonstrate depolymerization on realistic textile samples. Throughout the project, the PhD fellow will gain experience in a wide range of molecular biology and protein engineering methods, including enzyme discovery, recombinant protein production, directed evolution, biocatalysis, and polymer degradation with the overall goal of contributing to a sustainable polymer circular economy.</p><h2>Ihr Profil</h2><ul>
<li>Very good university degree (master or equivalent) in the field of biotechnology, biochemistry, biology, chemistry or a related area</li>
<li>Very good knowledge and experience with molecular biology techniques and recombinant protein production</li>
<li>Experience in biocatalysis, enzymatic polymer degradation and protein engineering is beneficial</li>
<li>Highly motivated and independent person with strong communication skills and the drive to learn and work with an interdisciplinary team</li>
<li>Ability to present and discuss scientific research in German and English</li>
<li>Good knowledge of MS Office applications</li>
</ul><h2>Ihre Aufgaben</h2><ul>
<li>Independent work on scientific projects (planning, execution and evaluation of scientific experiments)</li>
<li>Writing reports on project results and progress</li>
<li>Interdisciplinary collaboration with academic and industrial partners</li>
<li>Dissemination of results through scientific presentations and publications</li>
<li>Supervision of research internships and theses (Bachelor/Master)</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) - Doctoral Student Enzymatic Depolymerization for Circular Fiber Materials

<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 initially.<br>Continued employment for this position for at least one further 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 with the possibility of a part-time contract upon request.<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><strong>Topic and background:</strong><br>We are currently looking for a research assistant (f/m/d) (TV-L EG13) to work in the field of noise and building / room acoustics. The aim is to identify typical sound events that can be regarded as representative in certain life cycle phases of a building, to record their effects on humans in laboratory experiments, and to make the results amenable for future design and planning (e.g., software auralization).</p>
<p><strong>The Research Training Group MOSAIC:</strong><br>Funded by the HEAD-Genuit-Foundation, the overarching goal of the MOSAIC research training group is to promote and further develop the construct of 'acoustic well-being' across disciplines, domains and scales in the context of the multi-domain and context-dependent spatial approach. As such MOSAIC also intends to make a substantial contribution to the still young field of soundscape research. The thematic focus is on the consideration of multiple influencing factors on the evaluation of the acoustic environment. The focus varies between humans, indoor spaces, intermediate spaces, and outdoor spaces. You can find a description of the research training group here: <a href="https://www.mosaic.rwth-aachen.de/go/id/blmbhz/" target="_blank">https://www.mosaic.rwth-aachen.de/go/id/blmbhz/</a>&nbsp;</p>
<p>Within our sub-project, typical noise sources (“soundscapes”) are to be identified, investigated, and structured with regard to the extent of their impairment. The investigation focuses the different life cycle phases of a building. Sound and noise perception will be investigated under controlled conditions, i.e. keeping all other environmental conditions as constant as possible, as well as in interaction with these conditions (targeted manipulation of the thermal and/or visual environment). The knowledge gained in this way is to be made usable for future optimizations, e.g. through integration into planning software and the development of planning recommendations and guides.</p><h2>Ihr Profil</h2><ul>
<li>University degree (Master's or equivalent) in the STEM field; social science and computer science also possible if topically overlapping (please describe this in the letter of motivation)</li>
<li>Required qualifications: (a) Knowledge in the field of acoustics, ideally already focused on building acoustics / room acoustics; (b) Programming skills in a common programming language (Python, C++)</li>
<li>Desirable: Knowledge in the field of modelling and simulation (auralization) as well as in the field of study and test planning&nbsp;</li>
<li>Very good knowledge of German and English (both languages essential)</li>
<li>Willingness to work in an interdisciplinary team, to take on responsibility, and to travel</li>
<li>Interest in further scientific qualification in the form of a doctorate</li>
</ul><h2>Ihre Aufgaben</h2><ul>
<li>Scientific processing of the research question in the MOSAIC network, close coordination and exchange with other doctoral students and project participants in the network</li>
<li>Representative survey of typical noise events in buildings</li>
<li>Planning and conducting test subject studies in the laboratory in order to quantify the effects of these sound events under standardized conditions</li>
<li>Development of action and planning tools, integration into existing planning software</li>
<li>Collaboration with national and international scientists and colleagues from various disciplines</li>
<li>Presentation and publication of research results at international conferences and in international journals</li>
<li>Participation in teaching and institute operations</li>
</ul>
<p>Your application should include a CV, university certificates and a letter of motivation (max. one page) in which you describe why this position appeals to you and how it relates to your previous 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>

Research Assistant (f/m/d) - Soundscapes in a Building's Lifecycle

Die Schütte-Gruppe ist als führender Werkzeugmaschinenhersteller auf Mehrspindel-Drehautomaten sowie Werkzeug- und Universal-Schleifmaschinen spezialisiert. Über unsere ausländischen Tochtergesellschaften sowie über Vertriebs- und Handelspartner sind wir weltweit vertreten. An unserem Stammsitz in Köln arbeiten derzeit ca. 460 Beschäftigte. Unser Familienunternehmen besteht seit 1880 und vereint Tradition und Innovation.<h2>Profil</h2><ul> <li> Du bist begeistert von modernster Technik? Du denkst analytisch, präzise und interdisziplinär und möchtest an den komplexesten Werkzeugmaschinen der Welt arbeiten? </li> <li> Eine erfolgreich abgeschlossene Ausbildung oder Studium im Bereich Informatik, Mechatronik, Elektrotechnik oder Anwendungsentwicklung oder eine vergleichbare Qualifikation </li> <li> Mehrjährige Berufserfahrung in der Entwicklung von C#-Applikationen und der Nutzung von WPF für die Erstellung anspruchsvoller Benutzeroberflächen </li> <li> Optimalerweise Erfahrung in der Programmierung und Entwicklung von Softwarelösungen für komplexe Maschinensteuerungen </li> <li> Idealerweise Kenntnisse in C++ und Python </li> <li> Erfahrung mit modernen Softwarearchitekturen und der Nutzung von Datenbanken (SQL und No-SQL) wünschenswert </li> <li> Interesse an der kontinuierlichen Weiterbildung und der Anwendung neuer Technologien im Bereich Maschinenbau und Softwareentwicklung. </li> </ul><h2>Aufgaben</h2><ul> <li> Auf unserem Weg zur Weiterentwicklung und Digitalisierung im Bereich der Werkzeugmaschinensoftware besteht deine wesentliche Aufgabe in: </li> <li> Mitwirkung an innovativen Projekten im Werkzeugmaschinenbau und Entwicklung von Softwarelösungen entsprechend den Lastenheften interner und externer Kunden </li> <li> Aktive Beteiligung an allen Phasen des Entwicklungsprozesses - von der Ideenfindung über die Realisierung bis hin zu den Tests der Applikationen </li> <li> Durchführung von Codereviews und Komponententests zur Sicherstellung der Softwarequalität </li> <li> Enge Zusammenarbeit mit unseren Software- und Hardwarelieferanten, um maßgeschneiderte Lösungen zu entwickeln </li> <li> Kontinuierliche Beobachtung neuer Technologien und Bewertung ihrer Einsetzbarkeit im Unternehmensumfeld </li> <li> Weiterentwicklung und Optimierung bestehender Softwarelösungen in Zusammenarbeit mit dem Team </li> <li> Außerhalb der Projektarbeit bringst du deine Ideen ein, um die Software- und Systemlandschaft weiter voranzubringen. Als Teil unseres Teams trägst du aktiv zur Verbesserung und Standardisierung unserer Entwicklungsprozesse bei und sicherst so die Qualität und Effizienz der Softwarelösungen für die komplexesten Werkzeugmaschinen der Welt. Obwohl wir hohe Eigenständigkeit fördern, bist du stets eingebunden in ein motiviertes und hilfsbereites Team. </li> </ul><h2>Wir bieten</h2><ul> <li> Betriebsrestaurant und ein unbefristeter Arbeitsvertrag </li> <li> 30 Tage Urlaub/Jahr </li> <li> Flexible Arbeitszeiten, 35-Stunden-Woche </li> <li> Urlaubs- und Weihnachtsgeld </li> <li> Transparenter Bewerbungsprozess mit einem persönlichen Gespräch sowie Kennenlernen des Teams und Begehung des Arbeitsplatzes </li> <li> Familiäres Betriebsklima mit flacher Hierarchie, kurzen Entscheidungswegen und direkter Kommunikation </li> <li> Möglichkeiten zur persönlichen Weiterentwicklung </li> <li> Betreuung durch Werksarzt mit regelmäßigen Sprechstunden </li> <li> Gesundheitsaktionen (z.B. Ergonomie am Arbeitsplatz, Grippeschutzimpfung vor Ort) </li> <li> Zusammenarbeit mit einem motivierten Team, das sich auf Dich freut. </li> </ul><br><br><br>Alfred H. Schütte GmbH &amp; Co KG, Christine Engstfeld, Alfred-Schütte-Allee 76, 51105 Köln oder per E-Mail an  <a href="mailto:personal@schuette.de" target="_blank">personal@schuette.de</a> .
Mehr über uns finden Sie unter  <a href="http://www.schuette.de" target="_blank">www.schuette.de</a> .
Alfred H. Schütte GmbH &amp; CO. KG
Alfred-Schütte-Allee 76
51105 Köln-Poll<br><br>Alfred H. Schütte GmbH &amp; Co. KG

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