11 Developer Jobs in Nordrhein-Westfalen

Weitere Informationen The successful candidate will be employed under a regular employment contract. The position is to be filled at the earliest possible date and offered for a fixed term of 2 years. An extension to a total of 5 years is planned. 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). This is a full-time position. The successful candidate has the opportunity to pursue a doctoral degree in this position. The salary is based on the German public service salary scale (TV-L). The position corresponds to a pay grade of EG 13 TV-L. Unser Profil RWTH Aachen University, with 47,000 students and 10,000 employees, is one of Europe’s most prestigious technical universities. As part of RWTH Aachen, the Institute for Automotive Engineering researches the complete vehicle, including its systems and their interactions. From conceptualization through innovative component and system designs to the development of vehicle prototypes, the institute's employees shape the vehicle of the future and address current and significant issues in collaboration with automotive manufacturers and suppliers. The research area Energy Management and Drivetrains conducts innovative research in various areas related to energy systems for vehicles. Our work encompasses electric and electrified drive systems at both system and component levels, as well as E/E architectures and their components. Additionally, we examine the thermal management of drive components, as well as technologies to enhance thermal comfort and improve vehicle climate control. Through our efforts, we aim to develop sustainable, efficient, and comfortable mobility solutions. Ihr Profil You have a completed university degree (Master’s or equivalent) in Electrical Engineering, Computer Science, or Mechanical Engineering Ideally, you have experience in electronics and/or software development You work independently, reliably, responsibly, and systematically You have excellent German and good English skills, both written and spoken Ihre Aufgaben As a Development Engineer (f/m/d) for Power Electronics in the research area Energy Management & Drivetrains at the Institute for Automotive Engineering, you can expect the following challenging tasks in a highly motivated team: Power electronics in the automotive context Researching new electronic concepts for sustainable mobility Developing and integrating electronics for prototype and series vehicles Leading projects in a timely and autonomous manner Access to state-of-the-art testing facilities Shaping the mobility of tomorrow Über uns 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. 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. As RWTH is committed to equality of opportunity, we ask you not to include a photo in your application. 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 http://www.rwth-aachen.de/dsgvo-information-bewerbung. Besoldung / Entgelt EG 13 TV-L

Postdoc – Protein homeostasis in mammalian oocytes (f/m/x) Group Gabriele Zaffagnini | CECAD Research Center 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. The ProteOOstasis Lab is a recently established research group at CECAD, located on one of Europe‘s top research campuses with state-of-the-art facilities. We focus on protein homeostasis in mammalian oocytes and its demise during reproductive aging. We are looking for an enthusiastic postdoc with a background in proteostasis, lysosomal signalling, and/or protein biochemistry. We offer a diverse range of research projects at the intersection between biochemistry, cell, and molecular biology, and an interdisciplinary range of experimental systems, from in vitro reconstitutions to live oocyte imaging. Candidates are welcome to propose additional projects within the scope and expertise of the lab. YOUR TASKS Dissect the regulation of endolysosomal super-organelles in mouse oocytes and its demise during reproductive aging Perform isolation, microinjection, immunostaining and imaging of mouse oocytes and embryos Optimise ultra-low-input proteomics and lipidomics for mouse oocytes Develop your own research project under the project in autonomy under the supervision of the PI Supervise undergraduate students and share your knowledge and expertise Promote a culture of respect, collaboration and mutual support in the lab YOUR PROFILE You hold a PhD in Biology, Biochemistry or similar field You have a proven record of research excellence, such as such as being a co- or first author of a publication (co-)first-author paper You are a team player who thrives in a collaborative working environment You have excellent written and oral English skills You are willing to work with mice. Previous accreditation as animal experimenter is desirable but not required You have a background in proteostasis, endolysosomal trafficking/signalling, biomolecular condensates and/or protein biochemistry Previous experience with oocyte/embryo manipulation, imaging, image analysis, and/or in vitro reconstituted systems is an advantage WE OFFER A large, international, top European research campus with state-of-the-art facilities An enthusiastic, collaborative, and curiosity-driven research environment A diverse working environment with equal opportunities Support in balancing work and family life Extensive advanced training opportunities Occupational health management offers Flexible working time models Opportunity to work remotely 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. The position is available from 1 January 2025 on a full-time basis (39,83 hours per week). The position is for two years with an option to extend up to 5 years (in total). 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. Please apply online with proof of the required qualifications without a photo under: https://jobportal.uni-koeln.de. The reference number is Wiss2409-06. The application deadline is 1 December 2024. For further inquiries, please contact Dr Gabriele Zaffagnini (gabriele.zaffagnini@uni-koeln.de).

Weitere Informationen The successful candidate will be employed under a regular employment contract. The position is to be filled at the earliest possible date and offered for a fixed term of 3 years. 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). This is a part-time contract position. The standard weekly hours will be 31,86 hours. The successful candidate has the opportunity to pursue a doctoral degree in this position. The salary is based on the German public service salary scale (TV-L). The position corresponds to a pay grade of EG 13 TV-L. Unser Profil The Institute of Highway Engineering (ISAC) at RWTH Aachen University stands for a sustainable and digital transport infrastructure. As a research institution, we therefore focus on the development and use of modern technologies and processes in the area of road infrastructure. We are seeking a motivated PhD student to join our research team in the SchwarmMessRad project. This innovative project focuses on predicting air pollutants and urban heat islands using crowdsourced data from sensor-equipped bicycles and artificial intelligence (AI). The results of this projects will contribute to better understanding of environmental pollution and heat islands in urban areas and enable to develop practical solutions for climate adaptation. For more information about our research activities, please visit our website: www.isac.rwth-aachen.de. Ihr Profil Completed university degree (Master's degree or equivalent) in Fluid Mechanics, Mechanical Engineering, Environmental Engineering, or a related field. Experience with sensor technologies, data collection systems, and laboratory test setups. Programming skills (g. Python, C++) for microcontrollers, measuring sensors and control units. Familiarity with environmental data analysis and strong analytical/problem-solving skills. Strong interest in environmental protection and emission control. Excellent communication skills in German (CEFR Level C1, C2, or native speaker); flexible and effective use of the English language for communication in private, public, academic, and professional contexts. Ihre Aufgaben Contribute to the development of a mobile measurement system to monitor air quality in diverse environments, selecting and evaluating suitable sensors for real-world use. Build a laboratory test stand at RWTH Aachen University to validate sensor performance, focusing on driving speed and angle of incidence. Verify system accuracy and collect data in real-world conditions, studying the effects of driving speed and environmental factors on air quality. Contribute to development of climate adaptation measures and collaborate with project partners on developing a user-friendly online platform to display the project results. Preparation, documentation and communication of research results in project meetings, project reports, scientific publications and national and international conferences. Über uns 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. 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. As RWTH is committed to equality of opportunity, we ask you not to include a photo in your application. 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 http://www.rwth-aachen.de/dsgvo-information-bewerbung. Besoldung / Entgelt EG 13 TV-L

Weitere Informationen The successful candidate will be employed under a regular employment contract. The position is to be filled at the earliest possible date and offered for a fixed term of 3 years. 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). This is a part-time contract position. The standard weekly hours will be 31,86 hours. The successful candidate has the opportunity to pursue a doctoral degree in this position. The salary is based on the German public service salary scale (TV-L). The position corresponds to a pay grade of EG 13 TV-L. Unser Profil The Institute of Highway Engineering (ISAC) at RWTH Aachen University stands for a sustainable and digital transport infrastructure. As a research institution, we therefore focus on the development and use of modern technologies and processes in the area of road infrastructure. We are seeking a motivated PhD student to join our research team in the SchwarmMessRad project. This innovative project focuses on predicting air pollutants and urban heat islands using crowdsourced data from sensor-equipped bicycles and artificial intelligence (AI). The results of this projects will contribute to better understanding of environmental pollution and heat islands in urban areas and enable to develop practical solutions for climate adaptation. For more information about our research activities, please visit our website: www.isac.rwth-aachen.de. Ihr Profil Completed university degree (Master's degree or equivalent) in Geoinformatics, Computer Science, Environmental Engineering, Civil Engineering or a related field. Strong background in analysis of geographical data in urban areas using GIS. Familiarity with environmental data analysis, satellite imagery and sensor technologies. Hands-on experience in data analytics using machine learning, pattern recognition and spatial statistics. Programming skills (e.g. Python, R) and experience with data analysis tools. Strong interest in environmental protection and emission control. Excellent communication skills in German (CEFR Level C1, C2, or native speaker); flexible and effective use of the English language for communication in private, public, academic, and professional contexts. Ihre Aufgaben Develop geospatial AI models for predicting air quality and urban heat islands based on data collected from mobile sensors. Analysis of environmental and climate data for integration into these geospatial models. Generate spatial and temporal forecasts on air quality and urban temperature patterns. Validation of predicted air quality and heat islands using stationary measurements and satellite images to ensure model accuracy. Work within the joint project team to analyse the transferability of these models to rural regions. Collaborate with project partners on developing a user-friendly online platform to display prediction results for public use. Preparation, documentation and communication of research results in project meetings, project reports, scientific publications and national and international conferences. Über uns 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. 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. As RWTH is committed to equality of opportunity, we ask you not to include a photo in your application. 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 http://www.rwth-aachen.de/dsgvo-information-bewerbung. Besoldung / Entgelt EG 13 TV-L

Weitere Informationen The successful candidate will be employed under a regular employment contract. The position is to be filled at the earliest possible date and offered for a fixed term of 3 years. 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). This is a part-time contract position. The standard weekly hours will be 31,86 hours. The successful candidate has the opportunity to pursue a doctoral degree in this position. The salary is based on the German public service salary scale (TV-L). The position corresponds to a pay grade of EG 13 TV-L. Unser Profil The Institute of Highway Engineering (ISAC) at RWTH Aachen University stands for a sustainable and digital transport infrastructure. As a research institution, we therefore focus on the development and use of modern technologies and processes in the area of road infrastructure. We are seeking a motivated PhD student to join our research team in the SchwarmMessRad project. This innovative project focuses on predicting air pollutants and urban heat islands using crowdsourced data from sensor-equipped bicycles and artificial intelligence (AI). The results of this projects will contribute to better understanding of environmental pollution and heat islands in urban areas and enable to develop practical solutions for climate adaptation. For more information about our research activities, please visit our website: www.isac.rwth-aachen.de. Ihr Profil Completed university degree (Master's degree or equivalent) in Geoinformatics, Computer Science, Environmental Engineering, Civil Engineering or a related field. Strong background in analysis of geographical data in urban areas using GIS. Familiarity with environmental data analysis, satellite imagery and sensor technologies. Hands-on experience in data analytics using machine learning, pattern recognition and spatial statistics. Programming skills (e.g. Python, R) and experience with data analysis tools. Strong interest in environmental protection and emission control. Excellent communication skills in German (CEFR Level C1, C2, or native speaker); flexible and effective use of the English language for communication in private, public, academic, and professional contexts. Ihre Aufgaben Develop geospatial AI models for predicting air quality and urban heat islands based on data collected from mobile sensors. Analysis of environmental and climate data for integration into these geospatial models. Generate spatial and temporal forecasts on air quality and urban temperature patterns. Validation of predicted air quality and heat islands using stationary measurements and satellite images to ensure model accuracy. Work within the joint project team to analyse the transferability of these models to rural regions. Collaborate with project partners on developing a user-friendly online platform to display prediction results for public use. Preparation, documentation and communication of research results in project meetings, project reports, scientific publications and national and international conferences. Über uns 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. 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. As RWTH is committed to equality of opportunity, we ask you not to include a photo in your application. 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 http://www.rwth-aachen.de/dsgvo-information-bewerbung. Besoldung / Entgelt EG 13 TV-L

PhD position (f/m/x) CRC 1218 on „mitochondrial regulation of cellular function“ 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. In the framework of the Collaborative Research Centre (CRC) 1218 on “Mitochondrial regulation of cellular function” (www.sfb1218.uni-koeln.de), scientists from different research institutions in Cologne have teamed up to study how mitochondria influence activity, differentiation and survival of the cell. The CRC1218 has been funded by the German Research Foundation (DFG) since July 2016. The Riemer lab (http://riemerlab.uni-koeln.de/) – part of the CRC1218 and located at the University of Cologne‘s Institute for Biochemistry – is looking for a doctoral student. Research in the Riemer laboratory focuses on different aspects of redox and mitochondrial biology. For example, we characterize the mechanisms of disulphide formation and hydrogen peroxide signalling in different cellular com¬partments. We are also interested in the physiological impacts of these processes for example in calcium and in metabolic signalling (Petrungaro et al, Cell Metabolism, 2015; Habich et al, Cell Reports, 2019; Calabrese et al, EMBO J, 2019 and Höhne et al, EMBO J, 2022). YOUR TASKS The doctoral candidate will perform a wide variety of biochemical and cell biological experiments including unbiased omics experiments and approaches with genetically encoded fluorescent proteins to uncover molecular mechanisms underlying different aspects of redox signalling from and in mammalian mitochondria. YOUR PROFILE We are looking for a doctoral candidate with a background in molecular biology, biochemistry, molecular medicine or biological chemistry. A Master‘s thesis on a topic related to the molecular mechanisms of cellular processes would be an advantage. Ability to plan experiments, develop methods, carry out analyses and summarize results in English is a requirement WE OFFER The doctoral candidate can build on the complementary expertise present in the CRC1218, .the excellent, state-of-the-art core facilities and the thriving, highly interactive scientific community in Cologne The candidate will expand his*her scientific horizon through participation in an interactive tailor-made educational program, the mito-RTG, that covers broad principles, and specific scientific and career development needs A diverse working environment with equal opportunities Support in balancing work and family life Extensive advanced training opportunities Occupational health management offers Flexible working time models 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. The position is available from 1 January 2025 on a part-time basis (25,89 hours per week).The position is to be filled for a fixed term of up to 2 years. An extension of the contract is possible. 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. Please apply online with proof of the required qualifications without a photo under: jan.riemer@uni-koeln.de The reference number is Wiss2409-08. The application deadline is 31 October 2024. For further inquiries, please contact Professor Dr Jan Riemer (jan.riemer@uni-koeln.de).

Weitere Informationen The successful candidate will be employed under a regular employment contract. The position is to be filled at the earliest possible date and offered for a fixed term of initially 2 years. An extension to a total of at least 3 years is planned. 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). This is a full-time position with the possibility of a part-time contract upon request. The successful candidate has the opportunity to pursue a doctoral degree in this position. The salary is based on the German public service salary scale (TV-L). The position corresponds to a pay grade of EG 13 TV-L. Unser Profil Invent the future of industrial 3D printing with us! The Chair for Digital Additive Production (DAP) at RWTH Aachen University collaborates with industrial and scientific partners to investigate the fundamental interrelationships of digital and additive manufacturing, transferring these findings to industrial applications. Our research encompasses a wide range of topics, from component design and process development to production and the application properties of additively manufactured components. Additionally, we focus on accompanying processes such as design, quality management, and the digital representation of the entire process chain. Our service portfolio is further enhanced by individual consulting and training services. Through industry projects, we work closely with partners from various sectors—including automotive, aerospace, turbomachinery, life sciences, machinery, tool making, and mold making—to develop and shape the future of digital and additive manufacturing. Furthermore, DAP offers extensive professional and personal development opportunities within a highly motivated team. Ihr Profil You hold an University degree (Master's degree or equivalent) in materials science, materials engineering, mechanical engineering, Computational Engineering Science (CES), physics, or an equivalent field of study and have a solid knowledge of and interest in materials modeling, mechanics of materials, and numerical simulation. Additional knowledge in programming (z.B. Python, C++, ...), material characterization, data analysis, or experience with further simulation methods is an asset. Furthermore, you are characterized by an independent and diligent work style and commitment. You are highly motivated to contribute your own ideas and play a significant role in shaping the future of additive manufacturing at DAP. Ihre Aufgaben You will be responsible for securing, coordinating, and executing diverse projects across digital and additive manufacturing domains. Specifically, you will advance the field by further developing a microscale model of metal plasticity, which enables the numerical simulation of dislocation plasticity—the primary mechanism driving mechanical deformation in metals. This model will simulate material behavior under thermal and thermo-mechanical loads during additive manufacturing, with a particular focus on composite coatings, in which a metallic matrix is combined with nonmetallic reinforcing particles. These coatings are crucial for reducing wear to extend component lifetime. The performance of these coatings is determined by matrix-particle interfaces, microscale deformation, and microstructural evolution during manufacturing. To gain a fundamental understanding of these physical mechanisms, you will create a microscale material model of additively manufactured metal matrix composites using experimentally informed dislocation plasticity simulations. Working with national and international partners, you will validate your simulations against experimental observations to identify key microscale deformation and damage characteristics and develop optimized material parameters. Über uns 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. 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. As RWTH is committed to equality of opportunity, we ask you not to include a photo in your application. 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 http://www.rwth-aachen.de/dsgvo-information-bewerbung. Besoldung / Entgelt EG 13 TV-L

Weitere Informationen The successful candidate will be employed under a regular employment contract. The position is to be filled by 3/1/2025 and offered for a fixed term of 3 years. 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). This is a part-time position (75 % of the standard weekly hours for full-time employees). The successful candidate has the opportunity to pursue a doctoral degree in this position. The salary is based on the German public service salary scale (TV-L). The position corresponds to a pay grade of EG 13 TV-L. Unser Profil The research focus of the Chair of Engineering Geology at RWTH Aachen University with its 40 employees is on the analysis of thermo-hydro-mechanically coupled problems in the fields of tunnel construction, unstable rock slopes and natural hazards, repositories for radioactive waste and deep geothermal energy.  We are a group of dynamic and international scientists with interests in all aspects of experimental and computational geomechanics, with a strong focus on applied topics. Ihr Profil University degree (Master's or equivalent) in the project-related discipline (e.g., applied geosciences, engineering geology, geotechnical engineering) Good knowledge of computational mechanics, rock mechanics and structural geology Good knowledge of programming languages, e.g., C++ or Python Reliable, ambitious, and able to work both independently and with a team Excellent written and communication skills in English Ability to quickly develop related research skills and knowledge Ihre Aufgaben Project title: THM-coupled Reservoir Response during non-Isothermal Fluid Circulation in Geothermal Systems (TOUGH) Project description: The demand for clean, sustainable, renewable and domestic energy resources has been grown rapidly during the last couple of decades. The extraction of Earth’s heat, known as geothermal energy, could contribute to the growing share of renewable energies in order to fulfill the future energy demand and also neutralize the spread of CO2 across the globe. Although the heat production from geothermal resources is not new, the heat extraction for electricity generation is one of the challenging techniques for the community due to various reasons such as dispersed distribution of heat at shallow depth and the requirement to reach a depth range of 4-6 km for electricity generation, impermeability of the host rock at these depths and necessity for reservoir stimulation to reach a sufficient permeability and connectivity and last but not least the induced seismicity potential during the reservoir creation, development and production phases. In this project, TOUGH, we intend to carry out a series of controlled experiments involving the circulation of fluid in both isothermal and   non-isothermal conditions within a fractured and densely instrumented reservoir at the Grimsel underground research laboratory, Switzerland. Our focus will be on studying how the rock mass reacts to cold/hot fluid injection and circulation through thermo-hydro-mechanical interactions. TOUGH also aims to address the key-aspects for maximizing long-term energy output and minimizing induced seismicity during long-term operation. Tasks: Setup a THM design model based on the existing data to be able to design the experimental setup Construct a 3D discrete fracture network model based on the geometrical, hydraulic and transport data which will be updated during the project as a response with various conducted experiment Develop, simulate and validate the circulation experiment using a THM coupled model in order to be able to better understand the on-going process during the TOUGH project Collaborate with project partners on experimental design and data analysis Present research findings at conferences and in scientific journals Über uns 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. 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. As RWTH is committed to equality of opportunity, we ask you not to include a photo in your application. 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 http://www.rwth-aachen.de/dsgvo-information-bewerbung. Besoldung / Entgelt EG 13 TV-L

Weitere Informationen The successful candidate will be employed under a regular employment contract. The position is to be filled at the earliest possible date and offered for a fixed term for one year initially. Continued employment for at least 2 years is planned. There is an option to extend the position to 4 years. 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). This is a full-time position. The successful candidate has the opportunity to pursue a doctoral degree in this position. The salary is based on the German public service salary scale (TV-L). The position corresponds to a pay grade of EG 13 TV-L. Unser Profil The Department for Industrial Furnaces and Heat Engineering (IOB) at RWTH Aachen University is one of the world's leading research institutes in industrial furnace technology and is particularly focussed on sustainable thermal process technology in material production. In this context, research topics of process and plant optimisation in the areas of production, processing and recycling of iron and steel, non-ferrous metals as well as glass and ceramics are dealt with in a total of five scientific working groups. The current focus is on the defossilisation of melting, reheating and heat treatment processes. Focus topics are low-pollution and CO2-neutral combustion technologies as well as electrification and, based on this, the development of new process technology and plant engineering. Further topics are process modelling and simulation and also increasing energy and resource efficiency. In addition to its specialisation, the IOB is characterised by application-oriented research in close cooperation with industry. Our partners not only include renowned research institutes but also well-known companies, especially from the steel, aluminum and glass sector as well as mechanical and plant engineering. Cooperation also takes place on an international level, currently especially through cooperative projects with institutes and companies from Europe. As a research associate (f/m/d) at our department, you will be part of an innovative research environment that develops and establishes the topic of defossilization of energy-intensive industries both nationally and internationally through application-oriented research projects and close contact with industry. Ihr Profil The prerequisites for joining the IOB are a successfully completed technical university degree (Master or equivalent) in the field of mechanical engineering, materials engineering, electrical engineering, industrial engineering, environmental engineering, process engineering, sustainable energy supply or comparable fields of study as well as fluency in written and spoken English. If possible, you have in-depth knowledge in the fields of heat and mass transfer, fluid dynamics and energy balances. Methodical knowledge in the fields of design, numerical simulation and modelling are also desirable as well as an affinity to electrical engineering. You have a high level of independence and commitment. You would like to develop and realise your own ideas. You enjoy working in a team, but can also concentrate on writing scientific articles on your own, for example. If you would like to join our team in shaping the energy transition, one of the most exciting topics of our time, please send your application documents (cover letter, CV and references) preferably by e-mail to the contact mentioned below. Ihre Aufgaben As a research assistant / associate at the IOB, you can realize your potential in the following fields of activity, with which we offer a varied spectrum of theoretical, practical and organizational work: Research - The digitalization of industry has been significantly advanced in recent years and remains the focus of research. Plant models, which can map and predict both the plant and component behavior during the process, are becoming increasingly complex and thus represent reality in ever greater detail. In thermoprocess technology, this is currently leading to material-oriented heat treatments and reheating. Your work focuses on the development of plant and process models and their interlinking to form process chain models for thermal processing plants. The model development based on FDM is supported by CFD simulations of the boundary conditions where necessary and validated using real plants. Optimized process control can save primary energy and minimize material loss. It is also possible to model the influence of new heating concepts. This makes it possible to make a direct contribution to the defossilization of energy-intensive industries on the basis of modern heating concepts, including those based on renewable energies. This also includes the publication of your scientific results, e.g. through presentations at national and international conferences and publications in high-quality journals. Industry - In addition to research activities, cooperation with industry is another important field of activity. In consulting projects you are involved in performing process analyses for our customers. Here, experimental methods (in the plant or at the IOB) as well as process modelling and numeric methods can be used. Optimization potentials or strategic issues, such as technology changes, are derived from the analyses and implemented. Together, future-oriented concepts are developed in this way. In addition, you will have the opportunity to expand and deepen your contacts in industry. Advanced training - At national and international conferences, seminars and congresses, you have the opportunity to transfer the knowledge gained from research into industrial practice. At the events and training courses for leadership, an exchange of expertise is possible in order to develop new ideas and establish contacts. Teaching - The department offers lectures and practical courses for students at RWTH Aachen University. As part of the department you support the lectures and at the same time take responsibility for the practical courses. In addition, there is the possibility to supervise ambitious students in their theses. You can gain experience in leadership by enabling student assistants to apply and expand the knowledge they have gained towards practical examples. Über uns 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. 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. As RWTH is committed to equality of opportunity, we ask you not to include a photo in your application. 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 http://www.rwth-aachen.de/dsgvo-information-bewerbung. Besoldung / Entgelt EG 13 TV-L

Campus Bielefeld - Wissenschaftliche*r Mitarbeiter*in - Vollzeit - ab sofort - Befristet bis 30.06.2029 - E 13 TV-L - english version below - Die Hochschule Bielefeld (HSBI) mit ihren über 10.000 Studierenden steht für höchste Standards in Lehre, Forschung und Wissenstransfer. Die Fachbereiche Gestaltung, Campus Minden, Ingenieurwissenschaften und Mathematik, Sozialwesen, Wirtschaft und Gesundheit arbeiten interdisziplinär, forschungsbasiert und eng vernetzt. Regionale und internationale Kooperationen sowie gelebte Vielfalt und Nachhaltigkeit prägen die Arbeit an den Standorten Bielefeld, Minden und Gütersloh. Im Fachbereich Ingenieurwissenschaften und Mathematik sind im Rahmen des BMBF-geförderten Forschungsvorhabens „FH-Kooperativ 2-2023: Cognitive Edge Computing für Multi-Sensor-Anwendungen mit Spärlichkeit in den Daten und hohen Latenzanforderungen“ (Edge4SparseML) zwei Positionen als Wissenschaftliche*r Mitarbeiter*in (m|w|d) im Bereich Künstliche Intelligenz | Maschinelles Lernen zu besetzen. Im Rahmen dieser Beschäftigungen ist jeweils eine (kooperative) Promotion vorgesehen. Ziel des Forschungsvorhabens ist die Entwicklung eines Methodenbaukastens für die effiziente Ausführung von KI/ML-Verfahren auf ressourcenbeschränkter Hardware für Echtzeitanwendungen. Aufbauend auf dem Methodenkasten sollen automatisierte Verfahren zur Exploration des Entwurfsraums geeigneter Kombinationen von KI und Hardware im Sinne eines HW/KI-Co-Designs erforscht werden. Es wird dabei insbesondere auf industrielle Anwendungen mit hohen Latenzanforderungen abgezielt. Dabei soll nicht nur die vollständige Kette als linearer Prozess von der Modellbildung bis zur Inferenz, sondern auch Rückwirkungen der Wahl der möglichen Hardware-Konfigurationen auf die ursprüngliche Modellbildung betrachtet werden.   IHRE AUFGABEN Wissenschaftliche Tätigkeiten im Rahmen des Projektes: Projektkoordination, Öffentlichkeitsarbeit, Wissenschaftsmarketing Entwicklung der Konzept- und Anforderungsanalyse im Bereich Oberflächeninspektion, Definiton der Bewertungsmaße für Hard- und   Software Aufbereitung von KI-Verfahren für Multi-Sensor-Anwendungen mit hohen Latenzanforderungen in der Oberflächeninspektion Entwurfsraumexploration, Hardwareoptimierung Aufbau eines Demonstrators und Validierung Entwicklung von Vorgehensmodellen Wissenstransfer/Publikationen Anleitung von studentischen und wissenschaftlichen Hilfskräften   IHR PROFIL Abgeschlossenes wissenschaftliches Hochschulstudium (Master of Science, Universität oder HAW/FH) aus dem Bereich Ingenieurwissenschaften, Informatik, Data Science oder einer vergleichbaren Disziplin Arbeitsplatz 1: Fachkenntnisse und Erfahrungen in den Bereichen Cognitive Edge Computing, Eingebetteter Systeme und Entwurfraumexploration; Arbeitsschwerpunkte: HW-/KI-Co-Design und automatisierte Entwurfsraumexploration engebetteter Systeme Arbeitsplatz 2: Fachkenntnisse und Erfahrungen in den Bereichen KI-/ML-Verfahren, Data Science, Big Data Arbeitsschwerpunkte: Evaluation passgenauer ML-Verfahren für industrielle Anwendungen mit hohen Anforderungen an Ressourceneffizienz und Latenz Erfahrung im Erstellen wissenschaftlicher Texte und der Präsentation von Forschungsergebnissen   UNSER ANGEBOT Arbeiten in einem interdisziplinären, kommunikativen und motivierten Umfeld, das sich mit Zukunftsthemen auseinandersetzt Hohes Maß an Gestaltungsspielraum und Freiheitsgraden im Rahmen der Projektaufgaben Unterstützungsangebote bei OpenAccess Publikationen und Forschungsdatenmanagement Teilnahme an Qualifizierungsangeboten Vielfältige Partnerschaften und Forschungskooperationen in einer der wirtschaftsstärksten Regionen Deutschlands Arbeiten an einer weltoffenen Hochschule mit starker Ausrichtung auf Nachhaltigkeit, Vielfalt und Internationalität Mobiles Arbeiten in Abstimmung mit dem Fachvorgesetzten Impulse für die individuelle Karriereplanung innerhalb und außerhalb der Wissenschaft Work-Life-Balance, unterstützt durch betriebseigene Kita und Ferienbetreuung Maßnahmen des Gesundheitsmanagements, u.a. durch Teilnahme am Hochschulsport, Gesundheitskampagnen und Impfaktionen   INTERESSE? Wir freuen uns auf Ihre vollständige Bewerbung unter Angabe der Kennziffer 03428 bis zum 26.11.2024 ausschließlich hier online.   Fragen zum Inhalt der zu besetzenden Arbeitsplätze beantworteten Ihnen gerne: Prof. Dr. Thorsten Jungeblut thorsten.jungeblut@hsbi.de               oder Prof. Dr. Wolfram Schenck wolfram.schenck@hsbi.de   Sie haben außerderdem jederzeit die Möglichkeit, sich mit Ihren Fragen an die dezentrale Gleichstellungsbeauftragte, Dr. Elke Koppenrade, unter elke.koppenrade@hsbi.de zu wenden. Weitere Informationen zum Ablauf des Bewerbungsverfahrens und zur Hochschule Bielefeld als Arbeitgeberin finden Sie hier. Bewerbungen von Frauen sind ausdrücklich erwünscht. Frauen werden bei gleicher Eignung, Befähigung und fachlicher Leistung bevorzugt berücksichtigt, sofern nicht in der Person eines Mitbewerbers liegende Gründe überwiegen. Die Hochschule Bielefeld ist für ihre Erfolge in der Gleichstellung mehrfach ausgezeichnet und zugleich als familien-gerechte Hochschule zertifiziert. Sie freut sich über Bewerbungen von Frauen. Dies gilt in besonderem Maße im wissenschaftlichen Bereich. Sie behandelt Bewerbungen in Übereinstimmung mit dem Landesgleichstellungsgesetz. Auch Bewerbungen von schwerbehinderten Menschen sind ausdrücklich erwünscht. Bei gleicher Eignung werden schwerbehinderte Menschen vorbehaltlich anderer gesetzlicher Regelungen bevorzugt eingestellt. Wir freuen uns, wenn Sie uns mitteilen, wo Sie auf unser Stellenangebot aufmerksam geworden sind.   With more than 10,000 students, Hochschule Bielefeld – University of Applied Sciences and Arts (HSBI) stands for highest standards in teaching, research and knowledge transfer. Its six faculties Design and Art, Minden Campus, Engineering and Mathematics, Social Sciences, Bielefeld School of Business and Health work in an interdisciplinary, research-based and closely linked manner. Regional and international cooperation as well as practised diversity and sustainability shape the work at the campuses in Bielefeld, Minden and Gütersloh. Within the framework of the research project “FH-Kooperativ 2-2023: Cognitive Edge Computing for Multi-Sensor Applications with Sparse Data and High Latency Requirements” (Edge4SparseML) funded by the Federal Ministry of Education and Research, the Faculty of Engineering and Mathematics seeks to fill two positions as Research Associates in the field of Artificial Intelligence | Machine Learning Candidates will be able to do a (cooperative) doctorate in the framework of their positions. The research project’s aim is to develop a method toolbox to efficiently run AI/ML procedures on resource-limited hardware for real-time applications. Based on the toolbox, it intends to investigate automated methods to explore the design space of suitable AI/hardware combinations in terms of a hardware/AI co-design. Particular emphasis lies on industrial applications with high latency requirements, considering both the complete chain as a linear process from modelling to inference and the repercussions of the choice of possible hardware configurations on the original modelling.   TASKS AND RESPONSIBILITIES Scientific activities within the framework of the project: Project coordination, public relations, science marketing Development of concept and requirements analyses in the domain of surface vision, definition of assessment criteria for hardware and software Preparation of AI processes for multi-sensor applications with high latency requirements in surface vision Design space exploration, hardware optimisation Demonstrator development and validation Development of process models Knowledge transfer/publications Instruction of student and research assistants   REQUIREMENTS Completed university degree (Master of Science at a university or university of applied sciences) in the field of engineering, computer science, data science or a comparable discipline Position 1: Expertise and experience in cognitive edge computing, embedded systems and design space exploration Research focus: Hardware/AI co-design and automated design space exploration of embedded systems Position 2: Expertise and experience in AI/ML procedures, data science, big data Research focus: Evaluation of tailored ML procedures for industrial applications with high resource efficiency and latency requirements Experience in writing academic texts and presenting research results   WHAT WE OFFER Work in an interdisciplinary, communicative and motivated environment that deals with future topics A high degree of creative freedom and leeway within the scope of the project tasks Support with open-access publications and research data management Opportunities for further qualification Diverse partnerships and research cooperations in one of the most economically powerful regions in Germany Work at a university that is open to the world and strongly oriented towards sustainability, diversity and internationality Mobile work in coordination with the specialist supervisor Ideas for individual career planning within and outside academia Work-life balance, supported by the university daycare facility and holiday care for schoolchildren Health management activities, e.g. participation in the university sports programme, health campaigns and vaccination programmes * Find out here what salary to expect and which benefits the collective agreement offers.   INTERESTED? We look forward to receiving your complete application stating the reference number 03428 by 26 November 2024 online only.   If you have any questions relating to the content of the positions we offer, please contact: Prof. Dr. Thorsten Jungeblut thorsten.jungeblut@hsbi.de   or Prof. Dr. Wolfram Schenck wolfram.schenck@hsbi.de   In addition, the faculty’s Gender and Diversity Officer Dr. Elke Koppenrade is available to answer your questions at all times at elke.koppenrade@hsbi.de. Please find further information on the application procedure and on HSBI as an employer at this link. We expressly welcome applications submitted by women. Applications from women will be given preference in case of equal suitability, skills and professional performance, unless reasons concerning the person of another applicant predominate. Hochschule Bielefeld – University of Applied Sciences and Arts has received multiple awards for its successes in promoting equal opportunities and has been certified as a family-friendly university. Women are particularly welcome to apply, especially in the field of research. HSBI processes applications in compliance with the Equal Opportunities Act of the State of North-Rhine Westphalia. Persons with severe disabilities are expressly encouraged to apply, too. Subject to other applicable laws, severely disabled applicants with equivalent qualifications will be given preferential consideration. Please let us know how you found our job advertisement.

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