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

2 doctoral students in computational quantum many-body physics (f/m/x) Institute for Theoretical Physics 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. Our group conducts research in theoretical condensed matter physics, focussing on quantum materials and paradigmatic models of correlated electrons. We develop computational quantum many-body methods and dynamical mean-field theory extensions. We specialize in real-frequency implementations to explain spectroscopy and transport measurements.   YOUR TASKS Explore quantum materials at the forefront of research in condensed matter physics Develop and apply techniques of theoretical and computational physics Present and disseminate research results at scientific conferences and in publications   YOUR PROFILE M.Sc. degree in physics or a related discipline Knowledge of relevant theoretical methods Research experience relevant for the thesis project Excellent command of English High motivation, commitment good communication skills and team spirit are an asset   WE OFFER An exciting research project at the cutting edge of research on quantum matter Work in an international collaborative team A diverse working environment with equal opportunities Support in balancing work and family life Flexible working time models Extensive advanced training opportunities Occupational health management offers   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 positions are available as soon as possible on a parttime basis (50% in the first year, 75% afterwards). The contract is initially limited to three years. 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. Please apply online with proof of the required qualifications without a photo under: https://jobportal.uni-koeln.de. The reference number is Wiss2504-04. The application deadline is 14 May 2025. For further inquiries, please contact Junior Professor Fabian Kugler (jobopening-kugler@thp.uni-koeln.de) and take a look at our FAQs.

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 36 months initially. An extension is possible. 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 Traffic Safety Group at the Institute for Highway Engineering (ISAC), RWTH Aachen University, is dedicated to advancing road safety through research in traffic flow, road design, and accident analysis. Our interdisciplinary team combines engineering with behavioural science to develop innovative solutions for reducing accidents and enhancing transportation efficiency. We collaborate actively with national and international partners. We lead the PrioInt project, aiming to improve emergency vehicle prioritisation in urban traffic networks. Using AI-driven solutions integrated into existing telematics, the project leverages real-time traffic data to dynamically adjust traffic signals, facilitating rapid and safe passage for emergency responders, reducing response times, and improving overall traffic safety. Ihr Profil •    PhD in transportation engineering, traffic engineering, computer science, or related fields, ideally focused on intelligent transport systems or traffic safety. •    Strong expertise in traffic safety and flow modelling; familiarity with traffic psychology or human factors is advantageous. •    Proven experience with traffic simulation software (e.g., Vissim, SUMO)  •    Solid programming and data analysis skills; experience in artificial intelligence or machine learning. •    Knowledge of intelligent transport systems (C-ITS), telematics, or traffic signal control technologies. •    Excellent communication skills in English (written and spoken). •    Fluency in German (spoken and written) essential for local stakeholder interaction. •    Independent, proactive, problem-solving oriented, able to work in interdisciplinary teams. Ihre Aufgaben •    Conduct research on intelligent prioritisation of emergency vehicles using AI-based real-time analysis and digital twin traffic simulations. •    Develop adaptive algorithms enabling traffic signals and telematics systems to prioritise emergency vehicles automatically. •    Design, execute, and evaluate traffic simulations to refine prioritisation logic under varied conditions. •    Collaborate closely with industry partners and public authorities (e.g., police, city traffic departments) for real-world pilot deployments. •    Publish findings in scientific journals and present at conferences. •    Supervise students and support project management activities (progress reports, meetings). •    Prepare research proposals and effectively manage your time to combine proposal writing, ongoing project activities, and publication tasks. 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 7/1/2025 and offered for a fixed term initially for 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 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 Traffic Safety Group at the Institute for Highway Engineering (ISAC), RWTH Aachen University, focuses on improving road safety through research in traffic flow, road design, and accident analysis. Our interdisciplinary team integrates engineering and behavioural science to create innovative solutions for reducing accidents and increasing transportation efficiency. We maintain active collaborations with both national and international partners. The SEEclear project aims to develop an innovative software tool for effective speed monitoring in urban traffic. By using machine learning, location data, and advanced analytics, the software will provide data-based recommendations on where and how to control speed. This will help improve both traffic safety and environmental conditions. Ihr Profil •    University degree (Master’s degree or equivalent) in transportation engineering, civil engineering, computer science, data science, or related fields. •    Strong interest and foundational knowledge in traffic safety, data analysis, and/or machine learning. •    Familiarity with statistical and machine learning techniques; prior experience with algorithms such as Random Forests, DBSCAN, or Decision Trees is beneficial. •    Good programming skills in Python, R, or similar languages, and experience in data analysis software. •    Knowledge of traffic simulation and geographic information systems (GIS) is advantageous. •    Excellent English communication skills (written and spoken). •    Fluency in German is advantageous. •    Independent, proactive, problem-solving oriented, and comfortable working in interdisciplinary teams. Ihre Aufgaben •    Conduct research in traffic safety, focusing on advanced data analysis, machine learning, and predictive modelling to identify optimal speed control strategies. •    Develop, implement, and validate machine learning models for analysing traffic and safety data. •    Prepare, process, and analyse diverse data sets (traffic measurements, accident statistics, infrastructure data, demographic information). •    Conduct validations using collected local traffic data and historical data to ensure accuracy and reliability of developed models. •    Collaborate closely with local municipalities, police departments, and industry partners to apply research outcomes in real-world scenarios. •    Publish your findings in scientific journals and present your research at relevant conferences and workshops. •    Support project management activities, including progress reporting and organisation of meetings. 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 two years. It is intended to extend the contract initial contract period by one year. 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 Chair for Optical Diagnostics in Energy, Process and Chemical Engineering (LOM), established in November 2022, belongs to the Faculty of Mechanical Engineering (FB4). We are a fast-growing team with a strong focus on long-term, multidisciplinary and international collaborations. At LOM, we develop and apply advanced laser and optical measurement techniques to solve challenging problems in the field of energy, process chemical engineering. By developing the tools necessary to address these problems, LOM directly supports (among other things) the energy transition, sustainable mobility on land, air and sea, and decarbonization of industrial processes. We work closely with a wide range of collaborators from academic and industrial research groups.  Ihr Profil Technical studies (master degree or comparable) completed with above-average success in the field of mechanical engineering, physics or comparable fields of study Very good knowledge of thermodynamics, flow, combustion and process engineering If possible, you have in-depth knowledge in the field of laser and optical measurement techniques (e.g. PIV, LIF, Rayleigh and/or Raman scattering spectroscopy) You are enthusiastic, like challenges and have a high degree of independence, commitment and initiative You have very good communication and teamwork skills You are fluent in spoken and written German and English  Ihre Aufgaben As a research assistant/associate at the LOM, we offer you the opportunity to participate in various innovative R&D projects in the field of "turbulent, reactive and high-temperature flows". Within this framework, you will contribute to a better understanding of various energy-, process- and chemical-engineering-relevant processes through the development and application of state-of-the-art laser-optical methods. Your responsibilities will also include the publication of your scientific results through lectures at national and international conferences and publications in high-quality journals. In addition, you will support the teaching activities of the institute by supervising courses and student theses. The activity thus offers a varied spectrum of theoretical, practical and organizational work.  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 initially 1 year. An extension for 4 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 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. 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! Ihr Profil 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. 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. 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: High voltage equipment and technology Modeling and numerical simulation of multi-physics problems Primary technology such as switchgear and transformers Digital Twins or Machine Learning Ihre Aufgaben 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. 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. 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 two years initially. Continued employment for this position for at least one further year 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 Topic and background: 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). The Research Training Group MOSAIC: 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: https://www.mosaic.rwth-aachen.de/go/id/blmbhz/  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. Ihr Profil 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) 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++) Desirable: Knowledge in the field of modelling and simulation (auralization) as well as in the field of study and test planning  Very good knowledge of German and English (both languages essential) Willingness to work in an interdisciplinary team, to take on responsibility, and to travel Interest in further scientific qualification in the form of a doctorate Ihre Aufgaben Scientific processing of the research question in the MOSAIC network, close coordination and exchange with other doctoral students and project participants in the network Representative survey of typical noise events in buildings Planning and conducting test subject studies in the laboratory in order to quantify the effects of these sound events under standardized conditions Development of action and planning tools, integration into existing planning software Collaboration with national and international scientists and colleagues from various disciplines Presentation and publication of research results at international conferences and in international journals Participation in teaching and institute operations   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. 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 initially for 2 years. The option to extend the contract for three further 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 The Institute of Control Engineering, directed by Prof. Heike Vallery, is part of the Faculty of Mechanical Engineering at RWTH Aachen University. The institute specializes in control and automation engineering and aims to act as a bridge between theory and application in the domains of control and automation engineering. In addition to offering fundamental education in control theory, the research work of the institute focuses on mechanical-, automotive-, process-, energy- and medical-engineering. For more information please see: www.irt.rwth-aachen.de Ihr Profil You have successfully completed a university degree (master’s degree or equivalent) in mechanical engineering, electrical engineering, automation technology or computer science and have the following knowledge and skills: basic knowledge in the field of control and automation technology or data science, ability to work independently and scientifically, ability to work in a team, flexibility, good written and spoken English. Ihre Aufgaben In today's manufacturing industry, process automation is becoming increasingly important, as it not only makes a significant contribution to reducing manual interventions—and thereby saving manpower—but is also essential for implementing sustainability strategies. Alongside improving efficiency, resource conservation and the circular economy are taking center stage in modern production processes. Through the targeted use of modern automation technologies, complemented by machine learning, processes are not only designed to be more efficient and resource-saving, but are also systematically monitored and optimized with regard to their sustainability. This results in a significant increase in productivity and enables the consistent achievement of high quality standards without the need for extensive manual controls. Our research aims to develop innovative control strategies that successfully balance maximum product quality with the steadfast implementation of the circular economy, sustainability, and resource conservation in order to meet the increasing demands of the market. Especially for thin, metallic strips that are used in various technological fields, such as communications or high-frequency technology, controlling surface roughness is of crucial importance. These surface properties—such as paint adhesion, surface gloss, and tribological indicators like the coefficient of friction—decisively influence both the functionality and the external appearance of the final product. To address the complex requirements of these applications, our research combines state-of-the-art process automation concepts with innovative control strategies and machine learning approaches. In collaboration with the Institute of Metal Forming at RWTH Aachen University, we are developing methods that utilize precise measurement techniques, adaptive control algorithms, and data-driven machine learning models to enable continuous monitoring and regulation of surface parameters. For example, real-time measurements can capture the roughness of the metallic strips and feed this data directly into the control system to achieve desired surface qualities—such as optimal paint adhesion and a uniform gloss. Simultaneously, machine learning algorithms facilitate the early detection and prediction of wear phenomena, for instance on working rollers, thereby optimizing maintenance intervals and reducing unplanned downtimes. As part of the doctoral position, you will research novel approaches to application-oriented automation and control together with interdisciplinary project partners of the institute of Metal Forming and industry. Your work will cover a wide range of issues in the following areas: modeling technical systems, machine learning, self-optimizing and learning controls, implementation of algorithms in prototype software, experimental validation on real test beds.   You will present your research findings at international conferences as well as in renowned scientific journals. Furthermore, you will share your knowledge through teaching activities for students. 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