29 Teilzeit Ux Research Jobs

Entwicklung und Charakterisierung von Katalysatoren, Durchführung elektrochemischer Tests unter verschiedenen Bedingungen, Nutzung fortgeschrittener analytischer Techniken zur Überwachung der Katalysatorbeziehungen, Optimierung der experimentellen Bedingungen für industrielle Anwendungen

Unlocking new raw materials, new catalysts, and new processes for a sustainable circular economy, Conducting kinetic studies in high pressure flow reactors, Integrating experimental work into a digital work-flow, Using obtained data for machine learning assisted simulation of reaction networks and prediction of catalytic performance

Co-responsible for the research tasks in the GetCohesive project, Research participation in the pilot projects (participatory processes involving vulnerable groups), Partial management of science communication, Organisation and implementation of the project meetings in Berlin, Participation in the scientific publication

Koordination und Moderation von Co-Creation-Workshops, Wissens- und Technologietransfer, Unterstützung bei der Planung und Realisierung eines Technologie- und Anwendungslabors, Entwicklung eines Verwertungskonzepts für EUV-Lithographie, Möglichkeit zur wissenschaftlichen Tätigkeit zu aktuellen Forschungsthemen

Identifying current technology trends and innovative fields of research, Elaboration of new scientific findings, development of new methods, processes and applications in the research field of technologies and platforms based on distributed services, especially in the area of distributed computing, online social networking and distributed ledger technologies (DLT), Research management in research and development projects (R&D), Planning and implementation as well as scientific and organisational management of national and international research projects and coordination of joint activities within the framework of scientific collaborations, Acquisition of new projects, Organisation and implementation of fairs, forums, workshops and conferences on the various research projects, Publishing research results at national and international scientific workshops, conferences and in scientific journals, Professional guidance of doctoral and diploma students

Conduct research in the areas of database systems, big data analytics, and data science, Further the development of information management theory and algorithms, with respect to parallel and distributed processing systems suitable for complex analysis methods involving large data volumes on heterogeneous processors, Perform teaching duties for DIMA courses, such as Informationssysteme und Datenanalyse, Database Technology and Scalable Data Science: Systems and Methods

Research in the field of physical and chemical characterization of atmospheric secondary particle formation and/or turbulent transport of aerosol particles in the atmospheric boundary layer using experimental studies in the field, Model simulations of atmospheric chemistry using process-oriented and statistical models, Co-supervision and operation of the aerosol measurement equipment at the chair, Teaching at the chair (BSc/MSc) and supervision of student theses

Field and laboratory studies on the chemical transformation of reactive trace substances in the environment, Quantitative data analysis, Co-supervision and operation of the environmental chemistry analytical equipment at the chair, Teaching at the chair (BSc/MSc) and supervision of student theses

Support the team in researching energy-efficient use of system technology in buildings and neighborhoods., Develop a control strategy for a heating system combination of a heat pump and radiant heating to ensure energy-efficient use., Optimize the degree of utilization of the heating system.

Conduct independent research into generative learning methods for hydrogen burners in gas turbines, Perform numerical experiments with deep learning frameworks like PyTorch or TensorFlow, Evaluate simulation results for physical and statistical suitability, Write scientific papers on the 'Turbo Transition' project, Participate in activities of the Turbo consortium and the research network 'Effiziente Energieumwandlung', Maintain exchange with the industrial partner Siemens Energy, Support teaching with 1 semester hour per week

Involvement in the interdisciplinary field of product development at the TU Berlin, Inspire students and contribute to information and process control, circular economy, and sustainable product development, Represent technical interests in a national research project, Support implementation of AI methods and algorithms in product development, Present subjects at national and international conferences, fairs, and workshops, Guide student workers, Stay in close contact with industry innovations, Opportunity for doctoral studies

Conduct independent research at the intersection of data engineering and machine learning, Collaborate with PhD students, Coordinate with other research groups in BIFOLD and external partners, Supervise master/bachelor theses, Engage in teaching activities

Collaboration in a research project focusing on process automation in Industry 4.0, Analysing existing processes and protocols; developing and evaluating new concepts, data structures and vocabularies for end-to-end networking from product development to production, Supervision of student workers and student theses within the research project, Possibility of a doctorate (desirable)

Unravel the complex electronic behaviors of 2D van der Waals semiconductor heterostructures, Explore the electronic structure in reciprocal space and in the time domain, Address the topology of the electronic wavefunction, Illuminate the roles of moirè modulation, correlated physics, and band topology in layered systems, Employ a cutting-edge table-top XUV trARPES setup for analysis, Utilize custom optical parametric amplifiers for spectral tunability and photoexcitation control, Achieve monolayer heterostructures with high levels of interface purity for precise analysis

Independently researches methods for testing and validating deep neural networks in the context of autonomous driving., Develops methods for online monitoring and retrieval of corner cases in road scenes that could potentially pose a danger to an autonomously driven vehicle., Conducts numerical experiments with deep learning frameworks such as PyTorch or TensorFlow for online monitoring of perception networks and evaluates the results statistically., Investigates experimental designs for ensuring the safety of neural networks under variable lighting conditions and in teacher-student configurations and implements these findings in numerical experiments., Writes scientific papers on the topic of the 'SafeAIEngineering' project., Participates in the activities of the SafeAIEngineering consortium as part of the project., Maintains the exchange with the industrial partners and other participants in the consortium and takes on project management tasks.

Adaptation and extension of existing control algorithms for the integration of MR applications in the industrial operation and maintenance context, Implementation of the interfaces between MR solution and automation technology together with project partners in the academic and industrial environment, MR support through test processes in automation and control technology, Development of safety and security solutions for MR applications in industrial context

Research and teaching in the field of Life Cycle Sustainability Assessment, Focus on Life Cycle Assessment Carbon and Water Footprint, Resources and Social Life Cycle Assessment

Forschung im Bereich Architektur und Gesellschaft, Teilnahme an Veranstaltungen der Graduiertenschule, Zusammenarbeit mit anderen Doktoranden und Institutionen, Verfassen einer Dissertation

Engage in groundbreaking research to develop advanced sensors that are event-based, resource-constrained, energy-efficient and show low-latency., Collaborate with an international, multi-disciplinary team to achieve the collective research agenda., Produce high-quality publications and publicly disseminate research results through conferences., Contribute to the university through undergraduate teaching and mentoring., Serve the academic community through peer review and conference organization.

Design hardware for artificial intelligence (AI) to solve societal challenges., Explore bio-inspired learning algorithms and implement them in hardware., Design novel nanoelectronic devices and leverage their complex physics for new learning algorithms., Collaborate with an international, multi-disciplinary team on research agenda., Produce high-quality publications and disseminate research results through conferences., Contribute to undergraduate teaching and mentoring., Serve the academic community through peer review and conference organization.