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Die Technische Universität Dresden sucht zwei Forschungsassistenten/PhD-Studenten/Postdocs im Bereich der theoretischen Chemie. Die Positionen bieten die Möglichkeit zur akademischen Qualifikation und sind in einem dynamischen Forschungsteam eingebettet, das sich auf innovative Lösungen in der Materialwissenschaft konzentriert. Bewerbungen sind bis zum 9. Juli 2024 möglich.
TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in Germany. Founded in 1828, it is a globally oriented, regionally anchored top university focusing on the grand challenges of the 21st century by developing innovative solutions for pressing global issues. The university integrates natural and engineering sciences with humanities, social sciences, and medicine, promoting interdisciplinarity and societal transfer of science. As a modern employer, TUD offers attractive working conditions across teaching, research, technology, and administration, fostering individual development and full potential realization. Its culture emphasizes cosmopolitanism, mutual appreciation, innovation, and active participation, with diversity as a core value. At the Faculty of Chemistry and Food Chemistry, the Chair of Theoretical Chemistry offers, subject to resource availability, two positions as Research Associate / PhD Student / Postdoc (m/w/d), remunerated according to salary group E 13 TV-L. Starting as soon as possible, the PhD position entails 65% of full-time hours for up to 3 years, while the Postdoc positions are full-time for up to 2 years. These roles provide opportunities for further academic qualification, typically a PhD.
The project focuses on developing and using density-functional based and data-driven methods for designing novel ionic high-entropy and two-dimensional compounds. Successful candidates will utilize ab initio and machine learning techniques for thermodynamic and electronic analysis, emphasizing accurate thermodynamic stability descriptions crucial for ionic materials design. The candidate will develop a novel universal data-driven method combining previous correction schemes and machine learning to design and analyze ionic high-entropy and 2D materials and their electronic/magnetic properties. Collaboration with local and international partners will require strong scientific communication and networking skills.
A university degree (M.Sc. or equivalent) and, if applicable, a PhD in chemistry, physics, or theoretical/computational materials science, with strong knowledge in computational/theoretical physics/chemistry. Excellent communication and teamwork skills are essential, especially with experimental partners. Proficiency in scripting and programming (C++, Python), and skills in machine learning, high-performance computing, solid-state physics/chemistry, materials thermodynamics, 2D compounds, and density-functional theory (VASP, Quantum Espresso) are desirable.
A competitive salary within one of Germany’s most attractive research environments. TU Dresden offers excellent working, research, and networking opportunities. The positions are within the Dresden-concept Research Group “Autonomous Materials Thermodynamics” led by Dr. Rico Friedrich, with access to high-performance computing resources at ZIH Dresden. Dresden offers a high quality of life, rich history, and safety.
TUD encourages applications from women, candidates with disabilities, and those with family responsibilities, offering supportive services accordingly. Applications should include a motivation letter, CV with publications, academic certificates, and contact details for two references, submitted by July 9, 2024, preferably via the TUD SecureMail Portal as a single PDF file named “Application_Automat_your_First_and_Last_name.pdf” with the subject line “Application PhD / Postdoc Automat Firstname Lastname.” Only copies are required, as applications will not be returned. Travel expenses for interviews are not reimbursed.