Research Associate / PhD Student (m/f/x)

at  LeibnizInstitut fr Polymerforschung Dresden e V

01069 Dresden, Sachsen, Germany -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate10 Sep, 2024Not Specified11 Jun, 2024N/AGood communication skillsNoNo
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Description:

TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most
dynamic research institutions in the country. Founded in 1828, today it is a globally oriented,
regionally anchored top university as it focuses on the grand challenges of the 21st century. It
develops innovative solutions for the world’s most pressing issues. In research and academic
programs, the university unites the natural and engineering sciences with the humanities, social
sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity
and transfer of science to society. As a modern employer, it offers attractive working conditions to all
employees in teaching, research, technology and administration. The goal is to promote and develop
their individual abilities while empowering everyone to reach their full potential. TUD embodies a
university culture that is characterized by cosmopolitanism, mutual appreciation, thriving innovation
and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent
university. Accordingly, we welcome all applicants who would like to commit themselves, their
achievements and productivity to the success of the whole institution.
At the Faculty of Mathematics, Institute of Scientific Computing, within the Dresden Center of
Computational Materials Science (DCMS), the interdisciplinary research group Mesoscale Material
Modeling and Simulation offers a position as
Research Associate / PhD Student (m/f/x)
(subject to personal qualification employees are remunerated according to salary group E 13 TV-L)
starting as soon as possible. The position is limited until November 30, 2026 with the option of
extension. The period of employment is governed by the Fixed Term Research Contracts Act
(Wissenschaftszeitvertragsgesetz - WissZeitVG). The position offers the chance to obtain further
academic qualification (usually PhD). Balancing family and career is an important issue. The position
is generally suitable for candidates seeking part-time employment. Please indicate your request in
your application.
The position is embedded in the activities of the Mesoscale Material Modeling and Simulation group
headed by Dr. Marco Salvalaglio. It is funded by DFG projects dealing with mesoscale modeling of
crystalline systems. Core activities include the development and application of state-of-the-art phase-
field (PF) and phase-field crystal (PFC) models with the following goals: 1. Providing novel theoretical
tools that bridge the gap between microscopic and macroscopic features while studying crystals
considering real material properties. 2. Overcoming the limitations of current state-of-the-art
theoretical approaches in this field through novel, hybrid and data-driven approaches. 3. Enabling
applications to technology-relevant crystalline systems and related open problems in materials
science. 4. Extending modeling approaches to systems beyond crystals.
Collaboration with internationally renowned researchers in the field is planned. Exchange
programmes and short research stays abroad can be organized and are encouraged. Within the
framework of the DCMS, you will also have the opportunity to choose the main topic for your
doctorate (provided it is compatible with the topic). The work will primarily be based at the Institute
for Scientific Computing at TUD Dresden University of Technology.
Tasks: You will develop phase-field and phase-field-crystal models to study crystal properties (and
complementary methods for selected comparisons); you will investigate mechanical properties of
bulk crystals and thin crystalline films; you will analyze data and make quantitative comparisons with
experiments; you will implement models in computer codes for numerical simulations; you will carry
out numerical studies, including on HPC facilities. Further specific tasks can be tailored to your
interests.
Requirements: 1. university degree (Master) in mathematics, physics, materials science or related
subjects. 2. basic knowledge of computer programming (e. g. Python, Matlab and C++). 3. excellent
knowledge of the English language. 4. high problem-solving ability, motivation/interest in scientific
research, willingness to learn and work in a group. 5. Previous experience with numerical
methods/simulations, state-of-the-art computational techniques (e.g. data-driven methods and/or
FEM) and/or theoretical material modeling will be given preference.
TUD strives to employ more women in academia and research. We therefore expressly encourage
women to apply. The University is a certified family-friendly university and offers a Dual Career
Service. We welcome applications from candidates with disabilities. If multiple candidates prove to be
equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code
IX (SGB IX) will receive priority for employment.
Please submit your detailed application with the usual documents (including motivation letter, CV,
letter of recommendation and university certificates, i.e. list of academic achievements with grades)
by July 18, 2024 (stamped arrival date of the university central mail service or the time stamp on the
email server of TUD applies), preferably via the SecureMail portal of the TUD https://securemail.tu-
dresden.de by sending it as a single pdf file to marco.salvalaglio@tu-dresden.de or to: TU Dresden,

Responsibilities:

Please refer the Job description for details


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Education Management

Pharma / Biotech / Healthcare / Medical / R&D

Education

Graduate

Proficient

1

01069 Dresden, Germany