Opportunities@IGSSE

Project teams FaiMONatSCAMDI and E-Cas welcome applications for 5 PhD positions.

2 PhD positions available (f/m/d) in project team 14.09 FaiMONat

Due to anisotropy of the materials with natural fibers and due to their strong dependency on different loading and environmental conditions, existing numerical models do not cover sufficiently the relevant phenomena for efficient simulation/optimization to support design decisions; a better compromise between efficiency and accuracy is required.

PhD Candidate 1

Within the scope of the first PhD thesis, the candidate needs to find out the lacking data and time-dependent constitutive laws, required for development of an integral material model for these materials. Finally, a set of comprehensive material models (user-defined UMAT model) will be developed that consider multiple effects of these parameters with increasing completeness, causing stiffness changes and are affecting the damage initiation and propagation of these materials. After initial validation and parameter calibration, the accepted models will be further developed to enable mono- and multi-fidelity assessments and optimization.

PhD Candidate 2

Based on the provided user-defined material models (UMATs), finite element (FE) models of several validation cases will be developed and assessed within the scope of the PhD thesis of the second candidate. To account for the uncertainty quantifications (mainly robustness/sensitivities) a higher number of simulations is necessary, which is only possible after complexity reduction. For this, the best compromise between efficiency and accuracy has to be identified not on the level of the finite element model but on the level of multi-query stochastic assessments. During this thesis, the in-house nonlinear model-order-reduction approaches will be adapted to the case of damage & failure of natural fiber structures using snapshots, randomized low-rank approximation methods, and hyper-reduction. The reduced order models (ROM) from the training with high-fidelity models can then be used for sensitivity and robustness analyses in the online phase.

Your profile

  • Excellent Master´s degree (or equivalent) in Computational Mechanics, Mechanical/Civil/Computational engineering or any related discipline
  • Expertise in programming (especially Python or C++)
  • Good understanding of mechanics of materials and the mathematics
  • Enthusiasm to establish new techniques
  • Highly motivated and keen on working in an international and interdisciplinary team
  • Good knowledge of English language

We offer

  • A stipend of €2000 per month for 36 months
  • Membership in TUM International Graduate School of Science and Engineering (IGSSE)
  • Interdisciplinary research environment and a great team
  • Extra funding for international travel and research stay

TUM is an equal opportunity employer. Qualified women are therefore particularly encouraged to apply. Applicants with disabilities are treated with preference given comparable qualification.

Contact

Please send your application materials, including a cover letter, a CV, your degree including a detailed transcript of records, and contact information of two referees to sarnaghi@hfm.tum.de, vandekuilen@hfm.tum.de or duddeck@tum.de until 01.01.2020.


2 PhD positions (f/m/d) in project team 13.03 SCAMDI

Das Klinikum rechts der Isar der Technischen Universität München widmet sich mit 1.161 Betten und rund 5.500 Mitarbeitern der Krankenversorgung, der Forschung und der Lehre. Jährlich profitieren rund 60.000 Patienten von der stationären und rund 250.000 Patienten von der ambulanten Betreuung. Das Klinikum ist ein Haus der Supra-Maximalversorgung, das das gesamte Spektrum moderner Medizin abdeckt. Seit 2003 ist das Klinikum rechts der Isar eine Anstalt des öffentlichen Rechts des Freistaats Bayern.

The Center for Allergy and Environment (TUM) invites applications for

two Ph.D. positions (f/m/d) in project team 13.03 SCAMDI

Chronic inflammatory skin diseases (CSID) affect ~ 4% of the western population and are characterized by a high degree of complexity reflected by variable clinical course and disease heterogeneity. This complexity is the major obstacle standing against development of precision medicine in the field of inflammation. In a common effort, groups at the department of dermatology, the department of mathematics and the ZAUM achieved a major scientific breakthrough by combining deep clinical phenotyping of chronic inflammatory skin diseases with transcriptomics of lesional skin. This approach led to the first disease classifier that is able to discriminate between two CSID, namely psoriasis AND eczema. Within this PhD project, we now want to validate new, molecular disease classifiers and implement those on a lab-on-a-chip device for clinical routine diagnostics. Single cell genomics will be established and combined with already existing gene expression data sets and clinical attributes to identify new disease biomarkers and therapeutic targets. To verify these newly identified targets, sophisticated cell culture techniques such as 3D full skin models mimicking human skin in vitro will be established and further developed.
The doctoral candidates will be part of the IGSSE graduate school and work in an interdisciplinary project team.

Your profile

  • Excellent Master´s degree (or equivalent) in biochemistry, chemistry, biotechnology, biology or related discipline
  • Expertise in cell culture with primary cells and molecular biology
  • Enthusiasm to establish new techniques
  • Highly motivated and keen on working in an international and interdisciplinary team.

We offer

  • A stipend of €2000 per month for 36 months (PhD1) and an E13 (65%) position (PhD2)
  • Membership in the International Graduate School of Science and Engineering (IGSSE)
  • Interdisciplinary research environment and a great team
  • Extra funding for international travel

TUM is an equal opportunity employer. Qualified women are therefore particularly encouraged to apply. Applicants with disabilities are treated with preference given comparable qualification.

Contact

Please send your application materials, including a cover letter, a CV, your degree including a detailed transcript of records, and contact information of two referees to stefanie.eyerich@tum.de.


1PhD position in project team 13.08 E-Cas

PhD position (scholarship) in Biocatalysis & Enzyme Engineering Project

The PhD project in project team E-Cas deals with the production of fuels and chemicals by a synthetic enzymatic cascade reaction. Four doctoral candidates from TUM and the University of Queensland (UQ) in Australia will cooperate to optimize four enzymes of a previously designed cascade reaction required to convert glucose to isobutanol. To achieve this goal, we will be using structural and mechanistic insight in combination with bioinformatics tools (molecular design and sequence reconstruction) and experimental approaches (high throughput techniques and robotics) to rationally and semi-rationally design enzymes that have increased catalytic activity and stability. Optimized enzymes will then be used to reconstitute the cascade and to design an optimal reaction setup to maximize productivity and yield. The outcome will provide a blueprint for the cell-free enzymatic conversion of renewable raw material into value-added chemicals.

Your profile

  • Excellent Master´s degree (or equivalent) in biochemistry, chemistry, biotechnology, biology or related disciplines.
  • Applicants with strong background in molecular biology and protein biochemistry are preferred.
  • Highly motivated and keen on working in an international and interdisciplinary team.

 We offer

  • A stipend of €2000 per month for 36 months
  • Membership in the International Graduate School of Science and Engineering (IGSSE).
  • Extra funding for international travel (including a research stay of 3 month at the University of Queensland in Brisbane)

TUM is an equal opportunity employer. Qualified women are therefore particularly encouraged to apply. Applicants with disabilities are treated with preference given comparable qualification.
Envisaged start of the project is the 1st of February 2019.

Contact
Please send your application materials, including a cover letter, a CV, your degree including a detailed transcript of records, and contact information of two referees to bew_cbr@cs.tum.de or Technische Universität München | Prof. Dr. Volker Sieber | Lehrstuhl für Chemie Biogener Rohstoffe | Schulgasse 16, 94315 Straubing | www.rohstoffwandel.de