Current job offers and thesis projects

The Fraunhofer-Gesellschaft currently operates 76 Institutes and research facilities in Germany and is the world’s leading organization for application-oriented research. Around 30,000 employees work on the annual research volume of 2.9 billion euros.

Materials and lasers with a system:
The Fraunhofer Institute for Material and Beam Technology IWS Dresden develops complex system solutions in laser and material technology. We see ourselves as idea drivers who develop solutions with laser applications, functionalized surfaces as well as material and process innovations - from easily integrated individual solutions to cost-efficient solutions for medium-sized companies and complete solutions suitable for industrial use.

In the field of battery technology, manufacturing processes and innovative material systems are being developed for the battery concepts of the future. The processing of liquid lithium metal for the production of battery electrodes is one of these technologies. We are looking for you to work on various issues relating to this topic in the Chemical Surface and Battery Technology department!

We are searching for:

• Dedicated and interested students who like to work independently and want to write their Master Thesis or Diploma
• Your background: Chemistry, Material Science, Chemical Engineering, Textile Engineering or similar subjects

What we offer:

• Work with teams of the project SFB/TRR280 “Design Strategies for Material-Minimised Carbon Reinforced Concrete Structures”
• Development of bioinspired interphases for novel building materials
• Interesting research topics: Surface modification of glass and carbon fibers according to biological principles, interphase characterization, scanning electron microscopy
• Integration of students into the team and current research project

Wir beschäftigen uns mit der Entwicklung von PET-Radiotracern, die Rezeptoren im Tumormikromilieu (TME = tumor microenvironment) für die Diagnostik und Therapie von Krebs sichtbar machen. Dazu werden geeignete tumoraffine Leitstrukturen identifiziert (niedermolekulare organische Moleküle, Peptide und Peptidomimetika), synthetisiert und mit einem geeigneten Radionuklid kovalent (z. B. Fluor-18, Iod-123) oder über einen Chelator (z. B. Gallium-68, Lutetium-177) markiert. Diese Radioliganden werden in vitro an Tumorzelllinien und in vivo im Tiermodell hinsichtlich einer Anwendung in der Nuklearmedizin getestet. Langfristiges Ziel ist die Translation der entwickelten Radiotracer in die Klinik als Diagnosewerkzeug (PET/CT) oder nach Markierung mit einem Beta- oder Alphastrahler für die Endoradiotherapie von Tumorerkrankungen. Im Rahmen eines Studentenpraktikums oder einer Abschlussarbeit (Bachelor/Master/Diplom) sollen organische Wirkstoffmoleküle synthetisiert und für eine anschließende radiochemische Markierung modifiziert werden. Die neuen Radioliganden werden dann biologisch in vitro und in vivo untersucht.

Tasks: Develop and apply accurate computational tools for the prediction of vibrational spectra of low-dimensional materials, including resonant and solvent effects. In particular, you will work on accelerating the calculations by using machine learning and density fitting approaches. You are expected to implement your methods in the program package CP2K. Applications of the developed methods will be performed in close collaboration with our experimental partners in the CRC 1415.

Requirements: university degree in physics / chemistry / material science, preferentially with theoretical background. We are looking for a motivated candidate, who is interested in electronic structure theory, code development and machine learning methods. Experience in programming is a plus, but not mandatory. However, a strong motivation to learn programming for supercomputing platforms is required.

What we offer:

• Training and courses in parallel programming at European supercomputing centers
• Work in international and interdisciplinary environment
• Broad qualification program and career support by the Graduate Academy of TUD.

Context
Production of electricity by nuclear power plants inevitably generates high-level and long-lived radioactive waste. A solution considered by several nuclear waste management agencies is to store them into deep underground repositories. The principle of such a concept is to provide a multi-barrier system to avoid the release of the radioactive waste through the biosphere for very long time scales (up to hundred thousand of years). It is thus of great importance to be able to characterize both at a macroscopic and a molecular level the different processes (retention, reduction, surface precipitation, etc.) that can take place onto mineral surfaces and thus affect the availability and the mobility of the radionuclides. This information can be inserted in surface complexation models for the description and prediction over a long time-scale of the interaction of pollutants at the solid/liquid interface with several sorbent surfaces. These surface complexation models rely on a thermodynamic description of the solid/water interface and represent a geochemically robust and sound approach to quantify adsorption equilibria.

Aim of the study
The solution of adsorption equilibria problems can be reached via Gibbs Free Energy Minimization and/or Law of Mass Action. Standard procedures apply commonly used geochemical software such as FITEQL/PHREEQC coupled to shell optimizers (UCODE, PEST). They are nevertheless subject to numerical instability and/or convergence problems, and to the risk to fall into a local minimum region rather than a global optimum valley. This risk is drastically increased when the number of adjustable parameters becomes higher than 3 or 4. Also the “trial and error” approach within the numerical fitting data can become very fast time consuming.
Thus, the objective of the present work are i) to develop alternative approaches to enable the handling of a high number of adjustable parameters at once, ii) the speed up of the optimizing procedure in order to reduce the time required for the user to reach a satisfactory description of the experimental data.

Specific tasks

• Implement a genetic algorithm coupled to Levenberg-Marquardt optimization on a high performance computing cluster,
• Compare the results of with another optimization path, namely Downhill Simplex,
• Find reliable ways to provide realistic uncertainties of the adjustable parameters (e.g. scale sensitivity, Monte-Carlo, etc.)

This internship or assistant position can be used as a basis for a follow-up Research Project, Bachelor or Master thesis.

Requirements
Good knowledge in python programming and standard optimization routines (Newton-Raphson, Levenberg-Marquardt, etc.) is mandatory. Students without knowledge in chemistry are also encouraged to apply. Very good English skills are appreciated. 

The Fraunhofer-Gesellschaft currently operates 76 Institutes and research facilities in Germany and is the world’s leading organization for application-oriented research. Around 30,000 employees work on the annual research volume of 2.9 billion euros.

Materials and lasers with a system:
The Fraunhofer Institute for Material and Beam Technology IWS Dresden develops complex system solutions in laser and material technology. We see ourselves as idea drivers who develop solutions with laser applications, functionalized surfaces as well as material and process innovations - from easily integrated individual solutions to cost-efficient solutions for medium-sized companies and complete solutions suitable for industrial use.

In the field of battery technology, manufacturing processes and innovative material systems are being developed for the battery concepts of the future. The processing of liquid lithium metal for the production of battery electrodes is one of these technologies. We are looking for you to work on various issues relating to this topic in the Chemical Surface and Battery Technology department!

Are you passionate about scientific experiments and extremely precise in your work? Then look forward to your new position with us! Together with our research team, you will perform and document important battery analysis experiments.
Since 2014, we at NOVUM have been making batteries calculable. With patented hardware and artificial intelligence, we can provide precise information about the condition and service life of energy storage devices. We even received the Saxon State Prize for Innovation for this in 2023!

The Institute für Luft- und Kältetechnik gemeinnützige Gesellschaft mbH is an independent non-university research institution with approx. 150 employees conducting industry-related research, development and technology transfer in the fields of air conditioning and refrigeration technology.

The following position is to be filled in the Applied Materials Science Department at the earliest possible date:

Working student (m/f/d) – focus on chemistry or materials science

Your main areas of activity

• You will work actively in our chemical-physical laboratory and thus support our laboratory team
• You will analyze heat transfer fluids
• You will prepare oil and gas samples as well as materials for the corresponding analyses

Your qualifications and other requirements

• You are currently studying chemistry, materials science or a related degree program
• You already have some experience of working independently in a chemical laboratory and have already obtained a Bachelor's degree
• Your working style is proactive, solution- and deadline-oriented and reliable Our offer

We offer you the opportunity to work as a student trainee for a maximum of 20 hours per week in a varied chemical laboratory environment and to drive forward pioneering research. The ILK also offers the opportunity to supervise a practice-oriented student research project.

Are you passionate about scientific experiments and extremely precise in your work? Then look forward to your new position with us! Together with our research team, you will perform and document important battery analysis experiments.
Since 2014, we at NOVUM have been making batteries calculable. With patented hardware and artificial intelligence, we can provide precise information about the condition and service life of energy storage devices. We even received the Saxon State Prize for Innovation for this in 2023!

Context
Production of electricity by nuclear power plants inevitably generates high-level and long-lived radioactive waste. A solution considered by several nuclear waste management agencies is to store them into deep underground repositories. The principle of such a concept is to provide a multi-barrier system to avoid the release of the radioactive waste through the biosphere for very long time scales (up to hundred thousand of years). It is thus of great importance to be able to characterize both at a macroscopic and a molecular level the different processes (retention, reduction, surface precipitation, etc.) that can take place onto mineral surfaces and thus affect the availability and the mobility of the radionuclides. This information can be inserted in surface complexation models for the description and prediction over a long time-scale of the interaction of pollutants at the solid/liquid interface with several sorbent surfaces. These surface complexation models rely on a thermodynamic description of the solid/water interface and represent a geochemically robust and sound approach to quantify adsorption equilibria.

Aim of the study
The solution of adsorption equilibria problems can be reached via Gibbs Free Energy Minimization and/or Law of Mass Action. Standard procedures apply commonly used geochemical software such as FITEQL/PHREEQC coupled to shell optimizers (UCODE, PEST). They are nevertheless subject to numerical instability and/or convergence problems, and to the risk to fall into a local minimum region rather than a global optimum valley. This risk is drastically increased when the number of adjustable parameters becomes higher than 3 or 4. Also the “trial and error” approach within the numerical fitting data can become very fast time consuming.
Thus, the objective of the present work are i) to develop alternative approaches to enable the handling of a high number of adjustable parameters at once, ii) the speed up of the optimizing procedure in order to reduce the time required for the user to reach a satisfactory description of the experimental data.

Specific tasks

• Implement a genetic algorithm coupled to Levenberg-Marquardt optimization on a high performance computing cluster,
• Compare the results of with another optimization path, namely Downhill Simplex,
• Find reliable ways to provide realistic uncertainties of the adjustable parameters (e.g. scale sensitivity, Monte-Carlo, etc.)

This internship or assistant position can be used as a basis for a follow-up Research Project, Bachelor or Master thesis.

Requirements
Good knowledge in python programming and standard optimization routines (Newton-Raphson, Levenberg-Marquardt, etc.) is mandatory. Students without knowledge in chemistry are also encouraged to apply. Very good English skills are appreciated. 

Wir beschäftigen uns mit der Entwicklung von PET-Radiotracern, die Rezeptoren im Tumormikromilieu (TME = tumor microenvironment) für die Diagnostik und Therapie von Krebs sichtbar machen. Dazu werden geeignete tumoraffine Leitstrukturen identifiziert (niedermolekulare organische Moleküle, Peptide und Peptidomimetika), synthetisiert und mit einem geeigneten Radionuklid kovalent (z. B. Fluor-18, Iod-123) oder über einen Chelator (z. B. Gallium-68, Lutetium-177) markiert. Diese Radioliganden werden in vitro an Tumorzelllinien und in vivo im Tiermodell hinsichtlich einer Anwendung in der Nuklearmedizin getestet. Langfristiges Ziel ist die Translation der entwickelten Radiotracer in die Klinik als Diagnosewerkzeug (PET/CT) oder nach Markierung mit einem Beta- oder Alphastrahler für die Endoradiotherapie von Tumorerkrankungen. Im Rahmen eines Studentenpraktikums oder einer Abschlussarbeit (Bachelor/Master/Diplom) sollen organische Wirkstoffmoleküle synthetisiert und für eine anschließende radiochemische Markierung modifiziert werden. Die neuen Radioliganden werden dann biologisch in vitro und in vivo untersucht.

We are a family-run company specializing in the production of flavours, pastes and other baking ingredients for the bakery and confectionery industry. For the period of the semester break, we are preferably looking for students of food chemistry who would like to support us in quality assurance in specification and sensory testing.

Are you from the Plauen/Vogtland area and do you feel this is for you? Then please get in touch with us. We are flexible with regard to the duration of the job and weekly working hours.

We are looking for people to support us at a medical congress. We need your help with tasks such as registering participants, supervising lecture halls and guiding the way.

Requirements/qualifications: We expect you to have a motivated work attitude, punctuality and the ability to work in a team. You must have good German language skills to carry out the work assignment! Experience in event management is not required.

The International Office is looking for tutors for the winter semester 2024/25 to prepare international students for their studies at the TU and to support them during their studies through special tutorials, especially at the beginning of each semester.

Tasks: Supervision of international students from your Faculty
(at the beginning of studies or during the study preparation for international students)

• Support with orientation in the respective Faculty and the organization of studies
• Organization of 4 tutorials before the start of lectures
• Organization of SLUB tours and campus tours
• Conducting 2 tutorials on the topic of exams/examinations and on life in Germany (socializing) during the semester
• Participation in a kick-off event for students preparing for their studies and subsequent implementation of 1–2 tutorials
• Individual support and answering e-mail inquiries from students of the respective Faculty

Prerequisite for the job is participation in a training course on 24.09.2024.

In this training you will be prepared for the above-mentioned tasks, get to know the students already working in the tutoring program and receive our information material.

While you start the new semester, we start the new season. Preparations for DEICHBRAND, SOUTHSIDE, HIGHFIELD, ELBENWALD & Co. are in full swing and, as a service provider in the event industry, we are looking for support to make the festival experiences unforgettable for visitors.
We are looking for reinforcement in various areas of the festival, for example in the set-up and dismantling in the technical area or in the recycling team.

What we offer:

• 13.50 € hourly wage
• 15.00 € travel allowance per route (you must organize your own travel)
• Crew catering and crew camping (you must bring your own equipment)

• Are you a beer enthusiast and a beer tap is nothing new to you?
• Would you like to help out at our events and pass on your enthusiasm for beer?
• Would you like to earn €13.50/hour alongside your studies?

... then join us from the university through the brewery into the world!

© bidi Bildung Digital

Unser Anliegen bei bidi (Bildung Digital) ist es, jedem Schüler und jeder Schülerin individuelle und kostenfreie Lernförderung zu ermöglichen. Wir sind davon überzeugt, dass Bildung ein grundlegendes Recht ist und keinerlei Barrieren darstellen sollte.

Wir suchen nach jungen, motivierten Menschen, die den Status quo herausfordern wollen. Wenn ihr euch nicht mit der Routine in einem Großkonzern zufriedengeben wollt, sondern einen direkten und sichtbaren Einfluss auf die Bildungslandschaft haben möchtet, dann seid ihr bei uns genau richtig.