Practical trainings, student assistants and theses

Studentische Hilfskraft (w/m/d) in der Verwaltung, im Bereich Vergabe- und Beschaffungswesen (Id 374)

Student Assistant

Foto: Header _Administration ©Copyright: HGF/HZDR

Department: Procurement

Contact: Steiniger, Frank, Schramm, Rainer

Requirements

  • Student (w/m/d) der Betriebswirtschaft, der Wirtschafts- und Ingenieurwissenschaften, der Informatik oder anderes Studium
  • Interesse an der Durchführung von Beschaffungen als öffentlicher Auftraggeber
  • Freude an der Kommunikation im Team, mit Wissenschaftlern und Lieferanten/Dienstleistern (w/m/d)
  • Deutsch- und Englischkenntnisse, gern auch weitere Fremdsprachen
  • Bis zu 19 Stunden pro Woche, mit der Möglichkeit der freien Zeiteinteilung (flexible, aber anteilige Verteilung)
  • Beginn ab sofort

Conditions

  • Eine flexible Tätigkeit mit guter Bezahlung bei einem attraktiven Arbeitgeber
  • Freude bei der Arbeit in einem innovativen "Einkaufs-Team"
  • Erwerb und Vertiefung:
- von Wissen sowie Softskills im Zusammenhang mit der Arbeit in Verwaltungssystemen, u. a. SAP / e-Vergabe
- von fachlichen Fähigkeiten, u. a. Umgang mit dem öffentlichen Vergaberecht

  • Arbeitsort HZDR, Standort Rossendorf
  • Bei Eignung und Interesse bieten wir eine längerfristige Perspektive mit einem interessanten Aufgabenspektrum.

Online application

Please apply online: english / german

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Softwareentwickler DevOps (w/m/d) (Id 373)

Student practical training / Student Assistant / Volunteer internship / Research Assistant

Die Zentralabteilung Forschungstechnik entwickelt spezialisierte Forschungsausrüstung für die Institute des HZDR. Die dazu entwickelte Software unterliegt unterschiedlichen und sehr individuellen Anforderungen. Du unterstützt uns dabei mit den von dir entwickelten Tools Abläufe zu automatisieren und Entwicklungsprozesse zu vereinfachen.

Das erwartet dich:

  • Du entwickelst Software Lösungen zur Verbesserung der Entwickler-Workflows unter Nutzung der GitLab API/SDK
  • Du erarbeitest Konzepte und setzt sie in Code um
  • Du nutzt und verbesserst Continuous Integration und Deployment Pipelines

Department: Instrumentation

Contact: Gorgis, Jonas

Requirements

Dein Profil:

  • Student (w/m/d) Informatik oder vergleichbares Studium
  • (Sehr) gute Kenntnisse mindestens einer relevanten Programmiersprache, z. B. Python, C++
  • Sehr gute Kenntnisse der Versionsverwaltung mit Git
  • Vorteilhaft sind Kenntnisse im Umgang mit Gitlab CI und Docker

Conditions

  • Beginn ab sofort möglich
  • Bis zu 19 Stunden pro Woche
  • Dauer zwischen 2 und 5 Monaten
  • Arbeitsort HZDR, Standort Rossendorf

Online application

Please apply online: english / german

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“Participation in establishing a web tool for the analysis of the metabolic activity of microorganisms” (Id 372)

Student Assistant

Foto: metabolic heat production during bacterial growth ©Copyright: Prof. Dr. Karim FahmyWe are looking for a Student Assistant (f/m/d) Biology / Physics / Biophysics / Biotechnology / Informatics
Prerequisites: basic knowledge of programming with Python, interest in microbiology and quantitative biochemistry.
The project will be carried out at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) in the Department of Biophysics at the Institute of Resource Ecology under the supervision of Prof. Fahmy and in close collaboration with the Department of Computational Science of the HZDR. The goal is the establishment of an open access web tool for the interactive evaluation of metabolic data from microorganisms. The work on the topic can be extended to a bachelor or master thesis in Biophysics. Publication: https://doi.org/10.3390/microorganisms10071397

Department: Biophysics

Contact: Prof. Dr. Fahmy, Karim

Requirements

basic knowledge of programming with Python, interest in microbiology and quantitative biochemistry

Conditions

The project will be carried out at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) in the Department of Biophysics at the Institute of Resource Ecology under the supervision of Prof. Fahmy and in close collaboration with the Department of Computational Science of the HZDR. The candidate (f/m/d) will support developing an open access web tool for the interactive evaluation of metabolic data from microorganisms.

Links:

Online application

Please apply online: english / german

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Extension of a open-source workflow engine for reproducible and scalable science (Id 368)

Student Assistant

For machine learning, data science and simulations, HZDR uses an open-source workflow engine to orchestrate predefined pipelines on HPC infrastructures. These pipelines run mathematical reconstructions, computational fluid dynamics simulations or machine learning model training.

While all of the above can be considered state of the art, composing such workflows in a scalable and yet reproducible fashion remains a challenge. To mitigate this challenge, we like to use open-source workflow engines (like snakemake) to provide a platform for such projects. As these communities are driven by volunteers, we would like to support work on these engines by adding features to support our science case. This is what we need your help for!

Department: Group of Artificial Intelligence

Contact: Dr. Steinbach, Peter, Dr. Schlegel, Fabian

Requirements

  • Programming experience with modern python
  • Experience with software environments in python
  • Contribution to major open source projects on github

Conditions

You will work in a multidisciplinary team at the Helmholtz-Zentrum Dresden-Rossendorf site in an inspiring environment inbetween physics, software engineering and data science. Home office is possible upon prior arrangement.

Online application

Please apply online: english / german

Druckversion


Studentische Hilfskraft (w/m/d) in der Verwaltung und im Reisekostenmanagement (Id 366)

Student Assistant

Mit Spitzenforschung in den Bereichen ENERGIE, GESUNDHEIT und MATERIE lösen wir am Helmholtz-Zentrum Dresden-Rossendorf (HZDR) einige der drängenden gesellschaftlichen Herausforderungen unserer Zeit. Das Görlitzer Center for Advanced Systems Understanding (CASUS) ist ein weltweit einzigartiges Zentrum für datenintensive Forschung im Bereich digitaler Systeme. Die deutsch-polnische Einrichtung wurde 2019 gegründet und betreibt interdisziplinäre Systemforschung in unterschiedlichen Bereichen wie Erdsystemforschung, Systembiologie und Materialforschung.

Das HZDR Center for Advanced Systems Understanding (CASUS) sucht ab sofort Studierende, die das Feld des Reisekostenmanagement und Verwaltung in einem öffentlichen Sektor kennenlernen und erste Erfahrungen in einem internationalen Umfeld sammeln möchten. Als SHK bist Du zuständig für die Organisation von Reisen und Unterstützung bei deren Durchführung und Abrechnung, sowie Unterstützung der administrativen Verwaltung in Görlitz bei unterschiedlichen Angelegenheiten, Aufgaben und Projekten.

Wir bieten:

■ Einen flexiblen Job mit guter Bezahlung, der sich auch noch gut im Lebenslauf macht
■ Freude bei der Arbeit in einem internationalen Team
■ Erfahrungen:
- bei der Vermittlung von Wissen sowie Softskills
- in der Arbeit mit Verwaltungssysteme wie SAP
- in der Arbeit mit Reisekostenabrechnungssystemen
- organisatorische Fähigkeiten, die bei Prüfungen, Bewerbungen und dem späteren Job helfen
■ Auf Wunsch eine längerfristige Perspektive mit einem Aufgabenspektrum, das mit der Zeit immer vielfältiger wird und zunehmend auch eigenverantwortliche Projekte enthält

Institute: CASUS

Contact: Mazur, Weronika, von Haymerle, Philipp

Requirements

■ Freude am Organisieren und an der Kommunikation im Team, mit Wissenschaftlern, Dienstleistern sowie mit unterschiedlichen Zielgruppen
■ Deutsch- und Englischkenntnisse
■ 19 Stunden pro Woche die Möglichkeit zum Arbeiten (flexible, aber anteilige Verteilung)

Conditions

Der Arbeitsbeginn soll nach Abstimmung relativ kurzfristig erfolgen.

Weiterführende Informationen können jederzeit gern erfragt werden bei:

Weronika Mazur | CASUS International Office
Philipp von Haymerle | CASUS Project Manager

Tel.: +49 3581 37523 23 | E-Mail: w.mazur@hzdr.de;
+49 3581 37523 21 | E-Mail p.haymerle@hzdr.de

CASUS – Center for Advanced Systems Understanding am HZDR
Untermarkt 20 | D-02826 Görlitz
www.casus.science

Online application

Please apply online: english / german

Druckversion


Development of an automation system for simulations in materials science (Id 361)

Master theses / Student Assistant / Research Assistant

As a member of the Helmholtz Association of German Research Centers, the HZDR employs about 1,400 people. The Center's focus is on interdisciplinary research in the areas of energy, health, and matter.
The Center for Advanced Systems Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research. CASUS was founded in 2019 in Görlitz and conducts digital interdisciplinary systems research in various fields such as earth systems research, systems biology, and materials science.

We are looking for motivated, creative, and curious students to help us create and automate workflows for generating interatomic potentials in matter under extreme conditions.

The scope of your job
The Department of Matter under Extreme Conditions at CASUS is working on the generation of accurate machine learning interatomic potentials (ML-IAPs), which can be used to determine the physical properties of matter under extreme conditions. For this purpose, training data are generated with DFT codes such as VASP or Abinit and used to create ML-IAPs by applying appropriate Hamiltonian models.

This is a multi-stage process that so far requires a lot of manual work. In this work, robust workflows and test routines will be designed both to generate ML-IAPs using AiiDA and to verify the generated ML-IAPs with respect to the accuracy of the calculated physical properties, primarily to increase the robustness and reproducibility of the process. Prior knowledge of materials science simulations is not required!

Department: Department of Matter under extreme Conditions

Contact: Dr. Cangi, Attila, Ramakrishna, Kushal

Requirements

  • Bachelor's degree in computer science or related field
  • Experience with Python, C++
  • Experience with Git
  • Ability to work in a team
  • Good language skills in English
  • Experience with software automation or database systems (optional)
  • Experience with scientific software development (optional)

Conditions

Tasks this project might involve:

  • Research of existing solutions for the automation of simulations
  • Development of the Python-based workflow with AiiDA
  • API development for the control of individual process steps

What we offer:

  • An exciting, open, and international research environment under excellent scientific and technical working conditions
  • High level of scientific networking and scientific excellence
  • Employment as a student assistant (optional, working hours by arrangement)

Links:

Online application

Please apply online: english / german

Druckversion


Development of an automation system for materials science simulations (Id 337)

Master theses / Diploma theses / Student Assistant

Foto: MALA ©Copyright: Dr. Attila CangiThe Center for Advanced Systems Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research. CASUS was founded in 2019 in Görlitz and conducts digital interdisciplinary systems research in various fields such as earth systems research, systems biology, and materials science.

We are looking for motivated, creative, and curious students to help us automate generating simulation data for machine-learning projects in the field of matter under extreme conditions.

The scope of your job
The Department Matter under Extreme Conditions at CASUS investigates how materials properties can be predicted based on machine-learning algorithms. This requires large amounts of simulation data. Generating this data requires a large degree of user input. In this project, you will investigate if and how existing tools for automation in the field of materials science can be integrated into computational workflows to drastically speed up data acquisition. This involves improving the in-house software and combining it with larger software suites. Besides ease-of-use, another focus of these workflows should be reproducibility. No prior knowledge of materials science simulation is required!

Tasks for this thesis might involve:

  • Literature research on existing solutions for the automation of simulations
  • Development and improvement of the existing Python workflows
  • Integration of existing workflows in larger software suites
  • Development of a graphical user interface, potentially web based

Department: Department of Matter under extreme Conditions

Contact: Fiedler, Lenz, Dr. Cangi, Attila

Requirements

  • Bachelor in computer science or related field
  • Experience with Python, JavaScript or Java
  • Ability to work in a team
  • Good language skills in English
  • Experience with software automation or database systems (optional)
  • Experience with Git or SVN (optional)
  • Experience with scientific software development (optional)

Conditions

  • A vibrant research community in an open, diverse, and international work environment
  • Scientific excellence and extensive professional networking opportunities
  • Compensation as student researcher (optional, working hours to be determined)

Online application

Please apply online: english / german

Druckversion


Student assistant at the DeltaX School Lab (Id 308)

Student Assistant / Research Assistant

Foto: Schülerlabor DeltaX - Experimentiertage Magnetismus ©Copyright: André WirsigThe DeltaX student laboratory makes research at the Helmholtz-Zentrum Dresden-Rossendorf an experience for students. We are looking for tutors who enjoy teaching science, research and technology and who would like to support students conducting their experiments. Apply as a student assistant in the DeltaX school laboratory and become part of a young and open-minded team.

Department: School Lab DeltaX

Contact: Dr. Streller, Matthias, Gneist, Nadja

Requirements

  • Study of a scientific subject
  • Remaining study duration of at least 2 semesters
  • Pleasure in teaching science and research- Good to very good grades
  • Very good knowledge of German (B2 / C1 level)

Conditions

  • 5 - 10 h / week on whole weekdays
  • Start of hiring according to agreement

Links:

Online application

Please apply online: english / german

Druckversion