Stellenausschreibungen

Institut für Geographie der Universität Erlangen-Nürnberg

The Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany, invites applications for a Doctoral Researcher (75% FTE) for the AHRC-DFG funded project “Networked through Sound: Listening to 20th Century Wildlife Sound Archives”, supported by the UK-German Funding Initiative in the Humanities. In the twentieth century, wildlife sound archives emerged as new sites of specialist scientific data sets, primarily as repositories of recordings for bioacoustics research, which is the study of animal sounds, and as reference libraries for the identification of species by scientific taxonomists and wildlife enthusiasts. These archives and their recordings are of contemporary relevance, from their commercial application in Apps, films, and computer games, to their ongoing use in ecological monitoring for environmental conservation. Networked through Sound: Listening to 20th Century Wildlife Sound Archives investigates the emergence of a network of seven wildlife sound archives initiated in the mid 20th century across Europe and South Africa. The primary objective of the project is to understand how this network of wildlife sound archives, and the sound recordings they are composed of, are produced and consumed across different social and cultural contexts.

The PhD project will focus on The British Library’s Wildlife and Environmental Sound (WES) collection (London, UK) and the Animal Sound Archive (ASA) at The Museum für Naturkunde (Berlin, Germany). Besides the predominant role of natural scientists in contributing sound recordings to the collections, these two archives hold numerous collections of hobbyists and enthusiasts, especially female sound recordists, who contributed to the two archives but have thus far gained little recognition. Furthermore, local experts guiding European wildlife sound recordists to find ‘unknown’ places and species on their recording expeditions have been erased in the re-telling of wildlife sound recording. The doctoral researcher will carry out a distinct research project on these hidden and marginalized forms of expertise within both archives.

Your responsibilities:

• Work as a doctoral researcher on the AHRC-DFG funded project “Networked through Sound: Listening to 20th Century Wildlife Sound Archives”, co-led by Prof. Dr Sandra Jasper (FAU) and Dr Jonathan Prior (Cardiff University)
• Write a doctoral dissertation in the aforementioned research area
• Collaborate and conduct research within the UK-German team and independently
• Analyse written archival documents, including correspondence letters of archivists, curators, and sound recordists, and internal archival documentation; conduct interviews with key experts, including personnel at the archives and sound recordists; analyse selected wildlife sound recordings held at the WES and ASA
• Co-author and single author peer-reviewed publications in international academic journals
• Present research results at international conferences; co-organize project workshops and an international conference in the final year of the project

Necessary qualifications:

We are looking for a PhD candidate who:

• has graduated with excellent results on a research-based MA thesis in human geography, environmental history, environmental humanities, sound studies, media studies, landscape philosophy, or a related field
• has excellent written and spoken English language skills
• enjoys critical and independent thinking and has a keen interest in exploring ideas and archival collections
• is able to work independently, as well as collaboratively within an international research team
• takes initiative and enjoys organizing and engaging in international academic exchange
• has proven knowledge of qualitative social science research methods (e.g. successfully completed methods seminars)

Desirable qualifications:

Ideally, the PhD candidate also has:

• experience in working with archival collections
• experience and interest in listening methods, sound recording, sound composition or sound analysis
• good verbal communication and reading skills in German

Befristetes Forschungsvorhaben

Befristetes Forschungsvorhaben!

We offer you:

• 3-year doctoral researcher position (75% FTE) with German salary (according to TV-L E 13) to begin on 1 April 2025
• Co-supervision by the project co-leads Prof. Dr Sandra Jasper (FAU) and Dr Jonathan Prior (Cardiff University)
• Research travel and conference budget
• If desired, teaching experience
• Collaborative and international team committed to your career development
• Extensive training opportunities, for example through the FAU Graduate Centre
• Fully equipped workplace at the Institute for Geography
• Flexible working hours, remote work options, and excellent family-work compatibility

The "Chair for Dynamics, Control, Machine Learning, and Numerics – Alexander von Humboldt Professorship (FAU DCN-AvH)", led by Prof. Enrique Zuazua, invites applications for two (02) open postdoctoral research positions at the ERC CoDeFeL, Control for Deep and Federated Learning project.

Context of the ERC-CoDeFeL project

CoDeFeL seeks to make a breakthrough that takes the mathematical foundations of Machine Learning beyond their present frontiers, through the systematic development of new ideas and methods inspired by control theory. The project is developed in cooperation with the University of Deusto in Bilbao, Basque Country, Spain.

Position Details

• Duration: Initially limited to up to three (3) years, with the possibility of extension.

• Starting Date: To be adapted to the availability of selected candidates (preferably on February 1, 2025).

• Salary: Competitive international annual gross salary following the German TV-L (E 13) scale.

• Location: The positions are based in Erlangen – Bavaria, Germany.

While the primary focus is on research, collaboration with the Chair activity and mentoring is encouraged.

We are looking for a postdoctoral researcher with expertise in mathematical Control and/or Machine Learning and numerical Partial Differential Equations. The candidate is expected to be able to address the research challenges of the ERC CoDeFeL project in cooperation with team members and partners, contributing to the supervision of the younger fellows of the team.

Furthermore, the candidate will be involved in publishing research findings in scientific journals, presenting them at national and international conferences, and supporting the research team with the technical reporting and results dissemination of the CoDeFeL project.

While the primary focus is on research, collaboration with the Chair activity and mentoring is encouraged.

Necessary qualifications:

Your profile. Requested background knowledge

• PhD in Applied Mathematics or Machine Learning

• High level/experience in Control and/or Machine Learning

• Proven experience in Partial Differential Equations and Numerical Analysis

• Computational skills to develop computational codes (Python and MATLAB)

• Ability to work independently and collaboratively in an international and interdisciplinary team

• Excellent knowledge of English (oral/written)

Desirable qualifications:

APPLICATION PROCEDURE

Application deadline

Interested candidates are invited to submit their applications via email to dcn-jobs[at]fau.de by Wed. January 15, 2025.

Applicants should provide the following information:

a) Cover Letter:

• Brief description of the topic and results of your PhD thesis.

• Brief description of your previous postdoctoral activities (if applicable).

• Explanation of how your expertise relates to the research topics of the FAU DCN-AvH Chair.

• Description of your expectations from the postdoctoral position in our research group.

b) Curriculum Vitae: Including a list of publications and preprints.

c) Reference Information: List of 2-3 professors (with contact information) who can provide a reference letter. Explain your connection to them. No recommendation letters are required at this stage.

d) Tentative Research Proposal: One-page proposal aligned with the ERC CoDeFeL project research scope

Please send a single PDF file (titled FAU_ERCPostdoc_2025_candidateNameLastname.pdf) with the required information.

Subject of Email: FAU ERC CoDeFeL Postdoc 2025

Applications will be reviewed on a rolling basis, and shortlisted candidates will be invited for an interview, either in person or online.

Institutional Values

FAU Erlangen-Nürnberg is committed to international standards, transparent performance agreements, equal opportunity, inclusivity, support for under-represented groups, an inclusive culture, and diversity. The university also prioritizes the needs of dual career couples and is recognized as a family-friendly employer.

Read more about CoDeFeL project:

https://dcn.nat.fau.eu/codefel/

The CoDeFeL project (ERC-2022-ADG) has received funding from the European Union’s Horizon ERC Grants programme under grant agreement No. 101096251.

The views and opinions expressed are solely those of the author(s) and do not necessarily reflect those of the European Research Council Executive Agency (ERCEA), the European Union or the granting authority who cannot be held responsible for them.

The Department of Chemistry and Pharmacy on behalf of the Professor for Sensory Sciences (AK Gregurec, Biointerfaces Lab) is inviting applications for a PhD position in : Design and Development of Advanced and Miniaturized Electromagnetic Systems for Neuronal Stimulation.

Join Us in Pioneering the Future of Neuromodulation based on Magnetic Nanomaterials!

About Us:

Imagine a completely new technology that can wirelessly stimulate and monitor specific areas of the brain—transforming the possibilities for treatment of neurodegenerative conditions. At the Biointerfaces Lab at Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), our mission is to develop innovative, minimally invasive neuromodulation technologies that bring precision to therapeutic solutions for applications in the human brain.FAU is one of Germany’s leading research universities, offering an inspiring, interdisciplinary environment that fosters creativity, scientific collaboration, and entrepreneurial thinking. Our lab, within the Department of Chemistry and Pharmacy, focuses on designing and applying magnetic nanomaterials for groundbreaking biomedical applications.

Your Role:

We are offering an exciting 3-year PhD position as part of the prestigious ERC-funded BRAINMASTER project. The goal? To develop next-generation devices that control deep brain activity remotely using magnetic nanomaterials.

As a researcher and PhD candidate, you will:

• Design advanced miniaturized electromagnetic circuits and use them to remotely control magnetic nanotransducers alongside MRI techniques.

• Take charge of your own research project, including experiment design, data management, and publication of results.

• Actively take part in project and group meetings and disseminate your research through conference proceedings and presentations, as well as the participation in public events.

• Supervise BSc/MSc students and contribute to the collective success of the lab.

• Collaborate closely with world-class experts at FAU and our partner institutions, like the Microelectronics Lab at the University of Glasgow, UK.

This is your opportunity to work at the forefront of neuromodulation, collaborating with experts in material sciences, neurobiology, and electronic engineering to reshape medical technology.

Necessary qualifications:

What You’ll Bring:

We’re seeking a passionate, highly motivated, self-driven scientist with:

• A Master’s degree in Electronic Engineering, Neuronal Engineering or similar fields.

• Strong theoretical and practical knowledge in the fields of electromagnetism, hands-on experience in electronic circuit development, and simulation skills (COMSOL Multiphysics or similar).

• Enthusiasm for applying magnetic nanomaterials to neurotechnology, neuromodulation, and electrophysiology.

• The ambition to optimize magnetic field parameters and develop MRI pulse sequences for in vitro and in vivo applications, using high field gradients with AC-field based neuromodulation volumes.

• Fluency in English, excellent communication skills and the willingness to fully commit yourself to drive innovation as part of a multidisciplinary and international team

Desirable qualifications:

• Experience in data acquisition, MRI analysis, or image processing is a plus

Befristetes Forschungsvorhaben

What We Offer:

• Direct mentorship from Prof. Danijela Gregurec, head of Biointerfaces Lab and ERC and EIC grant awardee, giving you access to a strong European research network.

• Access to world-class FAU facilities with state-of-the-art technical equipment.

• Clean room training and cutting-edge technology transfer at the University of Glasgow, including hands-on experience in device fabrication and characterization.

• Be part of a diverse, inclusive, and collaborative environment that values equality and innovation.

• A 3-year position funded at 67% of TVL E13, in accordance with the German public sector salary scale.

Desired Start Date: January 1st, 2025

The Chair of Experimental Physics at Friedrich-Alexander-Univeristät Erlangen-Nürnberg (FAU) invites applications for

We are seeking highly motivated PhD candidates to join a rapidly growing research team, led by Christopher Eichler, which conducts state-of-the-art experimental research in quantum computing, quantum information science and quantum optics with superconducting circuits.

As a successful candidate, you will get the unique opportunity to take part in setting up a state-of-the-art quantum-computing laboratory and to perform collaborative research contributing to the grand goal of building universal quantum computers. Based on your interests and skills you will engage with a set of specific research topics chosen from the following areas:

• Design and fabrication of next-generation multi-qubit quantum processors enabling hardware-efficient quantum error correction,

• Exploration of Novel circuit QED components enabling fast and high-fidelity gates and measurements,

• Development, fabrication and characterization of 3D-integrated multi-chip modules,

• Research on elements for quantum communication and modular quantum computing,

• Improvements to qubit coherence enabled by new materials, processes, and chip designs,

• System integration and (real-time) system control enabled by machine learning,

• Tune-up, operation and (algorithmic) benchmarking of quantum computing hardware.

Your research will benefit from a stimulating academic environment offered by FAU and will be embedded in a rapidly evolving quantum ecosystem in Bavaria. You will have opportunities to interact with partners and collaborators in academia and industry as part of national and state-level initiatives such as the Munich Quantum Valley.

Necessary qualifications:

Your profile and qualification:

• You hold a Master’s degree in Physics, Electrical Engineering, Quantum Engineering, Micro- and Nanotechnology, Chemistry, Computer Science, Mechanical Engineering or a related field.

• You have a strong interest in experimental realizations of quantum information processing systems.

• You are dedicated to pursuing a successful career in research, development or education either in academia or in industry.

Desirable qualifications:

Ideally, you have experience in one or more of the following areas: quantum information processing e.g. with superconducting circuits, trapped ions, semiconductor quantum dots or color centers, experimental quantum optics and atomic physics, cavity quantum electrodynamics, micro- and Nano-scale electronic devices and their fabrication (cleanroom, deposition, lithography, etching techniques), mesoscopic solid-state physics, low-temperature physics, operation of dilution refrigerators, microwave electronics, digital electronics, FPGAs, instrumentation, and software development.

Befristetes Forschungsvorhaben

How to apply:

We look forward to receiving your application documents sent to quantum-office@fau.de as a single pdf-file.

Application documents should include

• a motivation letter,

• a curriculum vitae,

• a list of publications,

• certificates and transcripts,

• copies of bachelor and master theses (as available),

• contact information of two references.

Please arrange for two reference letters to be sent directly to Christopher Eichler. Applications will be considered immediately and until positions have been filled.

The Chair of Experimental Physics at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites application for a PostDoctoral position in Experimental Quantum Computing with Superconducting Circuits.

Description of the Position:

We are seeking highly motivated PostDoc researchers to join a rapidly growing research team, led by Christopher Eichler, which conducts state-of-the-art experimental research in quantum computing, quantum information science and quantum optics with superconducting circuits.

As a successful candidate, you will get the unique opportunity to take part in setting up a state-of-the-art quantum-computing laboratory and to perform collaborative research contributing to the grand goal of building universal quantum computers. Based on your interests and skills you will engage with a set of specific research topics chosen from the following areas:

• Design and fabrication of next-generation multi-qubit quantum processors enabling hardware-efficient quantum error correction

• Exploration of Novel circuit QED components enabling fast and high-fidelity gates and measurements

• Development, fabrication and characterization of 3D-integrated multi-chip modules

• Research on elements for quantum communication and modular quantum computing

• Improvements to qubit coherence enabled by new materials, processes, and chip designs

• System integration and (real-time) system control enabled by machine learning

• Tune-up, operation and (algorithmic) benchmarking of quantum computing hardware

Your research will benefit from a stimulating academic environment offered by FAU and will be embedded in a rapidly evolving quantum ecosystem in Bavaria. You will have opportunities to interact with partners and collaborators in academia and industry as part of national and state-level initiatives such as the Munich Quantum Valley.

Necessary qualifications:

Your profile and qualification:

• You have a PhD in Physics, Electrical Engineering, Quantum Engineering, Micro- and Nanotechnology, Chemistry, Computer Science, Mechanical Engineering or a related field

• You have a strong interest in experimental realizations of quantum information processing systems.

• You are dedicated to pursue a successful career in research, development or education either in academia or industry.

Desirable qualifications:

Ideally, you have experience in one or more of the following areas: quantum information processing e.g. with superconducting circuits, trapped ions, semiconductor quantum dots or color centers, experimental quantum optics and atomic physics, cavity quantum electrodynamics, micro- and nano-scale electronic devices and their fabrication (cleanroom, deposition, lithography, etching techniques), mesoscopic solid-state physics, low-temperature physics, operation of dilution refrigerators, microwave electronics, digital electronics, FPGAs, instrumentation, and software development.

Befristetes Forschungsvorhaben

How to apply:

We look forward to receiving your application documents sent to quantum-office@fau.de as a single pdf-file. Application documents should include

• a motivation letter,

• a curriculum vitae,

• a list of publications,

-certificates and transcripts,

• copies of bachelor and master theses (as available) and doctoral certificate,

• contact information of two references.

Please arrange for two reference letters to be sent directly to Christopher Eichler.Applications will be considered immediately and until positions have been filled.

Friedrich-Alexander-Universität (FAU) is a full spectrum university and is among the top universities in international and national rankings. The Chair of Food Chemistry, in which the project will be allocated, is part of the Department of Pharmacy and Chemistry and works closely together with the research groups within the Department.

The project will focus on the analysis of the HLA-II presented peptides on antigen presenting cells after the exposure to different food allergens. Food processing effects on the immunopeptidome and the functional consequences for allergy or tolerance development are the main focus of this project. Within the project, food protein isolation, protein analysis, and cell culture experiments will be performed. A central part is the HLA-II immunopeptidome analysis via LC-MS/MS. We work together with the University hospital Erlangen and the Eberhard Karls Universität Tübingen.

Necessary qualifications:

•Experience with human primary immune cells

•Experience with multicolor flow cytometry

•Experience with the analysis of large datasets

Desirable qualifications:

•Hands-on experience with high performance liquid chromatography

•Hands-on experience with the analysis of peptides using LC-MS/MS

•Experience with the isolation of proteins from complex matrices (e.g. food)

Befristetes Forschungsvorhaben

The project will be supervised by Dr. Hannah Zenker.Applicants may send their application including the CV + list of publications, university degree, PhD certificate, and a letter of application to hannah.zenker@fau.de. For any questions related to the application please use the same e-mail address. We promote diversity and welcome applications from talented postdocs regardless of gender, nationality, ethnicity, sexual identity, or physical abilities.

Das Institut für Geographie in Tennenlohe sucht eine Studentische Hilfskraft für die IT/CIP-Betreuung in der Geographie (m/w/d).

• Dich mit der Hardware und Software von Computern und/oder Druckern auskennen
• Um die Ecke und mitdenken können sowie Interesse daran haben, Neues zu lernen
• Selbstständig arbeiten und dich in knifflige technische Dinge engagiert „reinfuchsen“ können
• zeitlich und fachlich zuverlässig sein

Necessary qualifications:

Sprachkenntnisse: Deutsch - fließend (min. C1-Niveau); Englisch - sehr gut (min. B2-Niveau)

Desirable qualifications:

• Studium Geographie oder verwandter Studiengänge (GZN) im Bachelor oder Master an der FAU
• Bereits selbst Computer und Drucker aufgesetzt / installiert / angeschlossen
• Erfahrung im Bereich Netzwerkadministration
• Erfahrung in der Administration von Windows- und Linux-Betriebssystemen (=keine Angst vor der Kommandozeile und Google)
• Erfahrung im Umgang mit Videokonferenzen (Zoom & Co.)

WIR bieten dir

• einen langfristigen spannenden Hiwi-Job
• eine umfassende Einarbeitung in das Aufgabengebiet
• abwechslungsreiche Aufgaben im EDV-Bereich und CIP-Pool der Geographie
• eigenes Büro mit PC-Arbeitsplatz und Dienst-Laptop

Department of Data Science

Sie sind an der Schnittstelle zwischen dem Bereich 'Lehre und Studium' der Lehreinheit Mathematik & Data Science, der Geschäftsstelle Data Science und dem Studiengangsmanagement der Data Science-Studiengänge (Bachelor und Master) tätig, unter anderem mit folgenden Aufgaben:

• Studiengangskoordination Data Science (u.a. Weiterentwicklung der Studiengangsstrukturen und Prüfungsordnungen, Schnittstelle im Zulassungsprozess, Qualitätsmanagement, Vorlesungs- und Raumplanung für Lehrveranstaltungen in Zusammenarbeit mit der Technischen Fakultät, CAMPO Studiengangskoordination Data Science, Unterstützung und Abstimmung mit Studiengangsverantwortlichen und der Studienfachberatung)
• Mitwirkung bei der Umsetzung des neuen Raum- und Flächennutzungskonzepts, in Abstimmung mit der Geschäftsstelle und den weiteren Departments der Hightech-Agenda Bayern
• Öffentlichkeitsarbeit (u.a. für die Data Science Studiengänge), in Zusammenarbeit mit der Studienfachberatung Data Science und dem Bereich 'Lehre und Studium'
• In geringem Umfang Mitarbeit und Einarbeitung in die Aufgaben des Bereichs 'Lehre und Studium', z.B. Betreuung der Webseiten der Lehreinheit
• Lehre in der Lehreinheit Mathematik & Data Science, insbesondere in den Data Science Studiengängen, im Umfang von 5 SWS
• Forschung an der Schnittstelle zwischen Mathematik und Data Science

Necessary qualifications:

• Sie haben ein Hochschulstudium mit überdurchschnittlichem Erfolg und eine Promotion in Mathematik, Informatik oder Data Science absolviert.
• Sie forschen aktiv und erfolgreich in einem Gebiet an der Schnittstelle zwischen Mathematik und Data Science.
• Sie haben bereits Erfahrung in der Lehre, idealerweise mit großen Lehrveranstaltungen und sind bereit und motiviert, Lehrveranstaltungen in der Lehreinheit Mathematik und Data Science in deutscher und englischer Sprache zu halten.
• Sie haben Erfahrung in Management oder Verwaltung, bevorzugt an einer Hochschule oder wissenschaftlichen Einrichtung.
• Sie verfügen bereits über fundierte Kenntnisse universitärer Strukturen und Prozesse oder sind bereit, sich in diese in kurzer Zeit einzufinden.
• Sie arbeiten selbständig mit großer Eigeninitiative, zuverlässig und strukturiert.
• Sie sind teamfähig und bereit, mittelfristig auch Führungsaufgaben zu übernehmen.

Die Stelle wird im Beamtenverhältnis auf Zeit (Besoldungsstufe A13 a.Z.) für die Dauer von 3 Jahren besetzt. Bei entsprechendem Erfolg ist vorgesehen, dass der/die Stelleninhaber/in im Anschluss die Nachfolge des Leiters des Bereichs 'Lehre und Studium' der Lehreinheit Mathematik & Data Science übernimmt. Diese wird im Beamtenverhältnis auf Lebenszeit (Besoldungsstufe A13) oder in einem unbefristeten privatrechtlichen Arbeitsverhältnis (Entgeltstufe E13) besetzt.

Ihre Bewerbung senden Sie bitte mit den üblichen Unterlagen (Anschreiben, Lebenslauf, Publikationsverzeichnis, Forschungs- und Lehrprofil, Zeugnisse) in einer PDF-Datei per E-Mail an den Geschäftsführer des Department of Data Science jens.habermann@fau.de .