[Stellenangebote] WG: Stellenausschreibung der Universität Hamburg - Fachbereich Informatik - Projekt DASHH

Mo Sep 6 14:33:55 CEST 2021

Hallo,

ich bitte um Kenntnisnahme.

Vielen Dank im Voraus.

Mit freundlichen Grüßen,

Sera Renée Zentiks

Freie Universität Berlin

FB Mathematik/Informatik

- dezentrale Frauenbeauftragte -

Arnimallee 14

14195 Berlin

+4930/838-75453

SeraRenee.Zentiks at fu-berlin.de

Von: Frauen-inform <frauen-inform-bounces at informatik.uni-hamburg.de> Im Auftrag von Inf, SP-Office
Gesendet: Freitag, 27. August 2021 11:55
An: frauen-inform at informatik.uni-hamburg.de
Cc: Gerkmann, Prof. Dr. Timo Florian <timo.gerkmann at uni-hamburg.de>; Inf, SP-Office <sp-office.inf at uni-hamburg.de>; Scharfenberg, Tim <tim.scharfenberg at uni-hamburg.de>
Betreff: [Frauen-inform] Stellenausschreibung der Universität Hamburg - Fachbereich Informatik - Projekt DASHH
Priorität: Hoch

Liebe Interessierte,

untenstehend und unter dem ersten Link finden Sie eine aktuelle Stellenausschreibung des Arbeitsbereichs Signal Processing aus dem Fachbereich Informatik der Universität Hamburg  mit der Bitte um Beachtung. Es handelt sich um eine Stellenausschreibung im Rahmen des Projektes DASHH, weitere Informationen können Sie dem zweiten Link entnehmen.

https://www.uni-hamburg.de/stellenangebote/ausschreibung.html?jobID=db9833dda9c945f2a1f9faf639da62dd1d074302

https://www.dashh.org/application/phd_topics/prise/index_eng.html

Mit freundlichen Grüßen

Stephanie Schulte Hemming

Arbeitsbereich Signal Processing (SP)

Research Associate for the Project “Phase

Retrieval in Imaging and Speech Enhancement” §

28 Subsection 3 HmbHG

Institution: Faculty of Mathematics, Informatics and Natural Sciences, Department of Informatics

Salary level: EGR. 13 TV-L

Start date: 01.01.2022, fixed until 31.12.2025 (this is a fixed-term contract in accordance with Section 2 of the

academic fixed-term labor contract act [Wissenschaftszeitvertragsgesetz, WissZeitVG])

Application deadline: 2021-09-09

Scope of work: full-time position suitable for part-time

Responsibilities:

Duties include academic services in the project named above. Research associates may also pursue independent research and

further academic qualifications.

Specific Duties:

The project is part of DASHH, which is an interdisciplinary graduate school co-financed by the Helmholtz Association and the partner

institutions. DASHH focuses on Data Science applications in Natural Sciences. For more details see https://www.dashh.org.

Advanced sources such as free-electron lasers produce intense and coherent beams of X-rays that are opening up new possibilities to

image biological materials, such as single molecules, at atomic resolution. Since atomic-resolution lenses do not exist, such methods

usually rely upon retrieving the structural information encoded in the far-field coherent diffraction pattern. This intensity pattern

corresponds to the Fourier magnitude of the object and is thus an incomplete measurement since the spectral phase cannot be measured.

To reconstruct the original structure, the missing phase information needs to be retrieved. A very similar problem of phase retrieval is

encountered in speech source separation and enhancement and has received increasing attention recently.

The goal of this project is to explore common concepts in X-ray imaging and speech enhancement. Recent advances in the application of

machine learning in speech analysis will be transferred and adapted to X-ray imaging, obtaining deeper insights into this challenging

inverse problem and providing new opportunities for high-resolution structure determination of biological systems.

Requirements:

A university degree in a relevant field. Examples are Computer Science, Electrical Engineering, Physics, Mathematics, etc. Very

good knowledge of signal processing and machine learning is required as well as good programming skills in Python. Knowledge of

speech processing and statistics as well as experience with machine learning libraries is helpful. Fluent English, spoken and

written, and good communication skills are mandatory. Knowledge of German is helpful; we expect the willingness to learn German

for non-native German speakers. The candidates should bring a strong interest to work in highly interdisciplinary topics and should

be team-oriented.

We offer

As a University of Excellence, Universität Hamburg is one of the strongest research universities in Germany. As a flagship

university in the greater Hamburg region, it nurtures innovative, cooperative contacts to partners within and outside academia. It

also provides and promotes sustainable education, knowledge, and knowledge exchange locally, nationally, and internationally.

The Free and Hanseatic City of Hamburg promotes equal opportunity. As women are currently underrepresented in this job

category at Universität Hamburg according to the evaluation conducted under the Hamburg act on gender equality

(Hamburgisches Gleichstellungsgesetz, HambGleiG), we encourage women to apply for this position. Equally qualified and

suitable female applicants will receive preference.

Qualified disabled candidates or applicants with equivalent status receive preference in the application process.

Tips on applying

Contact

Prof. Dr.-Ing. Timo Gerkmann

timo.gerkmann at uni-hamburg.de<mailto:timo.gerkmann at uni-hamburg.de>

Location

Vogt-Kölln-Straße 30

22527 Hamburg

Zu Google Maps

Reference number

299

Application deadline

2021-09-09

Applications should include a cover letter, a tabular curriculum vitae, and copies of degree certificate(s) (applications should

include as well transcripts of grades, please send your application in one single PDF document).

Please send applications by email to: Stephanie Schulte Hemming, sp-office.inf at uni-hamburg.de<mailto:sp-office.inf at uni-hamburg.de>

More information on data protection in selection procedure.