[Stellenangebote] Research Associate for the Project “AutoMD-AI: Surrogates and Auto-Tuning Models for Molecular-Continuum Flow Simulations”, Uni Hamburg

Mi Sep 25 16:54:48 CEST 2024

Liebes Team,

ich bitte um Kenntnisnahme.

Vielen Dank im Voraus.

Mit freundlichen Grüßen

Sera Renée Zentiks

Freie Universität Berlin

FB Mathematik/Informatik

- dezentrale Frauen- und Gleichstellungsbeauftragte -

Arnimallee 14

14195 Berlin

+4930/838-75453

Von: Frauen-inform <frauen-inform-bounces at informatik.uni-hamburg.de> Im Auftrag von Scharfenberg, Tim via Frauen-inform
Gesendet: Donnerstag, 19. September 2024 15:56
An: frauen-inform at informatik.uni-hamburg.de; frauen-inform-bounces at informatik.uni-hamburg.de
Cc: Neumann, Philipp Rainer <philipp.neumann at uni-hamburg.de>; Scharfenberg, Tim <tim.scharfenberg at uni-hamburg.de>
Betreff: [Frauen-inform] Stellenangebot der Universität Hamburg/ Fachbereich Informatik/ Fachgruppe High Performance Computing & Data Science

Liebe Interessierte, 

anliegend senden wir Ihnen ein Stellenangebot der Universität Hamburg aus dem Fachbereich Informatik, Fachgruppe High Performance Computing & Data Science bei Prof. Philipp Neumann, mit der Bitte um Beachtung.

Link <https://www.uni-hamburg.de/stellenangebote/ausschreibung.html?jobID=02cce8e60c5bf391107240b0593b88a08cd2ce3b>  zur Ausschreibung

Research Associate for the Project “AutoMD-AI: Surrogates and Auto-Tuning Models for Molecular-Continuum Flow Simulations” § 28 Subsection 3 HmbHG

InstitutionFaculty of Mathematics, Informatics and Natural Sciences, Department of Informatics, Computer Science, High Performance Computing & Data Science (HIDA)

Salary level <https://oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l-2023&matrix=1> EGR. 13 TV-L

Start dateas soon as possible, fixed until 30.09.2027 (This is a fixed-term contract in accordance with Section 2 of the academic fixed-term labor contract act [Wissenschaftszeitvertragsgesetz, WissZeitVG]).

Application deadline10.10.2024

Scope of workfull-time position suitable for part-time

Your responsibilities

Duties include academic services in the project named above. Research associates may also pursue independent research and further academic qualifications. They may also pursue doctoral studies outside of working duties.

The project strives to advance simulation technology by machine learning methods. The research associate will particularly contribute to the following tasks:

*	development of robust and rapid switching approaches between molecular simulation and data-driven surrogates in coupled molecular-continuum simulations
*	development of novel generative machine learning-assisted methods to reduce equilibration efforts in molecular and molecular-continuum simulations
*	publication and reporting of project results, e.g. in peer-reviewed international journals
*	presentation of project results at scientific conferences and workshops
*	participation in project meetings and regular telephone conferences

All developments are to be integrated into the molecular dynamics software ls1 mardyn/AutoPas and the macro-micro-coupling tool (MaMiCo). Both packages are open-source and available on github.

Your profile

A university degree in a relevant field.

This comprises fields such as computer science, data science, applied mathematics or comparable subjects.

Expected skills:

*	solid object-oriented programming skills, preferably in C++
*	solid knowledge of machine learning methods
*	knowledge of scientific computing, in particular particle simulations and parallel computing (OpenMP, MPI)
*	proficiency in written and spoken English
*	interest in interdisciplinary collaborations and teamwork, in particular with project partners from the Technical University of Munich
*	communication skills towards project partners and associated parties from applied mathematics, computer science and engineering
*	desirable: proficiency in written and spoken German

We offer

*	Reliable remuneration based on wage agreements
*	Continuing education opportunities
*	University pensions
*	Attractive location
*	Flexible working hours
*	Work-life balance opportunities
*	Health management, EGYM Wellpass
*	Educational leave
*	30 days of vacation per annum

You will become part of a highly interdisciplinary team on the edge of high performance computing and data science, with a wide range of scientific exchange opportunities.

Universität Hamburg—University of Excellence is one of the strongest research educational institutions in Germany. Our work in research, teaching, educational and knowledge exchange activities is fostering the next generation of responsible global citizens ready to tackle the global challenges facing us. Our guiding principle “Innovating and Cooperating for a Sustainable Future” drives collaboration with academic and nonacademic partner institutions in the Hamburg Metropolitan Region and around the world. We would like to invite you to be part of our community to work with us in creating sustainable and digital change for a dynamic and pluralist society.

The Free and Hanseatic City of Hamburg promotes equal opportunity. As women are currently underrepresented in this job category at University of Hamburg according to the evaluation , HambGleiG), we encourage women to apply for this position. Equally qualified and suitable female applicants will receive preference.

Severely disabled and disabled applicants with the same status will receive preference over equally qualified non-disabled applicants.

Instructions for applying

Contact

Prof. Dr. Philipp Neumann

 <mailto:philipp.neumann at uni-hamburg.de> philipp.neumann at uni-hamburg.de

 <tel:494089982022> +49 40 8998-2022

Reference number

297

Location

Notkestraße 85
22607 Hamburg
 <https://maps.google.de/maps/place/Notkestra%C3%9Fe+85,+22607+Hamburg> Zu Google Maps

Application deadline

10.10.2024

Use only the online application form to submit your application with the following documents:

*	cover letter
*	CV
*	copies of degree certificate(s)

If you experience technical problems, send an email to  <mailto:bewerbungen at uni-hamburg.de> bewerbungen at uni-hamburg.de.

More information on  <https://www.uni-hamburg.de/en/stellenangebote/datenschutz.html> data protection in selection procedures.

Tim Scharfenberg

Universität Hamburg 

MIN/Fachbereich Informatik / Department of Informatics

Fachbereichsmanagement

Vogt-Kölln-Str. 30

22527 Hamburg (Germany)

T +49 (40) 42883-2203
tim.scharfenberg at uni-hamburg.de <mailto:alexandra.dannenberg at uni-hamburg.de> 

www.inf.uni-hamburg.de <http://www.inf.uni-hamburg.de> 