University Assistant postdoctoral

Updated: 28 days ago
Job Type: FullTime
Deadline: 05 Jun 2024

18 May 2024
Job Information
Organisation/Company

Universität Wien
Research Field

Economics » Other
Researcher Profile

First Stage Researcher (R1)
Country

Austria
Application Deadline

5 Jun 2024 - 22:00 (UTC)
Type of Contract

Temporary
Job Status

Full-time
Hours Per Week

40
Offer Starting Date

1 Oct 2024
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Job description:


The University of Vienna is a cosmopolitan hub for  more than 10,000 employees, of whom around 7,500 work in research and teaching. They want to do research and teach at a place that suits their ideas and work together towards answering the big questions of the future. You also appreciate the exchange between disciplines, cultures and generations? We are looking for a/an


University assistant Postdoctoral

   in the START research project "Universal structures in Mathematical Finance"

   



Job vacancy starting: 01.10.2024  | Working hours: 40h  | Classification CBA: §48 VwGr. B1. lit. b 

Limited contract until: 31.08.2024

Job ID: 2493


37 Faculty of Business, Economics and Statistics
Startdate: 01.10.2024 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc)
Limited until: 31.08.2026
Reference no.: 2493

Explore and teach at the University of Vienna, where over 7,500 academic minds have found a unique blend of freedom and support. Join us if you're driven by a passion for top-notch international research and scientific excellence. Ready to be part of our team? Welcome aboard!

The University of Vienna, Department of Statistics and Operations Research, invites applications for the position of a Post-Doc (2 years, 40h) at the intersection of Mathematical Finance, Stochastic Analysis and Machine Learning. 

The successful candidate will work in the group of the START research project "Universal structures in Mathematical Finance", led by Prof. Christa Cuchiero. The focus of the project lies on universal structures that pertain literally to both, mathematics and finance. 

The research agenda of the project covers a wide range of challenging topics such as (infinte dimensional) stochastic analysis, affine and polynomial processes, rough paths, signature methods, neural S(P)DEs, McKean-Vlaslov equations, stochastic portolio theory, control theory and contemporary stochastic volatility modeling. The goal is to explore mathematical and financial universality and to provide a unifying stochatstic framework, building on process classs which have, appropriately seen, universal approximation properties, well known also from the theory of  machine learning.


Requirements
Specific Requirements

Your personal sphere of influence:


As a postdoctoral university assistant you will join the research group in the areas of Mathematical Finance, Stochastic Analysis and Machine Learning. 

The working group of Prof. Cuchiero currently consists of 3 predoctoral students and one administrative colleague. The successful candidate will cooperate with the project members and the associated research groups of the institute.

The position is funded by the FWF (Austrian Science Fund) and is based in Vienna. 


Your future tasks:
  • Participation in research projects and publishing of research results in academic articles and presenting them at international conferences 
  • You participate in the supervision of Master and Bachelor students. 
  • You take part in the organization of meetings and conferences. 
  • Participation in teaching is on a voluntary basis.

This is part of your personality:


  • Completed Master in Mathematics, PhD in an area related to the themes of the project
  • Excellent background in stochastic analysis, probability theory, statistics and mathematical finance and an open mind for applications
  • Excellent command of written and spoken English
  • Programming skills (e.g.  Python, R)
  • Ability to work in teams and high social/communicative skills
  • Strong interest in planning, carrying out, and presenting independant research
  • High commitment and initiative

Additional Information
Benefits

What we offer:


Work-life balance: Our employees enjoy flexible, family-friendly working hours, and remote/hybrid work (upon agreement).

Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment.

Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport.

Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge.

Fixed-term contract and fair salary: Renumeration follows a collective university-wide agreement.

Equal opportunities for everyone: We look forward to diverse personalities in the team!


Work Location(s)
Number of offers available
1
Company/Institute
Universität Wien
Country
Austria
City
Wien
Postal Code
1010
Geofield


Where to apply
Website

https://iventajobdata.eu/bestmedia/img/1639870/1603197/cl/799711738953b064737ee…

Contact
City

Wien
Website

http://www.univie.ac.at
Street

Universitätsring 1
Postal Code

1010

STATUS: EXPIRED

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