- JOB
- Netherlands
- EXPIRES SOON
Job Information
- Organisation/Company
- University of Twente
- Department
- Department of High-tech Business and Entrepreneurship (HBE)
- Research Field
- Computer scienceEconomics
- Researcher Profile
- First Stage Researcher (R1)
- Positions
- PhD Positions
- Country
- Netherlands
- Application Deadline
- Type of Contract
- Temporary
- Job Status
- Full-time
- Hours Per Week
- 42
- Offer Starting Date
- Is the job funded through the EU Research Framework Programme?
- Horizon Europe - MSCA
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
For our European MSCA Industrial Doctoral Network on Digital Finance (DIGITAL), we are recruiting 17 Ph.D. researchers to be trained in the area of digital finance, with a focus on its applications in industry.
DIGITAL is an internationally recognized network consisting of eight leading European universities (Vienna University of Economics and Business, University of Twente, Bucharest University of Economic Studies, Babes-Bolyai University, Bern Business School, Kaunas University of Technology, University of Naples and Poznań University of Economics and Business) that all rank among the top 200 universities globally in their fields, three major international corporations (Swedbank, Raiffeisen Bank International AG, Deutsche Bank) with a significant R&D presence across Europe, two specialized firms (Cardo AI and Royalton Partners) among the most innovative ones in their field, three large and internationally renowned research centres (ARC Greece, EIT Digital and Fraunhofer Institute), the Bank for International Settlements (BIS) and the European Central Bank (ECB), as one of the seven principal decision-making bodies of the European Union as well as one of the world's most important central banks.
The results of the research carried out within DIGITAL are of substantial interest to three leading European-wide research networks that our members either lead or serve on the management committee for COST Action CA19130 Fintech and AI in Finance (240 researchers across 39 European countries), European Consortium of Mathematics for Industry (200 researchers across Europe) and the European Consortium of Innovative Universities (13 European Universities).
All Ph.D. researchers recruited to this network will join a vibrant and supportive international community of scholars, and will gain extensive hands-on experience during research stays at the industrial partners and research centres, as part of their doctoral training programme.
We are now accepting applications from prospective doctoral researchers. Applications are accepted on a rolling basis, as per each position. The starting date of the Ph.D. positions will be throughout 2024.
The individual project descriptions can be viewed on the title links.
Our doctoral network is centered around 17 research projects organized within five work packages:
- Strengthening European financial service providers through applicable reinforcement learning[This position has been filled]
- Host: University of Twente, Drienerlolaan 5, 7522 NB Enschede, The Netherlands [This position has been filled]
- Modelling green credit scores for a network of retail and business clients
- Host: University of Twente, Drienerlolaan 5, 7522 NB Enschede, The Netherlands
- Machine Learning For Digital Finance[This position has been filled]
- Host: University of Twente, Drienerlolaan 5, 7522 NB Enschede, The Netherlands
- A recommender system to re-orient investments towards more sustainable technologies [This position has been filled]
- Host: University of Twente, Drienerlolaan 5, 7522 NB Enschede, The Netherlands
- Fraud detection in financial networks[This position has been filled]
- Host: WU Vienna University of Economics and Business, Welthandelspl. 1, 1020 Wien, Austria
- Collaborative learning across data silos[This position has been filled]
- Host: WU Vienna University of Economics and Business, Welthandelspl. 1, 1020 Wien, Austria
- Risk index for cryptos[This position has been re-opened]
- Host: Poznań University of Economics and Business, Al. Niepodległości 10, 61-875 Poznań, Poland
- You can apply for this position on PhD position in Digital Finance, Data Science and AI - Poznań University of Economics and Business
- Detecting anomalies and dependence structures in high dimensional, high-frequency financial data[This position has been filled]
- Host: Bucharest University of Economic Studies, Piața Romană 6, București 010374, Romania
- Audience-dependent explanations[This position has been filled]
- Host: University of Naples Federico II, C.so Umberto I, 40, 80138 Napoli NA, Italy
- Experimenting with Green AI to reduce processing time and contributes to creating a low-carbon economy[This position has been filled]
- Host: University of Naples Federico II, C.so Umberto I, 40, 80138 Napoli NA, Italy
- Applications of Agent-based Models (ABM) to analyse finance growth in a sustainable manner over a long-term period[This position has been filled]
- Host: Kaunas University of Technology, K. Donelaičio g. 73, 44249 Kaunas, Lithuania
- Developing industry-ready automated trading systems to conduct EcoFin analysis using deep learning algorithms [This position has been filled]
- Host: Bucharest University of Economic Studies, Piața Romană 6, București 010374, Romania
- Predicting financial trends using text mining and NLP[This position has been filled]
- Host: Babes-Bolyai University, Strada Mihail Kogălniceanu 1, Cluj-Napoca 400347, Romania
- Challenges and opportunities for the uptaking of technological development by industry[This position has been filled]
- Host: Cardo S.R.L, Italy (CAR), Via San Francesco D`Assisi 15, 20122, Milan, Italy
- Deep generation of financial time series[This position has been filled]
- Host: Cardo S.R.L, Italy (CAR), Via San Francesco D`Assisi 15, 20122, Milan, Italy
- Investigating the utility of classical XAI methods in financial time series[This position has been filled]
- Host: Bern Business School, Brückenstrasse 73, 3005 Bern, Switzerland
- Fair algorithmic design and portfolio optimization under sustainability concerns[This position has been filled]
- Host: Bern Business School, Brückenstrasse 73, 3005 Bern, Switzerland
About the European MSCA Doctoral Network on Digital Finance
Currently, Digital Finance does not exist as a standalone research discipline, despite the EU’s key strategic priorities, the urgent needs of industry, and the identification of many research gaps. DIGITAL will establish Digital Finance as a research field and significantly advance the methodologies and business models for Digital Finance through the use of five interconnected and coherent research objectives and a total of seventeen Doctoral Candidates hired by the beneficiaries, both from academia and industry. The main objectives are:
- Towards a European financial data space. Ensure sufficient data quality to contribute to the EU's efforts of building a single digital market for data.
- Artificial intelligence for financial markets. Address deployment issues of complex artificial intelligence models for real-world financial problems.
- Towards explainable and fair AI-generated decisions. Validate the utility of state-of-the-art explainable artificial intelligence (XAI) algorithms to financial applications and extend existing frameworks.
- Driving digital innovations with Blockchain applications. Design risk management tools concerning the applications of Blockchain technology in Finance.
- Sustainability of Digital Finance. Simulate financial markets and evaluate products with a sustainability component.
European PhD Programme on Digital Finance
PhD students will benefit from 120 ECTS of advanced PhD training courses, of which 30 ECTS are mandatory. More details can be found here: https://wiki.fin-ai.eu/index.php/Digital_Finance_MSCA#Training
Secondments in Industry and European Research Centres
Each Doctoral Candidate will spend at least 18 months at one of our European industrial partners. The details are specific to each research project.
The current industry partners are the European Central Bank, Bank for International Settlements, Swedbank, Deutsche Bank, Raiffeisen Bank International AG, Cardo AI, Royalton Partners, ARC Greece, EIT Digital, and Fraunhofer Institute.
Benefits
Successful applicants will receive an attractive salary following the MSCA regulations for recruited researchers. The indicative gross salary is around €3400 per month (adjustable according to a country correction formula to account for cost-of-living differences between the EU Member States) plus mobility and family allowances, where applicable, and in line with the EC rules for Marie Sklodowska Curie Doctoral Networks 2023.
These allowances are also subject to local taxes, social security deductions etc. Full Ph.D. funding is guaranteed for 36 months, conditional on satisfactory progress, with the possibility of additional funding in certain instances, depending on local and national arrangements. At institutions that customarily charge tuition fees to doctoral students, waivers will be granted for project participants.
Eligibility criteria
Candidates of any nationality are warmly invited to apply for any of our positions, provided that they meet our funder’s mobility rules. These mobility rules stipulate that applicants will be ineligible to take up a position at a university located in a country where they have resided or carried out their main activity (work, studies, etc.) for more than twelve months in the three years immediately before the application deadline.
In determining eligibility, the following periods are not taken into account: a) compulsory national service; b) time spent as part of a procedure for obtaining refugee status under the Geneva Convention; c) short stays such as holidays.
Additional requirements are specific to each Ph.D. position, depending on the host institute and the nature of the research project.
Please note that applicants must not yet possess a doctoral degree in any field.
Application
Applications are made for a specific project and the full application documents are to be sent initially to the central hiring committee via one single pdf and then later to the individual hiring institution. The application deadline is Nov 1, 2023.
Additional information can be acquired via email from Prof. Dr. Joerg Osterrieder (MSCA Doctoral Network coordinator), Prof. Dr. Branka Hadji Misheva, Dr. Marcos R. Machado, Dr. Rubin Haxhiymeri, Dr. Kristina Šutienė, Dr. Audrius Kabasinskas and Dr. Frédérik Sinan Bernard by sending an email to msca-digitalfinance@utwente.nl or from any member of the central recruitment committee (https://wiki.fin-ai.eu/index.php/Digital_Finance_MSCA#MSCA_Central_Recruitment_Committee)
For more details on the MSCA Doctoral Network on Digital Finance, see https://www.digital-finance-msca.com/
Where to apply
- msca-digitalfinance@utwente.nl
- Website
- https://wiki.fin-ai.eu/index.php/Digital_Finance_MSCA
Requirements
- Research Field
- Computer science
- Education Level
- Master Degree or equivalent
- Research Field
- Engineering » Industrial engineering
- Education Level
- Master Degree or equivalent
- Research Field
- Information science
- Education Level
- Master Degree or equivalent
- Research Field
- All
- Education Level
- Master Degree or equivalent
A Master's degree in one of the specified fields or an area related to Digital Finance (Computer Science, Finance, Economics, Mathematics, Business Engineering, ...) is required. For each project, additional specific qualifications may be necessary. Please refer to the individual job postings on the website of each hosting institution for detailed requirements.
- Languages
- ENGLISH
- Level
- Excellent
Work Location(s)
- Number of offers available
- 4
- Company/Institute
- University of Twente
- Country
- Netherlands
- Geofield
- Number of offers available
- 2
- Company/Institute
- WU Vienna University of Economics and Business
- Country
- Austria
- Geofield
- Number of offers available
- 2
- Company/Institute
- Poznań University of Economics and Business
- Country
- Poland
- City
- Poznań
- Postal Code
- 61-875
- Street
- Al. Niepodległości 10,
- Geofield
- Number of offers available
- 2
- Company/Institute
- University of Naples Federico II
- Country
- Italy
- Geofield
- Number of offers available
- 2
- Company/Institute
- Cardo S.R.L
- Country
- Italy
- Geofield
- Number of offers available
- 1
- Company/Institute
- Kaunas University of Technology
- Country
- Lithuania
- Geofield
- Number of offers available
- 1
- Company/Institute
- Bucharest University of Economic Studies
- Country
- Romania
- Geofield
- Number of offers available
- 1
- Company/Institute
- Babeș-Bolyai University
- Country
- Romania
- Geofield
- Number of offers available
- 2
- Company/Institute
- Bern Business School
- Country
- Switzerland
- Geofield
Contact
- City
- Enschede
- Website
- Street
- Drienerlolaan 5
- Postal Code
- 7522 NB
- m.r.machado@utwente.nljoerg.osterrieder@utwente.nlf.s.bernard@utwente.nlmsca-digitalfinance@utwente.nl