Research Assistant - Master's student for the project CauseFinder

6 Mar 2025
Job Information

Organisation/Company

Bucharest Universty of Economic Studies

Research Field

Economics

Researcher Profile

First Stage Researcher (R1)

Positions

Master Positions

Country

Romania

Application Deadline

13 Mar 2025 - 16:00 (Europe/Bucharest)

Type of Contract

Temporary

Job Status

Part-time

Hours Per Week

10

Offer Starting Date

1 Apr 2025

Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

The Bucharest University of Economic Studies has opened 1 Research Assistant - Master's student positions.

Part-time 42 hours/month distributed unequally, gross hourly salary 65 lei, fixed period of 12 months with evaluation and possibility of extension until June 30, 2026.

The project is entitled “CauseFinder: Causality in the Era of Big Data and AI and its applications to innovation management”, having Prof. Dr. Dumitru Roman as principal investigator.

The ideal candidate profile consists of advanced knowledge in statistical and econometric modeling, creativity, willingness to learn, scientific thinking, communication and team skills, with a master's degree in economics, computer science, statistics or similar, currently enrolled in a master's program.

As a member of the team, you will deal with challenging questions related to artificial intelligence, in particular knowledge graph theory, causal modeling, probabilistic reasoning and anomaly detection. As part of your mission, you will have the opportunity to present your results at international conferences. Our team offers flexible working hours and intensive cooperation in a dedicated team.

The application deadline is 14.03.2025. If you have any questions, please contact lect. univ. dr. Doinea – Zurini Mădălina. You can find more details below, as well as a short presentation of the project.

The next wave of Big Data and Artificial Intelligence (AI) will be centered on extracting deeper structure from observed systems. Built on the rapid development of existing Data and AI technologies, topics such as Multilevel Evolving Knowledge Graphs, Causal Reasoning, Explanation Based Modeling will result in much more efficient solutions than possible today.

The project aims at groundbreaking results in theory, methodology and algorithms, especially in the fields of scalable multiresolution causality modeling, scalable probabilistic reasoning, evolving knowledge graph construction from diverse data sources and new insights into innovation ecosystem lifecycle management.

Methodologically, the starting points are the state-of-the-art Big Data and AI approaches and tools. The project targets scenarios where we monitor multiple complementary global near real-time data streams, interconnect them into an evolving probabilistic causal knowledge graph, prepare an operational algorithmic platform, answer and explain complex questions about the known and possibly unknown phenomena, address ethical and inequality protective issues, and apply the developed methods to the domain of the innovation ecosystem management. The use case proposed to validate the expected results is in the field of modeling of innovation lifecycle. Data streams from a variety of sources will be used as a baseline, covering different aspects of the global innovation dynamics in near real-time. Specifically, we will focus on the field of AI across many stages of its ecosystem. Sample questions we aim to answer in this context include: causal impact of research policies on the innovation ecosystem lifecycle, answering ‘what-if’ questions, predicting trends and disruptions along the innovation ecosystem, predicting the impact of science on the job market.

Where to apply

Website

https://resurseumane.ase.ro/concursuri-proiecte-fonduri-europene/

Requirements

Research Field

Economics

Education Level

Bachelor Degree or equivalent

Skills/Qualifications

• area of studies: economic science, particularly in the fields of cybernetics, statistics, and economic informatics

Specific Requirements

• ability to fulfill the requirements outlined in the funding application and job description.
• strong capacity for analysis and synthesis. 
• excellent communication and interpersonal skills
• very good negotiation skills, as well as diplomacy and tolerance
•  proficiency in negotiation techniques and approaches. 
• strong decision-making abilities and willingness to assume responsibility. 
• live decision-making skills
• familiarity with techniques and methods for comparative analysis.

Languages

ENGLISH

Level

Excellent

Research Field

Economics

Additional Information
Benefits

Work in a dynamic group. 

Eligibility criteria

Good command of English. Knowledge in project field.

Selection process

Please see https://resurseumane.ase.ro/concursuri-proiecte-fonduri-europene/

Website for additional job details

https://resurseumane.ase.ro/concursuri-proiecte-fonduri-europene/

Work Location(s)

Number of offers available

1

Company/Institute

Bucharest University of Economic Studies

Country

Romania

State/Province

Bucharest

City

Bucharest

Postal Code

010374

Street

Piata Romana no 6

Geofield

Contact

City

Bucharest

Website

http://www.ase.ro

Street

Piata Romana nr.6 sect.1

E-Mail

madalina.zurini@csie.ase.ro

STATUS: EXPIRED

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