EconJobMarket®

The Department of Quantitative Finance (chaired by Prof. Dr. Eva Lütkebohmert-Holtz) at the Albert-Ludwigs-Universität Freiburg invites applications for a

Research Assistant Position (Post-doctoral or PhD)

in the area of Financial Economics or Mathematical Finance.

The appointment (50% - 100 % TV-L E13, Baden-Württemberg scale) will be made starting September 1st, 2024, or later for 1 year and may be prolongable to at most 6 years.

Applicants should have completed an above-average degree in economics, mathematics, or statistics. Experience in data work and implementation in the software R, MATLAB or Python is highly appreciated.

The position will be embedded into the research group of Prof. Dr. Eva Lütkebohmert-Holtz with a broad range of research topics related to credit risk, option pricing and hedging, risk and portfolio management and the impact of climate risk on financial markets. The position has a teaching duty of 2 to 4 contact hours per week and candidates are expected to participate in the teaching program of the department.

Good English language skills are indispensable. Knowledge of German is not required but advantageous.

The University of Freiburg is an equal opportunity employer. Applications including a letter of motivation, CV with education details, list of publications, documentation of teaching experience and relevant certificates are welcome as early as possible. The review process will start immediately and ends on October 31st, 2024, at the latest.

Post-doctoral candidates should include two letters of reference sent by the referees directly to eva.luetkebohmert@finance.uni-freiburg.de.

Please send your application to:

Albert-Ludwigs-Universität Freiburg

Institute for Economic Research

Department of Quantitative Finance

Prof. Dr. Eva Lütkebohmert-Holtz

Rempartstr. 16

79098 Freiburg im Breisgau

or electronically to eva.luetkebohmert@finance.uni-freiburg.de.

Further information about the Department of Quantitative Finance can be found at

https://www.finance.uni-freiburg.de/

To apply, send a message to eva.luetkebohmert@finance.uni-freiburg.de. (See posting for details.)

The St. Louis Fed hires several Research Associates each year. Start dates for this search are in the Spring or Summer of 2025.

This is an excellent opportunity to work with, learn, and engage with our reputable economist staff, visiting fellows and scholars. Former St. Louis RAs have continued their careers in other Bank divisions, in PhD programs, and in the private sector. More Information can be found in the RAjobs link below under the success stories tab.

Visit https://research.stlouisfed.org/RAjobs/ for a detailed overview of the RA position.

What are the day-to-day activities?

• Perform statistical, econometric, computational and analytical research that economists can use for publication in academic journals.
• Utilize Excel and statistical packages such as Stata, R, Matlab, Julia, Python, and SAS.
• Collect, organize and interpret economic and financial data.
• Review academic journals, market sources and government reports.
• Write short articles or assist economists in developing short articles and presentations on current economic and financial conditions and policy issues.
• Attend to additional assignments, including gathering and organizing survey data and anecdotal information and summarizing economic data for the Beige Book.

Qualifications

• A GPA of 3.5 or above
• Bachelor’s degree in economics, econometrics, or quantitative economics
• Strong background in mathematics and statistics, including coursework in Calculus II, Econometrics, Linear Algebra, and Differential equations
• Previous economic research experience, such as undergraduate research assistant, research-related internship or independent research project.

How to Apply

Interested applicants must submit the documents requested below:

NOTE: Applications will not be considered without all of these materials.

• Cover letter
• CV/Resume
• Copy of unofficial transcripts from all colleges and universities attended
• Technical writing sample
• Completed applicant summary file using the following file: https://research.stlouisfed.org/jobopps/RA_Applicant_Summary_File.docx

For questions or concerns, contact: ra.recruiting@stls.frb.org

Benefits

Bring your passion and expertise, and we'll provide the opportunities that will challenge you and propel your growth—along with a wide range of benefits and perks that support your health, wealth, and life.

In addition to great compensation package, we offer a comprehensive benefits package that includes tuition assistance, generous paid time off, top-notch health care benefits, child and family care leave, professional development opportunities, a 401(k) match, pension, and more. All brought together in a flexible work environment where you can truly find balance.

At the Federal Reserve Bank of St. Louis, we believe the Federal Reserve most effectively serves the American public by building a more diverse and inclusive economy. Our commitment to diversity and inclusion, at all levels of the organization, has been one of our core values for many years and remains strong as we continue enhancing our efforts. Learn more about the Bank's culture.

The Federal Reserve Bank of St Louis is an Equal Opportunity Employer.

The Singapore University of Social Sciences (SUSS) seeks candidates for a renewable contract appointment as a Research Fellow / Research Associate / Research Assistant. (One RF position and One RA position is available, and additional short-term contract positions are also available on request)

Project Summary

The Research Fellow / Associate / Assistant will play a key role in designing, leading, and conducting a Programme Evaluation study of ComLink+ Progress Packages, a large-scale Government funded social programme that aims to help lower-income families in Singapore achieve stability, self-reliance, and social mobility. The Programme provides Family Coaches to help families co-develop personalised action plans, and conditional financial transfers when families take steps to improve children’s education, employment, clear debts, and save for home ownership.

The study will use administrative data and a longitudinal panel survey to:

· Assess the effectiveness of the Programme in supporting families to improve short-term outcomes relating to education, employment, and household finances;

· Assess the potential impact of the Programme in supporting families to set goals and build capabilities towards long-term outcomes of stability, self-reliance, and social mobility;

· Assess other impacts of the Programme on families' financial and consumption behaviours, social and family relations, and mental well-being.

The study will start immediately and is projected to end in June 2028, with a possible one-year extension.

The Research Fellow / Associate / Assistant will work with a small team of economists consisting of the Principal Investigator, supported by consultants. A research associate/assistant will support the team. The Research Fellow / Associate / Assistant will interact with an NUS research team working with qualitative methods, and partners including the Government agency and third party survey vendors.

The position(s) are funded for up to 5 years. A candidate should preferably commit in principle to the entire duration of the project, or at least for the first two years. We will consider candidates who request a shorter duration position, and candidates who request fractional appointments (e.g. half-time), on a case by case basis.

Job Scope

Working with the Principal Investigator and consultant economists, the Research Fellow will (the Research Associate / Assistant will perform a similar job scope, but at a more junior level and supporting the PI and Research Fellow):

1. Finalise the overall quantitative Programme Evaluation study research design.

2. Develop the quantitative survey instruments, including an interviewer-administered annual survey, and a self-administered high frequency data collection platform.

3. Develop, code, and implement the empirical research strategy to identify Programme causal effects using administrative data.

4. Analyse quantitative data and draft study reports for internal and external stakeholders.

5. Liaise and monitor the survey fieldwork vendor / fieldwork research team.

6. Assist in management of overall study administration, including IRB, budget management, and reporting to internal and external stakeholders.

7. Supervise and delegate tasks to the research associate/assistant and other team members to help achieve these objectives.

Qualifications / Experience Required:

1. For the Research Fellow, a Ph.D. in Economics, Public Policy, or a related quantitative social science discipline, or must be on track to be awarded the Ph.D. without further full-time study, within one year of the start of the appointment. Candidates without a Ph.D. but with demonstrated equivalent research abilities may apply, and will be considered for an appropriate position based on their research expertise. Research Associate / Assistants should have a Bachelor's and/or Master's degree in the same fields as the Research Fellow.

2. Demonstrated knowledge and application of contemporary applied microeconomics research methods, including randomized controlled trials, and quasi-experimental causal identification methods. For the Research Fellow, publications and/or working papers showing these skills will be an advantage. Research Associate / Assistants may provide coursework evidence satisfying this requirement.

3. Demonstrated ability to code and analyse large-scale data with at least one common econometrics/statistics software system, such as STATA, or R.

4. Singapore Citizenship or Permanent Residency is strongly preferred, as the position involves restricted access Singapore Government data. Non-Singapore resident candidates will be considered, but confirming employment eligibility may take more time.

Compensation and Benefits

The salary is based on the qualifications and experience of the candidate, and is benchmarked to equivalent research fellow / entry-level faculty positions in Singapore, and to equivalent research associate / assistant positions in Singapore.

Flexible work arrangements are offered. The position is based at the Singapore University of Social Sciences, Singapore. The Research Fellow is required to work from the office / data access site in Singapore during office hours when necessary due to data access restrictions, but may otherwise work flexibly.

The Research Fellow will have coauthorship rights on any resulting publications in accordance with their contributions, as standard practice. Research Associates / Assistants may be offered authorship on a case by case basis.

Applications should be made to:

The Principal Investigator, A/P Walter Theseira (email: waltertheseira@suss.edu.sg), at the SUSS School of Business, Singapore University of Social Sciences, 463 Clementi Road, Singapore. Please include:

1. Brief cover note in your email highlighting any relevant experience, research projects, or research interests.

2. Academic CV

3. One paper (published or unpublished) that is most relevant to the project or demonstrates appropriate quantitative research skills. For research associate / assistants, this may be a course assignment.

4. Link to your job market site, personal academic website, google scholar / ORCID profile, etc, as appropriate. For research associate / assistants, this is not required.

5. Letters of reference are not required now, but will be requested of shortlisted applicants. Generic letters of reference for academic positions are suitable. For research associate / assistants, a generic letter of reference for graduate study will be an advantage, but will not be required.

To apply, send a message to waltertheseira@suss.edu.sg. (See posting for details.)

Professor Giuseppe Berlingieri is searching a highly skilled and motivated full-time (40 hours per week) pre-doctoral research assistant for a period of at least one year (renewable), starting in October 2024. The employment contract will be with Bocconi University located in Milan, Italy. However, the position offers a flexible work arrangement, allowing the employee to work on a partial remote basis as well as the opportunity to work occasionally from ESSEC Business School located in Cergy-Pontoise, France.

The RA will play a key role in supporting Giuseppe Berlingieri, Danial Lashkari, and the research team by contributing to various aspects of the project "Merchant-bankers and the Organisation of Long-Distance Trade" (MOLDisTory), which studies the role of merchant-bankers and the interconnection between trade and financial intermediation in early modern Europe (XVI-XVII century), using unique primary data from the archives of the Bank of San Giorgio.

The RA will be expected to be responsible for a wide variety of tasks including:

• Collection, cleaning and preparation of unstructured data.
• Data analysis: preparation of charts / graphs / tables and the use of econometric analysis for the development of descriptive statistics and the estimation of economic models.
• Exploring machine learning techniques for handwritten text recognition.
• Performing literature reviews.
• Assisting in the writing of reports and academic papers.
• Supporting the MOLDisTory research team on the various tasks of the project.

Key requirements:

• MSc in Economics / Finance / Management (or close to completion).
• Strong quantitative background.
• Proficiency with statistical software and computer programming (STATA, R, Python).
• Proficiency in English, knowledge of Italian is desirable but not mandatory.
• Soft skills: diligence, reliability, independence, attention to detail.

Please submit your CV, latest academic transcript, an example of a code package in Stata or R, and an example of a research paper (e.g., master thesis or research proposal) if available.

Please apply online before the 22nd of July at the following link: https://jobmarket.unibocconi.eu/?id=641. Note the deadline at 17:00 CET time.

Applications by email will not be considered.

To apply, visit https://jobmarket.unibocconi.eu/?id=641. (See posting for details.)

Professor Diego Puga is seeking one or more full-time predoctoral fellows at CEMFI to assist in the research project "City buzz: Quantity, quality, and variety implications of the urban environment", funded by a European Research Council Advanced Grant. This position will be for one year starting in September 2024 or as soon as possible thereafter. However, candidates seeking a longer appointment can mention this on their statement of purpose. The research project uses anonymized cellphone, credit card and matched employer-employee data to understand the changing landscape of cities. These are cities where face-to-face interactions happen less around office water coolers and more on the streets; where individuals not only produce differently by location but also have heterogeneous consumption; and where, beyond the adoption of working from home, the transformation of work involves a reorganization of firms' establishments and hierarchies across locations. More information on Diego Puga's research can be found at https://diegopuga.org/

Predoctoral Fellow’s Roles and Responsibilities:

• Assisting in the collection and preparation of large and complex datasets.
• Conducting basic statistic and econometric analysis.
• Helping with code optimization and replicability.
• Preparing data visualizations
• Conducting literature reviews.
• Assisting the principal investigator in other aspects of the project.

Desired Qualifications and Experience:

• Bachelor’s or master’s degree in economics, social sciences, mathematics, statistics, computer science, physics, or another quantitative field.
• Excellent coding skills, good knowledge of Python is required, knowledge of Stata and prior experience with Spatial Data Analysis is strongly valued.
• Meticulous, organized, and detailed oriented.
• Proficient in English. Knowledge of Spanish is not required.
• Strong interest in academic research
• The position is an especially good match for candidates contemplating applying to a PhD program in economics or another quantitative field.
• Able to legally work in the European Union

Job conditions:

• Full-time position.
• The job is based in CEMFI in Madrid.
• Duration: One year, starting September 2024.

CEMFI is one of the leading Graduate Schools in Europe. We offer highly selective Master and PhD programs in Economics and Finance. All our research and teaching activities are done in English. Our faculty conduct research subject to the highest international standards.

CEMFI recognizes the positive value of diversity and particularly encourages applications from women and candidates with underrepresented demographics regarding disability, gender identity, race, religion, sexual orientation, socioeconomic background, or other characteristics.

Position
Pre-Doctoral Student / Research Engineer

General information:

Institution: Panthéon-Sorbonne University
Supervisor: Clément Gorin, clement.gorin@univ-paris1.fr
Location: Maison des Sciences Economiques, 112 Boulevard de l’Hôpital, 75013 Paris, France
Appointment type: Fixed-term, Full-time, On-site
Appointment duration: 12 months (renewable)
Start date: September 2024 (flexible)
Application deadline: June 30th

About myself:

I am an Associate Professor of Economics at Panthéon-Sorbonne University, Paris. My research is positioned at the intersection of spatial economics, economic history, and deep learning. Broadly speaking, I am interested in understanding how the movement of people and ideas shapes the spatial distribution of economic activity and the development of urban areas. I am currently looking for a highly motivated pre-doctoral student or research engineer to work with me on existing research projects that employ deep learning models to analyse image or language data at scale. For additional information about my research projects, see my research page.

About the position:

The selected candidate will primarily work on ongoing projects involving the modelling of image data, such as historical maps, documents, and paintings. Responsibilities may evolve based on the projects and the candidate's skills and interests. This position offers an exciting opportunity to contribute to applied research in applied economics and deep learning. It is a research-intensive role, requiring the candidate to work independently and propose innovative solutions to complex problems. Ideally, the candidate should have a strong interest in academic research, as this position provides an excellent pathway to PhD placements at top institutions.

Job description:

• Collaborate and communicate effectively with the research team.
• Read, assimilate, and summarise relevant and recent scientific literature.
• Develop and maintain pipelines to automate data sourcing and processing.
• Implement, optimise, and deploy deep learning models at scale.
• Evaluate and enhance implementations through rigorous testing and debugging.
• Eventually, supervise and coordinate undergraduate research assistants.
• Participate in writing papers and reports.

Ideal candidate:

• Master's degree in Economics, Statistics, Computer Science, Engineering or related fields.
• Prior experience in academic or applied research.
• Strong analytical and problem-solving skills.
• Self-driven and capable of working independently.
• Proficiency in programming languages such as Python or other object-oriented languages.
• Expertise in deep learning frameworks (e.g. TensorFlow, PyTorch) and image processing.
• Ability to write clean, readable, reproducible, and well-documented code.
• Experience with version control systems (i.e. Git).
• Good communication skills, fluency in English.

Remuneration:

The remuneration is aligned with the salary scale for Ingénieur d'Etudes (IE) at the French National Centre for Scientific Research (CNRS).

How to Apply:

Please submit your curriculum vitae and a cover letter to the Econ Job Market applicaiton platform and answer the questions detailing your relevant coursework, research experience, and significant projects. If you have any questions, feel free to reach out.