PhD Candidate in Economic History

Lund University was founded in 1666 and is consistently ranked among the world's top universities. There are approximately 47,000 students and more than 8,800 employees in Lund, Helsingborg, and Malmö. We unite in our efforts to understand, explain, and improve our world and the conditions of people.

Lund University welcomes applicants with diverse backgrounds and experiences. Gender equality, equal opportunities, and diversity are fundamental principles for all parts of our operations.

The School of Economics and Management at Lund University is an internationally renowned business school that holds triple accreditation. We operate in an international environment and offer sought-after programs at both undergraduate and master's levels. The School of Economics and Management has close collaborations with companies and authorities both nationally and internationally. We care about a good, stimulating work environment and continuously work to develop as an attractive employer.

The Department of Economic History is research-intensive and employs about 100 people: researchers, teachers, technical/administrative staff, and doctoral students.

The department has a comprehensive doctoral education and coordinates three international master's programs. The department has a well-established reputation for its broad research with an emphasis on long-term processes, and with economic theory and quantitative methods as important research tools. Strong research areas include economic growth and structural change, innovation, energy and sustainability, development economics, economic demography, financial history, as well as education and labor markets. More information can be found on the department's website http://www.ekh.lu.se (http://www.ekh.lu.se).

Job Description

The person employed as a doctoral student will primarily engage in their own doctoral education, which is intended to lead to a PhD degree. The work includes participation in research projects as well as successful participation in doctoral education courses. To a limited extent, the employment may include some teaching or other departmental duties at the Department of Economic History. The extent of this service may amount to a maximum of 20 percent of full working time.

The ERC-funded research project ‘RELATIVE HEALTH: Long-Run Inequalities in Health and Survival Between Families and Across Generations’ (PI Ingrid van Dijk) intends to appoint 1-2 doctoral positions. The doctoral student(s) will work on the project in collaboration with other project members, including the project leader and other researchers. The project aims to measure inequalities in health and survival from a family perspective, comparing developments over time and across different contexts. A variety of data sources will be used, including historical and contemporary registry data, survey data, twin registers, and biobanks. We intend to appoint one or more doctoral positions in the project.

Eligibility

Basic eligibility for doctoral education is granted to those who have:

• completed a master's degree, or
• completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits at the master's level, or
• acquired equivalent knowledge in some other way, within or outside the country.

(Higher Education Ordinance Chapter 7, Section 39)

Specific eligibility for each subject area for doctoral education is outlined in the general study plans, see http://www.lusem.lu.se/study/phd (http://www.lusem.lu.se/study/phd).

Other Requirements

Proficiency in English is required for both written and oral communication. Demonstrated quantitative skills are required, and good abilities in data management and statistical programming are considered advantageous.

Assessment Criteria

Appointment will be based primarily on the applicant's ability to benefit from the doctoral education, see the study program for doctoral education in economic history. https://www.lusem.lu.se/study/phd (https://www.lusem.lu.se/study/phd)

The assessment of the ability according to the first paragraph is primarily based on the study results at the undergraduate and master's levels.

The following aspects will be considered:

• Quality and content of the applicant's previous work, such as the master's thesis.
• Ability to actively participate in the department's research environment.
• Ability to conduct independent scientific work.
• Ability to work with advanced quantitative methods.
• Experience working with large individual-level databases. Examples include longitudinal register-based data, historical databases, longitudinal survey data, twin registers, or biobanks.
• Experience in data management, preferably with R.
• Proficiency in written and oral communication.
• Relevant educational background, such as in sociology, demography, epidemiology, public health, economic history, or economics.
• Other experiences relevant to doctoral education, e.g., work experience.

Applicants should be interested in inequalities in health and survival and how to measure these using innovative methods based on registry and survey data. The applicant should have demonstrable experience in quantitative analysis of individual-level data and data management of large longitudinal databases at the micro level. Experience working with R is considered advantageous.

Project

The doctoral student(s) will work within the ERC-funded research project 'RELATIVE HEALTH: Long-Run Inequalities in Health and Survival Between Families and Across Generations' (PI Ingrid van Dijk). The project is motivated by inequalities in life expectancy and health in populations and seeks to find new ways to quantify such differences between populations, using continuity in health across generations and similarities between relatives. Using a variety of longitudinal registry and survey data, new methods for measuring inequalities in health and survival between populations will be developed. The project will involve close collaboration with other project members to better understand the factors influencing inequalities and changes over time and differences between countries and regions.

Read the full advertisement here: https://lu.varbi.com/what:job/jobID:810603/ (https://lu.varbi.com/what:job/jobID:810603/)

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