Postdoc in neighborhood effects on child development
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Odense M
The University of Southern Denmark (SDU), Odense, invites applications for a postdoctoral fellowship within the research areas of neighborhood effects, child development, and behavior genetics. The position, hosted within the Department of Psychology, is open to applicants from all fields, including but not limited to psychology, economics, and public health.
Funding is available for 3 years. The position is expected to begin with a 2 year contract, with the third-year contract extension available with satisfactory progress. Desired starting date is January 29th, 2024, though alternative dates are possible.
The project is funded by the Independent Research Fund Denmark and led by Associate Professor Steven Ludeke.
The position and the project
The project uses Denmark’s distinctively rich registry data, exploring a range of life outcomes throughout early development on the full Danish population (including on crucial subsets such as adoptees). We seek to clarify the degree to which commonly-reported associations between neighborhood characteristics and various developmental outcomes plausibly represent genuine effects of the neighborhood, by exploring how these associations are attenuated by removing a potent source of confounding—namely, the fact that birth parents in non-adoptive families both select the child’s neighborhood and provide the child’s genetics. Outcomes we will explore include education, conduct problems, and mental health, though expertise with these areas is not required for applicants.
The position will involve primary responsibility for data organization and statistical analysis, as well as co-authorship of scientific articles. Teaching is not required as part of this position. Daily work will be conducted in English, and familiarity with Danish is not necessary.
Required qualifications
• PhD in pertinent field within the social or health sciences, including but not limited to psychology, economics, epidemiology, public health, political science, and sociology. Highly-qualified ABD applicants should contact Steven Ludeke to discuss their expected degree timeline.
• Highly proficient in at least one statistical programming language (e.g., R, Stata, SAS, Python). Candidates that can show an aptitude for learning new coding languages will be preferred.
• Proficiency with advanced statistical analysis techniques, demonstrated through mastery of one or more of complex modelling techniques (e.g., multilevel models, fixed effects models, mixed effects models, or GLM ).
• A strong record of international publications commensurate with the applicant’s field and level of experience.
• Proficiency in spoken and written English.
Additional desirable qualifications
• Some experience with 'Big Data' or another complex data organization project is preferred, but not required if advanced coding skills can be demonstrated in other ways.
We offer
• The opportunity to collaborate on high-impact, multi-disciplinary research using distinctively potent data.
• Flexibility in planning working hours and significant (though not total) locational flexibility.
• Advanced professional training opportunities.
• Participation in international conferences.
• Postdoc salary according to Danish collective bargaining, which is primarily based on years of experience and is very competitive internationally.
The application must be in English.
For questions regarding the position, please contact Associate Professor Steven Ludeke ([email protected] ).
Application
Applications must be submitted electronically using the “apply online” link. Attached files must be in Adobe PDF or Word format. Each box can only contain a single file of max. 10 Mb. We strongly recommend that you read How to apply before you apply.
The application must contain the following items:
Only applications submitted online and written in English will be accepted for evaluation.
Incomplete applications and applications received after the deadline will neither be considered nor evaluated.
Applications may be shortlisted.
Employment
The successful applicant will be employed in accordance with the agreement between the Ministry of Finance and AC (the Danish Confederation of Professional Associations). An evaluation will be performed 3 months after employment.
Living and working in Denmark
Foreign applicants will be offered Danish language training as part of the employment. The International Staff Office (ISO) at SDU provides a variety of services for new employees, guests and people who consider applying for a job at the University of Southern Denmark. Among other things, the staff answers questions concerning salary, taxation, housing and accompanying family.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Funding is available for 3 years. The position is expected to begin with a 2 year contract, with the third-year contract extension available with satisfactory progress. Desired starting date is January 29th, 2024, though alternative dates are possible.
The project is funded by the Independent Research Fund Denmark and led by Associate Professor Steven Ludeke.
The position and the project
The project uses Denmark’s distinctively rich registry data, exploring a range of life outcomes throughout early development on the full Danish population (including on crucial subsets such as adoptees). We seek to clarify the degree to which commonly-reported associations between neighborhood characteristics and various developmental outcomes plausibly represent genuine effects of the neighborhood, by exploring how these associations are attenuated by removing a potent source of confounding—namely, the fact that birth parents in non-adoptive families both select the child’s neighborhood and provide the child’s genetics. Outcomes we will explore include education, conduct problems, and mental health, though expertise with these areas is not required for applicants.
The position will involve primary responsibility for data organization and statistical analysis, as well as co-authorship of scientific articles. Teaching is not required as part of this position. Daily work will be conducted in English, and familiarity with Danish is not necessary.
Required qualifications
• PhD in pertinent field within the social or health sciences, including but not limited to psychology, economics, epidemiology, public health, political science, and sociology. Highly-qualified ABD applicants should contact Steven Ludeke to discuss their expected degree timeline.
• Highly proficient in at least one statistical programming language (e.g., R, Stata, SAS, Python). Candidates that can show an aptitude for learning new coding languages will be preferred.
• Proficiency with advanced statistical analysis techniques, demonstrated through mastery of one or more of complex modelling techniques (e.g., multilevel models, fixed effects models, mixed effects models, or GLM ).
• A strong record of international publications commensurate with the applicant’s field and level of experience.
• Proficiency in spoken and written English.
Additional desirable qualifications
• Some experience with 'Big Data' or another complex data organization project is preferred, but not required if advanced coding skills can be demonstrated in other ways.
We offer
• The opportunity to collaborate on high-impact, multi-disciplinary research using distinctively potent data.
• Flexibility in planning working hours and significant (though not total) locational flexibility.
• Advanced professional training opportunities.
• Participation in international conferences.
• Postdoc salary according to Danish collective bargaining, which is primarily based on years of experience and is very competitive internationally.
The application must be in English.
For questions regarding the position, please contact Associate Professor Steven Ludeke ([email protected] ).
Application
Applications must be submitted electronically using the “apply online” link. Attached files must be in Adobe PDF or Word format. Each box can only contain a single file of max. 10 Mb. We strongly recommend that you read How to apply before you apply.
The application must contain the following items:
- A letter stating your specific interest, motivation, and qualifications for the project in question (max. two pages).
- A detailed CV, including personal contact information (max three pages).
- A complete and numbered publication list.
- Up to 3 scientific publications considered by the applicant to be most important for this position.
- Documentation of Master and Ph.D. degrees.
Only applications submitted online and written in English will be accepted for evaluation.
Incomplete applications and applications received after the deadline will neither be considered nor evaluated.
Applications may be shortlisted.
Employment
The successful applicant will be employed in accordance with the agreement between the Ministry of Finance and AC (the Danish Confederation of Professional Associations). An evaluation will be performed 3 months after employment.
Living and working in Denmark
Foreign applicants will be offered Danish language training as part of the employment. The International Staff Office (ISO) at SDU provides a variety of services for new employees, guests and people who consider applying for a job at the University of Southern Denmark. Among other things, the staff answers questions concerning salary, taxation, housing and accompanying family.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Information og data
Denne ledige stilling har jobtypen "Forsker", og befinder sig i kategorien "Sundhed og forskning".
Arbejdsstedet er beliggende i Odense M.
Jobbet er oprettet på vores service den 16.9.2023, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Forsker
- Odense M
- Søndag den 15. oktober 2023
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