PhD Fellowships in Biostatistics (University of Copenhagen)

Project Description We invite highly qualified, thorough, and motivated applicants to apply for the position. The PhD will engage in research on causal discovery and inference, and for partially identified effects. This may include the use of partially identified estimands, causal discovery in settings with partial identification, causal discovery with temporal background knowledge, and/or causal risk prediction. An understanding of basic causal inference or causal discovery is useful, as well as experience with statistical programming and R development Principal supervisor Professor Erin Gabriel, Associate Professor Michael Sachs, or Professor Claus Ekstrøm, Co-supervisor Assistant professor Anne Helby Petersen Start: May 1st 2025 Duration: 3 years as a PhD student Job description Your key tasks as a PhD student at SUND are: • Carry out an independent research project under supervision • Complete PhD courses or other equivalent education corresponding to approx. 30 ECTS points • Participate in active research environments including a stay at another research team • Obtain experience with teaching or other types of dissemination related to your PhD project • Write a PhD thesis on the grounds of your project Key criteria for the assessment of applicants The successful applicant for the Ph.D. scholarship will be a statistician with a strong background in mathematics and statistics i.e., a candidate degree in for example mathematics, (bio)statistics, or engineering sciences. Accordingly, we require documented skills within theoretical and applied statistics and the ability to program in R. Also, the applicant should be interested in learning to communicate research findings in teaching, conference talks, and by writing scientific papers for international journals. It is a prerequisite for the PhD fellowship that the candidate can be and is not already enrolled as a PhD student at the faculty of Health and Medical Sciences, University of Copenhagen. Place of employment The place of employment is at the Section of Biostatistics, Department of Public Health, CSS, University of Copenhagen. We offer creative and stimulating working conditions in dynamic and international research environment. About the Centre: The Pioneer Centre for Statistical and computational Methods for Advanced Research to Transform Biomedicine (SMARTbiomed) will support a critical mass of researchers who focus on method and software development for analysis and inference from massive human data, advancing applications in medicine. The Pioneer Centre for SMARTbiomed will leverage large-scale, multimodal biomedical data combined with focussed innovation in statistical and computational methods including machine learning to advance our understanding, treatment, and prevention of human disease. The Centre will be anchored at Aarhus University with hub sites at Copenhagen University and University of Oxford. Prof. Naomi Wray, Michael Davys Professor, Department of Psychiatry and Big Data Institute at the University of Oxford is the SMARTbiomed Director. The leadership executive team includes five co-PIs, Professor Chris Holmes, Professor of Biostatistics at the University of Oxford, Professor Cecilia Lindgren, Professor of Genomic Endocrinology & Metabolism, Big Data Institute, University of Oxford, Professor Bjarni Jóhann Vilhjálmsson, Professor of Statistical and Psychiatric Genetics, National Centre for Register-based Research, Aarhus University and Professor Erin Gabriel, Section of Biostatistics at the University of Copenhagen. SMARTbiomed is funded by the Danish National Research Foundation, the Novo Nordisk Foundation, the Lundbeck Foundation, the Carlsberg Foundation and the Villum Foundation. Funding has been secured to support a 13-year research plan. SMARTbiomed will support researchers who focus on method and software development for analysis of, and inference from, human health-related data, advancing applications in medicine. We will create a vibrant international community of researchers, both virtually and in-person, providing an exciting environment of collaboration to attract early-career researchers from a wide variety of fields, working as a team towards unified goals. Travel between the hubs is encouraged for all centre members. The core mission of SMARTbiomed is development of statistical and computational methods focussing on causal inference (theme lead: Erin Gabriel), risk prediction (theme lead: Bjarni Vilhjálmsson) and machine learning (theme lead: Chris Holmes). This broad focus is ring-fenced by questions relevant to common complex diseases/disorders (specifically cardiometabolic, brain and reproductive traits), and ring-fenced by big data types that are newly emerging for exploitation (‘omics, longitudinal – usually electronic health record or biobank - and clinical imaging data) Bridging omics and clinical big data within the Centre acknowledges a vision that translation of research advances from omics-based research will be facilitated by close integration with, and knowledge of, clinical data. Information on the centre can be found at: https://SMARTbiomed.dk/ Terms of employment The employment as PhD fellow is full time and for 3 years. It is conditioned upon the applicant’s successful enrollment as a PhD student at the Graduate School at the Faculty of Health and Medical Sciences, University of Copenhagen. This requires submission and acceptance of an application for the specific project formulated by the applicant prior to employment. The PhD study must be completed in accordance with The Ministerial Order on the PhD programme (2013) and the Faculty’s rules on achieving the degree. Salary, pension and terms of employment are in accordance with the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State. Depending on seniority, the monthly salary begins around 30,716.02 DKK /approx. 4,100 EUR (April 2024-level) plus pension. Questions For specific information about the PhD fellowship, please contact Professor Erin Gabriel. General information about PhD study at the Faculty of Health and Medical Sciences is available at the Graduate School’s website: https://healthsciences.ku.dk/phd/guidelines/ Application procedure Submit your application via the link below no later than Feb 15th, 2025. Applications submitted after this date will not be considered. The application must be written in English and should consist of the following: 1. Motivation letter of application (max 2 pages). Please briefly describe your previous research experiences and interests and what attracts you to the position in terms of both the topic and the academic work. 2. Curriculum vitae detailing education, work, research and teaching experiences, conference presentations, publication record, language skills and other skills relevant for the position 3. Documentation of knowledge on advanced computational methods, e.g., a list of methods you have worked with and in which context. 4. Official transcripts of examination results. 5. A certified/signed copy of degree certificate(s). 6. Contact information for two reference persons. Application deadline: February 15th 2025, 23.59pm CET We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the above mentioned requirements. The further process After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the hiring committee. All applicants are then immediately notified whether their application has been passed for assessment by an unbiased assessor. Once the assessment work has been completed each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/ The applicant will be assessed according to the Ministerial Order no. 242 of 13 March 2012 on the Appointment of Academic Staff at Universities. The University of Copenhagen wishes to reflect the diversity of society and encourage all qualified candidates to apply regardless of personal background. The Department of Public Health at the University of Copenhagen offers 1-2 PhD fellowships in biostatistics with special focus on methods development for causal discovery, causal inference and causal prediction. The anticipated hiring date is 1 May, 2025, or as soon as possible thereafter. The PhD students are expected to develop and apply statistical methodology for causal inference and discovery in observational and experimental data, and will be part of the SMARTbiomed Pioneer centre https://SMARTbiomed.dk/about-SMARTbiomed.APPLY NOW Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career. Contact Erin Evelyn Gabriel E-mail: erin.gabriel@sund.ku.dk Info Application deadline: 15-02-2025 Employment start: 01-05-2025 Working hours: Full time Department/Location: Department of Public Health If you apply for this position please say you saw it on Academicoxy

Project Description
We invite highly qualified, thorough, and motivated applicants to apply for the position. The PhD will engage in research on causal discovery and inference, and for partially identified effects. This may include the use of partially identified estimands, causal discovery in settings with partial identification, causal discovery with temporal background knowledge, and/or causal risk prediction. An understanding of basic causal inference or causal discovery is useful, as well as experience with statistical programming and R development

Principal supervisor Professor Erin Gabriel, Associate Professor Michael Sachs, or Professor Claus Ekstrøm, Co-supervisor Assistant professor Anne Helby Petersen
Start: May 1st 2025
Duration: 3 years as a PhD student

Job description
Your key tasks as a PhD student at SUND are:
•   Carry out an independent research project under supervision
•   Complete PhD courses or other equivalent education corresponding to approx. 30 ECTS points
•   Participate in active research environments including a stay at another research team
•   Obtain experience with teaching or other types of dissemination related to your PhD project
•   Write a PhD thesis on the grounds of your project

Key criteria for the assessment of applicants
The successful applicant for the Ph.D. scholarship will be a statistician with a strong background in mathematics and statistics i.e., a candidate degree in for example mathematics, (bio)statistics, or engineering sciences. Accordingly, we require documented skills within theoretical and applied statistics and the ability to program in R. Also, the applicant should be interested in learning to communicate research findings in teaching, conference talks, and by writing scientific papers for international journals.
It is a prerequisite for the PhD fellowship that the candidate can be and is not already enrolled as a PhD student at the faculty of Health and Medical Sciences, University of Copenhagen.

Place of employment
The place of employment is at the Section of Biostatistics, Department of Public Health, CSS, University of Copenhagen. We offer creative and stimulating working conditions in dynamic and international research environment.

About the Centre: The Pioneer Centre for Statistical and computational Methods for Advanced Research to Transform Biomedicine (SMARTbiomed) will support a critical mass of researchers who focus on method and software development for analysis and inference from massive human data, advancing applications in medicine. The Pioneer Centre for SMARTbiomed will leverage large-scale, multimodal biomedical data combined with focussed innovation in statistical and computational methods including machine learning to advance our understanding, treatment, and prevention of human disease.

The Centre will be anchored at Aarhus University with hub sites at Copenhagen University and University of Oxford. Prof. Naomi Wray, Michael Davys Professor, Department of Psychiatry and Big Data Institute at the University of Oxford is the SMARTbiomed Director. The leadership executive team includes five co-PIs, Professor Chris Holmes, Professor of Biostatistics at the University of Oxford, Professor Cecilia Lindgren, Professor of Genomic Endocrinology & Metabolism, Big Data Institute, University of Oxford, Professor Bjarni Jóhann Vilhjálmsson, Professor of Statistical and Psychiatric Genetics, National Centre for Register-based Research, Aarhus University and Professor Erin Gabriel, Section of Biostatistics at the University of Copenhagen.

SMARTbiomed is funded by the Danish National Research Foundation, the Novo Nordisk Foundation, the Lundbeck Foundation, the Carlsberg Foundation and the Villum Foundation. Funding has been secured to support a 13-year research plan. SMARTbiomed will support researchers who focus on method and software development for analysis of, and inference from, human health-related data, advancing applications in medicine. We will create a vibrant international community of researchers, both virtually and in-person, providing an exciting environment of collaboration to attract early-career researchers from a wide variety of fields, working as a team towards unified goals. Travel between the hubs is encouraged for all centre members.

The core mission of SMARTbiomed is development of statistical and computational methods focussing on causal inference (theme lead: Erin Gabriel), risk prediction (theme lead: Bjarni Vilhjálmsson) and machine learning (theme lead: Chris Holmes). This broad focus is ring-fenced by questions relevant to common complex diseases/disorders (specifically cardiometabolic, brain and reproductive traits), and ring-fenced by big data types that are newly emerging for exploitation (‘omics, longitudinal – usually electronic health record or biobank - and clinical imaging data) Bridging omics and clinical big data within the Centre acknowledges a vision that translation of research advances from omics-based research will be facilitated by close integration with, and knowledge of, clinical data.
Information on the centre can be found at: https://SMARTbiomed.dk/

Terms of employment
The employment as PhD fellow is full time and for 3 years.
It is conditioned upon the applicant’s successful enrollment as a PhD student at the Graduate School at the Faculty of Health and Medical Sciences, University of Copenhagen. This requires submission and acceptance of an application for the specific project formulated by the applicant prior to employment.

The PhD study must be completed in accordance with The Ministerial Order on the PhD programme (2013) and the Faculty’s rules on achieving the degree. Salary, pension and terms of employment are in accordance with the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State. Depending on seniority, the monthly salary begins around 30,716.02 DKK /approx. 4,100 EUR (April 2024-level) plus pension.

Questions
For specific information about the PhD fellowship, please contact Professor Erin Gabriel.
General information about PhD study at the Faculty of Health and Medical Sciences is available at the Graduate School’s website: https://healthsciences.ku.dk/phd/guidelines/

Application procedure
Submit your application via the link below no later than Feb 15th, 2025. Applications submitted after this date will not be considered.
The application must be written in English and should consist of the following:
1.   Motivation letter of application (max 2 pages). Please briefly describe your previous research experiences and interests and what attracts you to the position in terms of both the topic and the academic work.
2.   Curriculum vitae detailing education, work, research and teaching experiences, conference presentations, publication record, language skills and other skills relevant for the position
3.   Documentation of knowledge on advanced computational methods, e.g., a list of methods you have worked with and in which context.
4.   Official transcripts of examination results.
5.   A certified/signed copy of degree certificate(s).
6.   Contact information for two reference persons.

Application deadline: February 15th 2025, 23.59pm CET

We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the above mentioned requirements.

The further process
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the hiring committee. All applicants are then immediately notified whether their application has been passed for assessment by an unbiased assessor. Once the assessment work has been completed each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself.

You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/

The applicant will be assessed according to the Ministerial Order no. 242 of 13 March 2012 on the Appointment of Academic Staff at Universities.

The University of Copenhagen wishes to reflect the diversity of society and encourage all qualified candidates to apply regardless of personal background.

The Department of Public Health at the University of Copenhagen offers 1-2 PhD fellowships in biostatistics with special focus on methods development for causal discovery, causal inference and causal prediction. The anticipated hiring date is 1 May, 2025, or as soon as possible thereafter. The PhD students are expected to develop and apply statistical methodology for causal inference and discovery in observational and experimental data, and will be part of the SMARTbiomed Pioneer centre https://SMARTbiomed.dk/about-SMARTbiomed.APPLY NOW

Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.