Colorectal cancer is the third most common cancer worldwide. Surgery is pivotal for the treatment of colorectal cancer but is associated with postoperative complications. Postoperative acute kidney injury (AKI) confers a significant complication in colorectal cancer patients as it occurs in 20% of patients undergoing colorectal cancer surgery and is associated with high mortality. A prediction model for the risk of postoperative AKI may help clinicians identify patients with a particularly high risk of AKI, thus requiring special attention.
We, therefore, aim to develop and validate a clinical prediction model of the postoperative risk of AKI in patients undergoing colorectal cancer surgery using patient-related prognostic factors available at the time of surgery.
The project will be conducted as an observational study and use the internationally unique medical databases from Denmark.
Who are You?
We are looking for an ambitious research year student with an interest in epidemiology, kidney diseases, and cancer. You should be dedicated, focused, and good at working in collaboration with others. Although we here present a potential project, we expect you to play a major part in deciding on the specific research question.
With input from your supervisors, you will be responsible for writing the research year project protocol and applying for funding. Your supervisors will be available throughout this process. Writing the protocol and applying for funding will take place this winter and the spring of 2023. The project is scheduled to start on September 1, 2023. At the time of enrolment to the research year, you must have passed the 6th semester of Bachelor of medical school.
You will be part of a professional research environment and have both senior researchers and a PhD student as supervisors. You will work with experienced researchers in the field of epidemiology as well as you will have the possibility to talk to your supervisors on a daily basis. You will learn how to design, plan, and perform epidemiological studies. A part of this will be learning how to use statistical software as you are expected to perform your own analyses. Previous experience with programming is not mandatory and our experience is that most research year students quickly acquire the needed programming skills. We expect you to write a least one manuscript for submission to an international peer-reviewed journal and to present the results at an international conference.
If you are interested, please send us your CV including grades and motivation in Danish or English.
The deadline for application is December 15, 2022.
- Main supervisor: Christian Fynbo Christiansen, MD, PhD, Consultant, Professor
- Co-supervisor: Philip Vestergaard Munch, MD, PhD student
- Co-supervisor: Lene Hjerrild Iversen, MD, Clinical professor
Philip Vestergaard Munch, MD, PhD student
Department of Clinical Epidemiology
Aarhus University Hospital
Olof Palmes Allé 43-4
8200 Aarhus N