Doctoral student in Medical Science - Statistical modelling in neonatology

Updated: 24 days ago
Job Type: Permanent
Deadline: 25 Apr 2019

The Department of Clinical Neuroscience is located at the Institute of Neuroscience and Physiology at the Faculty of Health Care Sciences at Sahlgrenska Academy, University of Gothenburg. At the Department research is conducted covering the following areas; neurology, neurosurgery, clinical neurophysiology, ophthalmology, rehabilitation medicine and experimental neuroscience in close collaboration with Sahlgrenska University Hospital. We are responsible for courses on the degree programmes for future physicians, biomedical analysts, occupational therapists, physiotherapists and speech & language pathologists. We also offer contract education and have collaboration with the Department of Neuro Health Care at the Sahlgrenska University Hospital. At the Department there are about twenty research groups.

Project title: Statistical modelling for prediction of clinical outcomes in neonatology


Job assignments

Third-cycle studies are equivalent to four year full-time and lead to a Degree of Doctor. Those appointed to doctoral studentships shall primarily devote themselves to their studies. Those appointed to doctoral studentships may, however, work to a limited extent with educational tasks, research and administration. Before a PhD degree has been awarded, duties of this kind may not comprise more than 20 per cent of a full-time post.

The PhD education in Medical Science comprise carrying out a scientific project and completing at least 30 credits of courses at third-cycle level. The doctoral student must also write a scientific compilation thesis or monograph corresponding to at least 120 credits. For more information about third-cycle studies at Sahlgrenska Academy, see https://medarbetarportalen.gu.se/sahlgrenskaakademin/forskarutbildning/languageId=100001

Project: In Sweden, a recent report from a national preterm birth population cohort (2014-16), born between 22nd and 26th gestational week, showed a high rate of survival (82%), however experiencing severe neonatal morbidities in a great extent. The aim of this research project is to design, develop and validate individual prediction models for preterm infants with emphasis on neonatal morbidities especially the eye disease ROP.

A newly developed method, Poisson regression for time-varying data, providing a possibility to estimate and describe hazard functions will be employed both using available data at birth and longitudinal time-dependent data. The outcomes will be validated and compared to the outcomes of other statistical methods, in order to develop an optimal method that provides individual timing of the highest risk to need ROP treatment in order to prevent blindness. In addition, the individual cumulative risk with confidence limits for needing treatment of ROP will be calculated and validated. The suggested method is specifically enabling the user to study the interactions between the timing scale and the predictive parameters, i.e. it allows studying the change over time in the effects on the outcome for a predictor, which is crucial for development of morbidities in neonatology. The degree of intrauterine growth retardation i.e. birth weight SDS is a very important risk factor for many neonatal morbidities. As proper BWSDS references are lacking in this population one subproject will be to develop a new BWSDS reference that will be used as one of the predictors in the models. The results from this PhD project are planned to be used as “rule-models” for developing individual prediction models for timing of event and risk of developing neonatal morbidities as well as to be employed in the neonatal clinical planning and decision-making.  


Eligibility

To be eligible for third-cycle studies, the applicant must meet both the general and specific entry requirements.

A person meets the general entry requirements for third-cycle studies if he or she:
1. has been awarded a second-cycle qualification
2. has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second-cycle, or
3. has acquired substantially equivalent knowledge in some other way in Sweden or abroad

A person meets the specific entry requirements for third-cycle studies in Medical Science if he or she has successfully completed the English B/6 course or is considered to have acquired equivalent knowledge through previous studies.


Assessment

In selecting between applicants who meet the general and specific entry requirements, their ability to benefit from third-cycle studies shall be taken into account. The assessment shall attach particular importance to documented qualifications for:
- specific knowledge and skills within the subject area and related research fields
- experience of scientific theory and relevant research methodology
- scientific analysis and presentation verified through thesis, degree project, scientific journals or the like.

It is desired that the applicant has a background as a statistician with specific competence regarding risk prediction models and experience in handling survival data and data in the field of neonatology. Knowledge in SAS programming and ability to understand and use new statistical methods is an advantage.


Employment

After admission to third-cycle studies you will be appointed to doctoral studentship. Regulations for employment of doctoral students are given in SFS 1993:100. The initial appointment may apply for no longer than one year. An appointment may be renewed for no more than two years at a time. A person may be appointed to a doctoral studentship for a total of eight years. The total employment period may, however, not exceed the time corresponding to full-time third-cycle study for four years.

Location: Sahlgrenska Academy, Institute of Neuroscience and Physiology, Department of Clinical Neuroscience. Extent: 100%. First day of employment: as agreed.

Salaries for doctoral students are regulated in a local agreement at the University.


For further information regarding the position

For more information about the project please contact the principal supervisor,
Ann Hellström, Professor, Institute of Neuroscience and Physiology,
phone: +46 768 979196, e-mail: ann.hellstrom@medfak.gu.se 


Unions

Union representatives at the University of Gothenburg: http://www.gu.se/english/about_the_university/job-opportunities/union-representatives


How to apply

In order to apply for a position at the University of Gothenburg, you have to register an account in our online recruitment system. It is the responsibility of the applicant to ensure that the application is complete in accordance with the instructions in the job advertisement, and that it is submitted before the deadline.

You must include the following, in pdf format

  • Personal letter
  • CV
  • Diploma and transcripts showing that you meet with the general entry requirement
  • Proof of completion of  English 6 course or the acquired equivalent knowledge through previous studies

If your degree is from a university outside of Sweden, check what you need to submit at https://www.universityadmissions.se/en/All-you-need-to-know1/Applying-for-studies/Documenting-your-eligibility-for-studies/Instructions-for-Masters-applicants/Specific-requirements-for-my-country1/ where you can also see what you need to submit in order to fulfill the English language requirement.

  • If your degree has not been verified by a Swedish authority you need to provide contact details to the issuing university, registrar or similar, that can verify the degree at our request.

Closing date: 2019-04-25

The University of Gothenburg promotes equal opportunities, equality and diversity.

Applications will be destroyed or returned (upon request) two years after the decision of employment has become final. Applications from the employed and from those who appeal the decision will not be returned.


The University of Gothenburg tackles society’s challenges with diverse knowledge. 47 500 students and 6 400 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract scientists and students from around the world. With new knowledge and new perspectives, the University contributes to a better future.

In connection to this recruitment, we have already decided which recruitment channels we should use. We therefore decline further contact with vendors, recruitment and staffing companies.


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