[Statlist] PhD position in statistical data science with medical applications

[David Ginsbourger]

*_PhD position in statistical data science with medical applications_*


In the framework of a collaboration between the University of Bern and 
Inselspital (Bern University Hospital), we are seeking highly qualified, 
motivated and creative candidates wishing to develop innovative 
statistical & machine learning methods in the area of personalized health.

*Context and supervision:*The recruited student will be jointly 
supervized by Prof. Dr. David Ginsbourger (Statistics) and PD Dr. Ben 
Spycher (Epidemiology) and closely collaborate with the teams of Prof. 
Dr. Petra Stute (Endocrinological gynecology, Inselspital) and Dr. Rowan 
Iskandar (Health economics, SITEM Insel) within their joint project 
funded by the newly created Multidisciplinary Center for Infectious 
Diseases (MCID). There will also be interactions with a related project 
in the framework of the Center of Artificial Intelligence for Medecine 
(CAIM).

*Project:*The overarching goal is to help developing a digital medical 
device App for women in or after menopause. The App will work with data 
from a smart tracker to drive statistical machine learning models to 
produce personalized risk assessments of chronic disease development and 
will issue early warnings (red flags) of potential respiratory tract 
infections (e.g. common colds, flu, COVID-19), ideally before symptoms 
begin. Beyond preliminary data handling, analysis and modelling tasks 
involved in the initial phase, the target will be to develop and 
implement prediction and warning methods relying on latent models such 
as inhomogeneous point process models for infectious disease warnings 
based on various data sources including data-streams from mobile phones 
and wearables, medical test results, questionnaire responses, and 
external information such as infection rates of viruses circulating in 
the population. This diversity of data types will call for creative 
solutions that may encompass investigating novel classes of kernels.

*Sought profile:*The ideal candidate will have recently earned or be 
about to finish their master’s degree in statistics or neighbouring 
subjects with a strong mathematical component, a genuine interest in 
statistical data science and applications thereof, a taste for both 
theoretical investigations and numerical experiments, and solid 
programming skills.The salary will be at thelevel foreseen by the SNSF 
<https://www.snf.ch/SiteCollectionDocuments/Annex_XII_Ausfuehrungsreglement_Beitragsreglement_E.pdf>. 
There might be a possibility to complement funding by taking up teaching 
and consulting duties. The funding is secured for 3 years with the 
starting date of September 1st 2022 or as can be arranged by mutual 
agreement.

*Applications should contain*: (1) a letter in which the applicants 
describe their research interests and the motivation to apply, (2) a 
complete CV, (3) copies of relevant diplomas, certificates as well as 
the full transcript of records, (4) an electronic version of a research 
work (Master thesis or other scientific publication), (5) contact 
information of 2 – 3 references.

Applications and inquiries should be sent to both Prof. Dr. David 
Ginsbourger and PD. Dr. Ben Spycher atdavid.ginsbourger at stat.unibe.ch 
<mailto:david.ginsbourger at stat.unibe.ch> and ben.spycher at ispm.unibe.ch 
<mailto:ben.spycher at ispm.unibe.ch>


https://ohws.prospective.ch/public/v1/jobs/019b1e69-1b95-4b12-814a-0df6360fd6cb 
<https://ohws.prospective.ch/public/v1/jobs/019b1e69-1b95-4b12-814a-0df6360fd6cb> 


-- 
Prof. Dr. David Ginsbourger
Director of Studies in Statistics
Institute of Mathematical Statistics and Actuarial Science
University of Bern

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