Lund University, Centre for Environmental and Climate Science
Lund University was founded in 1666 and is repeatedly ranked among the world's
top 100 universities. The University has around 44 000 students and more than
8 000 staff based in Lund, Helsingborg and Malmö. We are united in our efforts
to understand, explain and improve our world and the human condition.
Lund University welcomes applicants with diverse backgrounds and experiences.
We regard gender equality and diversity as a strength and an asset.
Characterisation of uncertainty includes identifying sources of uncertainty
and evaluating their importance on the conclusions of an assessment.
Subjective probability is a quantitative description of uncertainty that
allows for combining principles of expert elicitation with Bayesian inference
and probabilistic modelling. The aim of this research is to develop and study
the implementation of principles and methods to characterise uncertainty using
subjective probability in scientific assessment in practice.
The postdoc will work with integrating data and evidence into models using
computational modelling, including statistical modelling and machine learning,
combined with expert knowledge elicitation to assess uncertainty in
conclusions of an assessment. Specific focus is on uncertainties associated
with new approach methodologies (NAMs) and Adverse Outcome Pathways (AOPs)
used for chemical safety assessment as part of the RISK-HUNT3R project. The
candidate will be involved in conceptualisation and applications of
uncertainty characterisation in case studies defined within the project. This
is a multi-disciplinary project involving statistical modelling and risk
assessment, in collaboration with researchers in other disciplines, such as
toxicology and molecular biology as well as computational science, statistics
and risk analysis.
Active contribution to method development, including taking part of
training, to pursue the overall project goals
Active participation at international conferences is expected, as well as
dissemination of results in peer-reviewed publications
If interested, supervise degree projects as well as co-supervise PhD
Actively seek independent research funding during the employment period,
providing the opportunity to transition towards an independent researcher
Appointment to a post-doctoral position requires that the applicant has a
PhD, or an international degree deemed equivalent to a PhD, within the subject
of the position, completed no more than three years before the last date for
applications. Under special circumstances, the doctoral degree can have been
Very good oral and written proficiency in English
A higher education in mathematics and statistics or similar, with
experience in Bayesian modelling
We are looking for a candidate with an interest in using subjective
probability to quantify uncertainty. There will be learning opportunities in
principles and methods for expert knowledge elicitation, Bayesian modelling
(including generelisations thereof) and chemical safety assessment.
Assessment criteria and other qualifications
This is a career development position primarily focused on research. The
position is intended as an initial step in a career, and the assessment of the
applicants will primarily be based on their research qualifications and
potential as researchers.
Particular emphasis will be placed on research skills within the subject.
For appointments to a post-doctoral position, the following shall form the
A good ability to develop and conduct high quality research
Additional assessment criteria:
Experience of expert knowledge elicitation, evidence synthesis,
quantitative risk assessment or uncertainty analysis in risk assessment
Experience of NAMs and AOPs for assessment of chemical exposure and
effects on humans
The applicants must have the ability to collaborate well and communicate
scientific materials to non-scientists
Consideration will also be given to good collaborative skills, drive and
independence, and how the applicant's experience and skills complement and
strengthen ongoing research within the department, and how they stand to
contribute to its future development.
Terms of employment
This is a full-time, fixed-term employment of a maximum of 2 years. The
period of employment is determined in accordance with the agreement “Avtal om
tidsbegränsad anställning som postdoktor” (“Agreement on fixed-term
employment as a post-doctoral fellow”) between Lund University, SACO-S, OFR/S
and SEKO, dated February 1st 2022.
Instructions on how to apply
Applications shall be written in English and be compiled into a PDF-file
résumé/CV, including a list of publications
a general description of past research and future research interests (no
more than three pages)
contact information of at least two references
copy of the doctoral degree certificate, and other certificates/grades
that you wish to be considered
The Faculty of Science conducts research and education within Biology,
Astronomy, Physics, Geosciences, Chemistry, Mathematics and Environmental
Science. The Faculty is organized into nine departments, gathered in the
northern campus area. The Faculty has approximately 1500 students, 330 PhD
students and 700 employees.
The Centre for Environmental and Climate Science, CEC (https:// www. cec.lu.se)
conducts research, education and communication on environmental science and
climate research at Lund University.
We kindly decline all sales and marketing contacts.
Type of employment Temporary position longer than 6 months
Contract type Full time
First day of employment as soon as possible
Salary monthly salary
Number of positions 1
Working hours 100
County Skåne län
Reference number PA2022/2910
Ullrika Sahlin, universitetslektor, +46462226831
OFR/ST:Fackförbundet ST:s kansli, 046-2229362
SACO:Saco-s-rådet vid Lunds universitet, 046-2229364
SEKO: Seko Civil, 046-2229366
Last application date 30.Sep.2022 11:59 PM CEST
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