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PhD Scholarship in Cancer T Cell Immunoinformatics
DTU Health Tech
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Tuesday 23 Nov 21
Apply for this job
Apply no later than 19 December 2021
Apply for the job at DTU Health Tech by completing the following form.
The Section for Bioinformatics, DTU Health Tech is world leading within
Immunoinformatics and Machine-Learning. Currently, we are seeking a highly
talented and motivated PhD student within the field of Cancer T Cell
Over the last years, there has been an explosion of interest and progress in
the field of cancer immunotherapy and the developed of personalized cancer
vaccines based on neoepitope hosting particular mutations that occur in each
cancer patient. However, progress in the field is challenged by limited
accuracy of current cancer neo-epitope prediction method, limited
understanding of which factors other than HLA presentation influence peptide
immunogenicity, and lack of transparent and comprehensive benchmark approaches
to evaluate proposed computational neo-epitope prediction pipelines. As part
of the National Cancer Institute (NCI) Cancer Epitope Database and Analysis
Resource (CEDAR) initiative, this PhD position will seek to address these
challenges using cutting edge research to gain novel insights and advance our
understanding of the rules defining cancer neopeptide immunogenicity.
If you are looking for the best possible foundation for establishing your
scientific carrier and fulfilling your dreams and ambitions, this position
could be your opportunity.
Responsibilities and qualifications
The project will be conducted in the inspiring environment at the Section for
Bioinformatics at DTU Health Tech as part of the IML research group led by
Professor Morten Nielsen in close collaboration with the CEDAR leader team at
La Jolla Institute for Immunology (LJI), San Diego, California.
You must have a two-year master's degree (120 ECTS points) or a similar
degree in one or more of the following areas: Bioinformatics, Biology,
Engineering, Computer science or related fields, and have experience doing
research within Bioinformatics.
The successful candidate must moreover exhibit the following professional and
Strong background within machine learning, and immuninformatics is a
Knowledge of the basic concepts of the cellular immune system is a plus
Capability of taking personal responsibility for your work and your
Flexibility and a general positive attitude to changes
Motivation by both individual and team accomplishments
Strong communication skills in both written and verbal English
Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the
candidate will be enrolled in one of the general degree programmes at DTU. For
information about our enrolment requirements and the general planning of the
PhD study programme, please see the DTU PhD Guide.
DTU is a leading technical university globally recognized for the excellence
of its research, education, innovation and scientific advice. We offer a
rewarding and challenging job in an international environment. We strive for
academic excellence in an environment characterized by collegial respect and
academic freedom tempered by responsibility.
Salary and terms of employment
The appointment will be based on the collective agreement with the Danish
Confederation of Professional Associations. The allowance will be agreed upon
with the relevant union. The period of employment is 3 years with a starting
date of 1 February 2022 or as soon as possible hereafter.
You can read more about career paths at DTU here.
Further information may be obtained from Morten Nielsen, firstname.lastname@example.org and at
Immunoinformatics and Machine Learning (IML).
You can read more about DTU Health Tech at www. healthtech.dtu.dk/english.
If you are applying from abroad, you may find useful information on working in
Denmark and at DTU at DTU – Moving to Denmark.
Your complete online application must be submitted no later than 19
December 2021 (Danish time). Applications must be submitted as one PDF
file containing all materials to be given consideration. To apply, please
open the link "Apply online", fill out the online application form, and attach
all your materials in English in one PDF file. The file must include:
A letter motivating the application (cover letter)
Grade transcripts and BSc/MSc diploma
Excel sheet with translation of grades to the Danish grading system (see
guidelines and Excel spreadsheet here)
You may apply prior to obtaining your master's degree but cannot begin
before having received it.
Applications received after the deadline will not be considered.
All interested candidates irrespective of age, gender, race, disability,
religion or ethnic background are encouraged to apply.
Section for Bioinformatics
The section for Bioinformatics within DTU Health Tech has its main research
and teaching activities in bio-medical and bio-technological informatics,
metagenomics, epidemiology, integrative systems biology and machine learning.
The research at DTU Bioinformatics is focused on bioinformatics and
computational analyses of large amounts of data generated within biological,
biomedical and biotechnological and life sciences area. We strive to gain new
knowledge and drive innovation in human, animal, plant and food science and
collaborate with all relevant industries. A cornerstone in achieving this is
the dedicated effort within DTU Bioinformatics to develop bioinformatics,
immuno-informatics, metagenomics and systems biology methods and solutions to
the challenge of handling and interpreting large scale and heterogeneous big
data. We run projects combining big data and laboratory research via the
national supercomputing center (Computerome) and molecular genomics
DTU Health Tech engages in research, education, and innovation base on
technical and natural science for the healthcare sector. The Healthcare sector
is a globally expanding market with demands for the most advanced
technological solutions. DTU Health Tech creates the foundation for companies
to develop new and innovative services and products which benefit people and
create value for society. DTU Health Techs expertise spans from imaging and
biosensor techniques, across digital health and biological modelling, to
biopharma technologies. The department has a scientific staff of about 210
persons, 130 PhD students and a technical/administrative support staff of
about 160 persons, of which a large majority contributes to our research
infrastructure and related commercial activities.
Technology for people
DTU develops technology for people. With our international elite research and
study programmes, we are helping to create a better world and to solve the
global challenges formulated in the UN's 17 Sustainable Development Goals.
Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and
create value using science and engineering to benefit society. That vision
lives on today. DTU has 12,900 students and 6,000 employees. We work in an
international atmosphere and have an inclusive, evolving, and informal working
environment. DTU has campuses in all parts of Denmark and in Greenland, and we
collaborate with the best universities around the world.