Postdoctoral position in Computational Proteomics
Lund University, Institutionen för immunteknologi
Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 45 000 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.
Description of the workplace
The Department of Immunotechnology is dedicated to research in Life Science, including immunology, oncology, and hypersensitivity/allergy. Our modern premises are located at Medicon Village, which hosts academic researchers, Life Science companies and health care actors. Several key infrastructures are available here, including facilities for Spatial Omics, mass spectrometry, flow cytometry, and antibody engineering, as well as NBIS (National Bioinformatics Infrastructure Sweden) bioinformaticians. Application of advanced technology to address complex biomedical challenges has positioned the Department at the forefront of several research areas and generated multiple spin-off companies also located at Medicon Village. You will be part of a computational proteomics research team dedicated to developing proteomics and computational methods, mainly within biomarker discovery in cancers.
The project aims at better quantifying proteoforms and their role in disease rather than one protein per gene in biomedical projects employing bottom-up LC-MS/MS proteomics. The research can involve new data representations and analytical approaches, both using publicly available data and in-house generate cancer proteomics data, in a collaboration with AI expertise in Lukas Käll’s group at KTH in a project named “Enabling proteoform biomarker discovery”.
This position is part of a joint collaboration between the two of the largest research programs in Sweden, the Wallenberg AI, Autonomous Systems and Software Program (WASP) and the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), with the ultimate goal of solving ground-breaking research questions across disciplines.
Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. Read more: https://wasp-sweden.org/
The Sci Life Lab and Wallenberg National Program for Data Driven Life Science (DDLS) is a 12-year initiative that focuses on data driven research, within fields essential for improving people’s lives, detecting and treating diseases, protecting biodiversity and creating sustainability. The program will train the next generation of life scientists and create strong computational and data science base. The program aims to strengthen national collaborations between universities, bridge the research communities of life sciences and data sciences, and create partnerships with industry, healthcare and other national and international actors. Read more: https://www.scilifelab.se/data-driven
The main duties involved in a post-doctoral position is to conduct research. You will be part of a proteomics group within the department of Immunotechnology. Teaching may also be included, but up to no more than 20% of working hours. The position includes the opportunity for three weeks of training in higher education teaching and learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity of further development, and the project can be tailored according to background and visions of the candidate.
The work will include to different degrees:
- Development and application of new approaches for proteoform quantification.
- Analysis of LC-MS/MS based proteomics datasets.
- Supervision of degree projects and doctoral students.
- Teaching in the first, second and third cycles of studies.
- Collaboration with industry and wider society.
- Administration related to the work duties listed above
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. The certificate proving the qualification requirement is met, must be received before the employment decision is made. Priority will be given to candidates who have graduated no more than three years ago before the last day for application. Under special circumstances, the doctoral degree can have been completed earlier.
- Very good oral and written proficiency in English.
- Several years of experience in processing and analysis of mass spectrometry-based proteomics data or similar datatypes.
- Very good programming knowledge in R, python or java
- Documented experience in performing research in omics at a high international level.
- Proven ability to independently develop computational approaches for large datasets at an internationally competitive level
- Very good ability to collaborate both within a small working group to drive projects forward, as well as with other colleagues at the working place.
- Ability to work independently by planning and taking own decisions to push on processes and other working tasks.
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 assessment criteria:
- A good ability to develop and conduct high quality research.
- Teaching skills.
- Documented autonomy in the field of research.
- Good capability to work as a part of a group.
Consideration will also be given to 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.
Lund University is a public authority which means that employees get particular benefits, generous annual leave and an advantageous occupational pension scheme. It is advisable to enter information on what your unit specifically can offer as a workplace.
Read more on the University website about being a Lund University employee: Work at Lund University.
Terms of employment
This is a full-time, fixed-term employment 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 and OFR/S, dated 1st February 2022.
How to apply
The application shall be written in English.It should contain a CV including publication list and a motivation letter explaining why you are interested in the position and how the position matches your merits. The application should also contain a copy of your exam certificate and other relevant documents (copies of grades, references, letters of recommendations, etc).
Welcome to apply!
LTH forms the Faculty of Engineering at Lund University, with approximately 9 000 students. The research carried out at LTH is of a high international standard and we are continuously developing our teaching methods and adapting our courses to current needs.
We kindly decline all sales and marketing contacts.