Are you interested in applying for a Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellowship? Explore our supervisors' Expressions of Interests as well as additional opportunities to collaborate with University of Split as your host institution. Please read the details below.
MSCA European Postdoctoral Fellowships are awarded for a duration of 12-24 months to researchers of any nationality who,
- are in possession of a doctoral degree
- have a maximum of 8 years full-time equivalent (FTE) experience in research,
- comply with the MSCA mobility rule, i.e. have not resided or carried out their main activity (work, studies, etc.) in Croatia for more than 12 months in the 36 months immediately prior the call deadline and
- have identified a supervisor at University of Split who is willing to host and supervise them.
If awarded, the Postdoctoral Fellowship grant covers the salary, a mobility allowance, family allowance (if eligible), and other allowances (if eligible) for the research fellow. The grant will also cover the research costs and overheads for University of Split.
How to apply?
UNIST supervisors have expressed their interest for Postdoctoral Fellows. The offers are listed below. Prospective candidates should send a Motivation Letter and CV to the corresponding supervisor, with Projects office (projekti@unist.hr) in copy, and subject line 'MSCA-PF-2024 candidate name'.
How to apply?
UNIST supervisors have expressed their interest for Postdoctoral Fellows. The offers are listed below. Prospective candidates should send a Motivation Letter and CV to the corresponding supervisor, with Projects office (projekti@unist.hr) in copy, and subject line 'MSCA-PF-2024 candidate name'.
- Curriculum Vitae (CV): include complete contact details, a comprehensive list of publications, projects, and other relevant academic endeavors. It should highlight your academic achievements and research expertise, with a particular focus on areas relevant to the project.
- Motivation Letter: detail your research and career interests and objectives, outline your project idea, demonstrating alignment with our research themes, and explain how your expertise will contribute to the project. Describe your motivation for applying to this call and your interest in joining our team.
Supervisor and candidates now also have the opportunity to use SEA-EU partners for secondments and for finding a second supervisor. Candidates can find Expression of Interest from our alliance partners at the following link: MSCA - Postdoctoral Fellowships 2024 - SEA-EU (sea-eu.org). Postdoctoral candidates can also identify potential supervisors by exploring existing Research groups at University of Split and University of Split Faculties and Departments.
Dont miss out
Dont miss out
- Supervisors can submit Expression of Interest for hosting postdoctoral researcher via this form.
- Info Session: Informational session on application process and the opportunities offered by MSCA-PF was held on April 30th. Download the presentation here.
- MSCA PF Master Class: Nord University is conducting a one-day training event for SEA-EU partners, the MSCA MasterClass, focusing on “How to Write a Successful MSCA Postdoctoral Fellowship Proposal.". Register here.
Expressions of interests by University of Split
Topic: Understanding research reproducibility
Main research field: Metaresearch / Evidence-based Medicine
Keywords: Research integrity, Research Ethics, Research reproducibility, Trustworthiness
Supervisor: Prof. Ana Marušić, MD, PhD (ana.marusic@mefst.hr)
Research group: https://mefst.unist.hr/research/research-groups-and-laboratories/science-and-society/5015
Faculty / Department: School of Medicine
About supervisor:
Professor Ana Marušić, MD, PhD
ORCiD: https://orcid.org/0000-0001-6272-0917
Ana Marušić is Professor of Anatomy, Chair of the Department of Research in Biomedicine and Health, and Head of the Center for Evidence-based Medicine at the University of Split School of Medicine. She got her MD and PhD degrees from the University of Zagreb School of Medicine, Croatia. She is an Honorary Professor at the University of Edinburgh in the UK. She also holds honorary doctorate from the University of Western Brittany in France. Prof. Marušić’s research interests include evidence-based medicine and research integrity. She has published 400 articles in peer-reviewed journals and was heavily involved with creating the policy of mandatory registration of clinical trials in public registries which helped change the legal regulation of clinical trials worldwide. She has participated in several EU projects related to research integrity and responsible research and innovation. Prof. Marušić is on the Steering Group of the EQUATOR Network and was the editor in chief of the Croatian Medical Journal and the Journal of Global Health. She is currently the Senior Editor-in-chief of ST-OPEN, overlay journal of the University of Split. She was the president of several editorial organizations: EASE, CSE, and WAME. She serves on the Council of the Committee on Publication Ethics (COPE), and as the president of The Embassy Foundation. She is also the member of the Croatian Reproducibility and Integrity Network, CroRIN
Check our recent book “A Guide to Responsible Research” - an open access guide for early career researchers on how to implement good research practices. https://link.springer.com/book/10.1007/978-3-031-22412-6. Prof. Marušić bibliography: https://www.ncbi.nlm.nih.gov/myncbi/1JK6Wfo3kSvkPO/bibliography/public/
Description:
The research group uses mixed methods research approach, using both quantitative and qualitative methodological tools, as well as artificial intelligence tool, including machine learning tools and big data analytics.
Research infrastructure and facilities:
All infrastructure for metaresearch
Main research field: Metaresearch / Evidence-based Medicine
Keywords: Research integrity, Research Ethics, Research reproducibility, Trustworthiness
Supervisor: Prof. Ana Marušić, MD, PhD (ana.marusic@mefst.hr)
Research group: https://mefst.unist.hr/research/research-groups-and-laboratories/science-and-society/5015
Faculty / Department: School of Medicine
About supervisor:
Professor Ana Marušić, MD, PhD
ORCiD: https://orcid.org/0000-0001-6272-0917
Ana Marušić is Professor of Anatomy, Chair of the Department of Research in Biomedicine and Health, and Head of the Center for Evidence-based Medicine at the University of Split School of Medicine. She got her MD and PhD degrees from the University of Zagreb School of Medicine, Croatia. She is an Honorary Professor at the University of Edinburgh in the UK. She also holds honorary doctorate from the University of Western Brittany in France. Prof. Marušić’s research interests include evidence-based medicine and research integrity. She has published 400 articles in peer-reviewed journals and was heavily involved with creating the policy of mandatory registration of clinical trials in public registries which helped change the legal regulation of clinical trials worldwide. She has participated in several EU projects related to research integrity and responsible research and innovation. Prof. Marušić is on the Steering Group of the EQUATOR Network and was the editor in chief of the Croatian Medical Journal and the Journal of Global Health. She is currently the Senior Editor-in-chief of ST-OPEN, overlay journal of the University of Split. She was the president of several editorial organizations: EASE, CSE, and WAME. She serves on the Council of the Committee on Publication Ethics (COPE), and as the president of The Embassy Foundation. She is also the member of the Croatian Reproducibility and Integrity Network, CroRIN
Check our recent book “A Guide to Responsible Research” - an open access guide for early career researchers on how to implement good research practices. https://link.springer.com/book/10.1007/978-3-031-22412-6. Prof. Marušić bibliography: https://www.ncbi.nlm.nih.gov/myncbi/1JK6Wfo3kSvkPO/bibliography/public/
Description:
The research group uses mixed methods research approach, using both quantitative and qualitative methodological tools, as well as artificial intelligence tool, including machine learning tools and big data analytics.
Research infrastructure and facilities:
All infrastructure for metaresearch
Topic: Search for new physics and development of new technologies with CMS experiment at the Large Hadron Collider
Main research field: High Energy Physics
Keywords: HGCAL, CMS, LHC, CERN, High Energy Physics, Elementary Particles, Higgs Boson
Supervisor: doc.dr.sc.Toni Sculac (tsculac@pmfst.hr)
Research group: CMS Split Group
Faculty / Department: Faculty of Science
About supervisor:
Associate professor Toni Sculac, PhD
In 2018, Toni Sculac was awarded a joint PhD title between University of Zagreb in Croatia and Ecole Polytechnique in France for his work on the measurements of Higgs boson properties in the golden decay channel with CMS experiment at the LHC. Since 2019, he is working as an assistant professor at the Faculty of Science in Split with scientific interests in Higgs boson physics, electron reconstruction and hardware development for the HGCAL upgrade project of the CMS experiment. He has made significant contributions to the electron reconstruction and identification measurements and has been a Higgs trigger contact from 2019 to 2020, as well as HZZ convener in the 2 year period following after. He has already successfully co-supervised one PhD thesis in collaboration with University of Bologna and is currently a PhD supervisor of 2 PhD students one in collaboration with Ecole Polytechnique and the other one with Riga Technical University. He is currently also coordinating efforts of the CMS Split group on the High-Granularity Calorimeter (HGCAL) upgrade project where the main focus of the group is the development of front-end and back-end electronics for the Trigger Primitive Generator and Data Acquisition data streams. Publications: https://inspirehep.net/authors/1358446
Description:
Our group is looking for a candidate with a PhD in experimental high energy physics where experience in hardware and firmware development is a strong benefit. The joint project proposal is expected to include analysis with Run 3 LHC data from the CMS experiment as well as developments of the back-end hardware for the Trigger Primitive Generator (TPG) of the High-Granularity Calorimeter (HGCAL). For the analysis part of the project, our group is one of the leading experts of the electron reconstruction and identification as well as Higgs boson properties measurements in the golden decay channel. This is possible thanks to our close collaboration with Laboratoire Leprince-Ringuet (LLR) in Paris, Johns Hopkins University, University of Torino, Riga Technical University, and several other CMS groups. While we do offer strong experience in the Higgs boson physics, potential candidate is also encouraged to propose any analysis topic of interest that doesn't have to be tightly connected with the previous expertise of our group. A strong support will be provided with potential new PhD students dedicating their time to this newly developed analysis. The second important part of the project should be the work on the design and testing of the TPG hardware and firmware. This work is done in close collaboration with engineers from Faculty of Electrical Engineering (FESB) in Split, LLR, and Imperial College. The potential candidate is expected to take a leading role in the design and testing of the back-end hardware and firmware, understanding both the needs from the side of physics performance as well as restrictions from the engineering side. The fellow is expected to be based in Split, but with several short-term stays at CERN as well as some of the mentioned parters, based on the needs. For more details feel free to contact us via email.
Research infrastructure and facilities:
The candidate will benefit from the research infrastructure of the CMS experiment at CERN. Office space will be provided together with all the administrative support of the Faculty of Science in Split. We can also help with the housing process and help in the beginning with all the documentation procedures in Croatia.
Main research field: High Energy Physics
Keywords: HGCAL, CMS, LHC, CERN, High Energy Physics, Elementary Particles, Higgs Boson
Supervisor: doc.dr.sc.Toni Sculac (tsculac@pmfst.hr)
Research group: CMS Split Group
Faculty / Department: Faculty of Science
About supervisor:
Associate professor Toni Sculac, PhD
In 2018, Toni Sculac was awarded a joint PhD title between University of Zagreb in Croatia and Ecole Polytechnique in France for his work on the measurements of Higgs boson properties in the golden decay channel with CMS experiment at the LHC. Since 2019, he is working as an assistant professor at the Faculty of Science in Split with scientific interests in Higgs boson physics, electron reconstruction and hardware development for the HGCAL upgrade project of the CMS experiment. He has made significant contributions to the electron reconstruction and identification measurements and has been a Higgs trigger contact from 2019 to 2020, as well as HZZ convener in the 2 year period following after. He has already successfully co-supervised one PhD thesis in collaboration with University of Bologna and is currently a PhD supervisor of 2 PhD students one in collaboration with Ecole Polytechnique and the other one with Riga Technical University. He is currently also coordinating efforts of the CMS Split group on the High-Granularity Calorimeter (HGCAL) upgrade project where the main focus of the group is the development of front-end and back-end electronics for the Trigger Primitive Generator and Data Acquisition data streams. Publications: https://inspirehep.net/authors/1358446
Description:
Our group is looking for a candidate with a PhD in experimental high energy physics where experience in hardware and firmware development is a strong benefit. The joint project proposal is expected to include analysis with Run 3 LHC data from the CMS experiment as well as developments of the back-end hardware for the Trigger Primitive Generator (TPG) of the High-Granularity Calorimeter (HGCAL). For the analysis part of the project, our group is one of the leading experts of the electron reconstruction and identification as well as Higgs boson properties measurements in the golden decay channel. This is possible thanks to our close collaboration with Laboratoire Leprince-Ringuet (LLR) in Paris, Johns Hopkins University, University of Torino, Riga Technical University, and several other CMS groups. While we do offer strong experience in the Higgs boson physics, potential candidate is also encouraged to propose any analysis topic of interest that doesn't have to be tightly connected with the previous expertise of our group. A strong support will be provided with potential new PhD students dedicating their time to this newly developed analysis. The second important part of the project should be the work on the design and testing of the TPG hardware and firmware. This work is done in close collaboration with engineers from Faculty of Electrical Engineering (FESB) in Split, LLR, and Imperial College. The potential candidate is expected to take a leading role in the design and testing of the back-end hardware and firmware, understanding both the needs from the side of physics performance as well as restrictions from the engineering side. The fellow is expected to be based in Split, but with several short-term stays at CERN as well as some of the mentioned parters, based on the needs. For more details feel free to contact us via email.
Research infrastructure and facilities:
The candidate will benefit from the research infrastructure of the CMS experiment at CERN. Office space will be provided together with all the administrative support of the Faculty of Science in Split. We can also help with the housing process and help in the beginning with all the documentation procedures in Croatia.
Topic: Arificial intelligence in precision agriculture
Main research field: Computer science
Keywords: Image processing, computer vision, deep learning
Supervisor: Prof. Vladan Papić, PhD (vpapic@fesb.hr)
Research group: Computer Intelligence in Recognition and Support of Human Activities (https://eng.fesb.unist.hr/research/group5/)
Faculty / Department: Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
About supervisor:
Professor Vladan Papić, PhD
Full professor with tenure at FESB, University of Split. Main research topics: computer vision, artificial intelligence, image processing, robotics, expert systems.
Author of more than 50 journal papers and 90 conference papers. Menthor of 5 PhD candidates with successfully defended thesis. Main researcher of project group Computer Intelligence in Rcognition and Support of Human Activities. Publications: https://www.researchgate.net/profile/Vladan-Papic, https://orcid.org/0000-0002-1873-6353
Description:
Development of a new method for assessing fruit maturity and expected yield. As part of this research, a new algorithm and deep neural network architecture proposal for the detection of small objects is expected. The algorithm will be used for the processing of images of olive trees in an olive grove collected by an unmanned aerial vehicle. As a pre-request for this, image database should formed and labeled. During this process, automated techniques for labeling should be investigated and used (active learning).
Research infrastructure and facilities:
Research group uses 3 laboratories: Laboratory for biomechanics, automatics and systems, Laboratory for expert systems, machine learning and image processing and Laboratory for distributed systems and software engineering. Labs are equipped with various devices for measurements in biomechanics (force plate, EMG, inertial sensors XSens) and image acquisition (camcorders, 3D cameras, high-speed cameras, …), as well as other devices for signal acquisition (sensor glove, accelerometers, Kinect). Also, labs are equipped with several UAVs, mobile robotic platforms (BlueROV2, Leo Rover, Mover6) , robotics sets (Arduino, NXT Mindstorm, Turtlebot) and several types of embedded computers.
Main research field: Computer science
Keywords: Image processing, computer vision, deep learning
Supervisor: Prof. Vladan Papić, PhD (vpapic@fesb.hr)
Research group: Computer Intelligence in Recognition and Support of Human Activities (https://eng.fesb.unist.hr/research/group5/)
Faculty / Department: Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
About supervisor:
Professor Vladan Papić, PhD
Full professor with tenure at FESB, University of Split. Main research topics: computer vision, artificial intelligence, image processing, robotics, expert systems.
Author of more than 50 journal papers and 90 conference papers. Menthor of 5 PhD candidates with successfully defended thesis. Main researcher of project group Computer Intelligence in Rcognition and Support of Human Activities. Publications: https://www.researchgate.net/profile/Vladan-Papic, https://orcid.org/0000-0002-1873-6353
Description:
Development of a new method for assessing fruit maturity and expected yield. As part of this research, a new algorithm and deep neural network architecture proposal for the detection of small objects is expected. The algorithm will be used for the processing of images of olive trees in an olive grove collected by an unmanned aerial vehicle. As a pre-request for this, image database should formed and labeled. During this process, automated techniques for labeling should be investigated and used (active learning).
Research infrastructure and facilities:
Research group uses 3 laboratories: Laboratory for biomechanics, automatics and systems, Laboratory for expert systems, machine learning and image processing and Laboratory for distributed systems and software engineering. Labs are equipped with various devices for measurements in biomechanics (force plate, EMG, inertial sensors XSens) and image acquisition (camcorders, 3D cameras, high-speed cameras, …), as well as other devices for signal acquisition (sensor glove, accelerometers, Kinect). Also, labs are equipped with several UAVs, mobile robotic platforms (BlueROV2, Leo Rover, Mover6) , robotics sets (Arduino, NXT Mindstorm, Turtlebot) and several types of embedded computers.
Topic: Matrix algorithms
Main research field: Numerical linear agebra in standard commutative fields of real and complex numbers, as well in the noncommutative field of quaternions.
Keywords: Designs of fast and reliable matrix algorithms and application in image processing, data mining and AI.
Supervisor: Professor Ivan Slapničar (ivan.slapnicar@fesb.hr)
Research group: https://research.sea-eu.ug.edu.pl/research-group/404/group-numerical-mathematics
Faculty / Department: Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
About supervisor:
Prof. Ivan Slapničar is a distinguished mathematician with an extensive career focused on research and education in mathematics. He completed his B.Sc. in Mathematics in 1984 and M.Sc. in 1989, both at the University of Zagreb, Croatia. He then achieved his doctoral degree (Dr. rer. nat.) summa cum laude in Mathematics from Fernuniversitaet Hagen, Germany, in 1992. Prof. Slapničar has been a pivotal figure at the University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture (FESB), where he started as a Teaching Assistant and progressed through various academic ranks. Since 2008, he has been serving as a Full Professor, permanent, in Mathematics. His research has been generously funded by multiple grants from the Croatian Science Foundation (HRZZ) and other sources. He has led projects focusing on matrix algorithms in noncommutative associative algebras and the optimization of parameter-dependent mechanical systems, among others. His works have contributed significantly to the fields of applied mathematics and computational algorithms. Prof. Slapničar has been recognized with numerous awards, including a prestigious Fulbright-Schuman International Educator Grant at MIT in 2014 and the Preis zur Förderung junger Wissenschaftler der Fernuniversität Hagen in 1992. He was also a recipient of the EU FP7 People “Marie Curie” IEF at TU Berlin. An active member of various mathematical societies such as the Croatian Mathematical Society, SIAM, and ACM, Prof. Slapničar regularly contributes to the academic community through conference participation, organization, and journal review. He has organized a series of biannual workshops IWASEP and has been invited to numerous international conferences and institutions, demonstrating his global influence in the mathematical sciences. His recent publications include significant contributions to journals such as IEEE Access and SIAM Journal on Matrix Analysis and Applications, covering topics from multi-label confusion tensors to matrix decomposition methods. His book chapter "Symmetric matrix eigenvalue techniques" in the Handbook of Linear Algebra is among his best career publications. Overall, Prof. Slapničar's career is marked by his dedication to advancing mathematical research and education, making substantial impacts in the scientific community both locally and internationally. Publications: https://orcid.org/0000-0002-8741-3988, https://www.researchgate.net/profile/Ivan-Slapnicar
Research infrastructure and facilities:
Offices with computer and high speed internet connection. Access to high performance computers through University Computing Center in Zagreb (SRCE).
Main research field: Numerical linear agebra in standard commutative fields of real and complex numbers, as well in the noncommutative field of quaternions.
Keywords: Designs of fast and reliable matrix algorithms and application in image processing, data mining and AI.
Supervisor: Professor Ivan Slapničar (ivan.slapnicar@fesb.hr)
Research group: https://research.sea-eu.ug.edu.pl/research-group/404/group-numerical-mathematics
Faculty / Department: Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
About supervisor:
Prof. Ivan Slapničar is a distinguished mathematician with an extensive career focused on research and education in mathematics. He completed his B.Sc. in Mathematics in 1984 and M.Sc. in 1989, both at the University of Zagreb, Croatia. He then achieved his doctoral degree (Dr. rer. nat.) summa cum laude in Mathematics from Fernuniversitaet Hagen, Germany, in 1992. Prof. Slapničar has been a pivotal figure at the University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture (FESB), where he started as a Teaching Assistant and progressed through various academic ranks. Since 2008, he has been serving as a Full Professor, permanent, in Mathematics. His research has been generously funded by multiple grants from the Croatian Science Foundation (HRZZ) and other sources. He has led projects focusing on matrix algorithms in noncommutative associative algebras and the optimization of parameter-dependent mechanical systems, among others. His works have contributed significantly to the fields of applied mathematics and computational algorithms. Prof. Slapničar has been recognized with numerous awards, including a prestigious Fulbright-Schuman International Educator Grant at MIT in 2014 and the Preis zur Förderung junger Wissenschaftler der Fernuniversität Hagen in 1992. He was also a recipient of the EU FP7 People “Marie Curie” IEF at TU Berlin. An active member of various mathematical societies such as the Croatian Mathematical Society, SIAM, and ACM, Prof. Slapničar regularly contributes to the academic community through conference participation, organization, and journal review. He has organized a series of biannual workshops IWASEP and has been invited to numerous international conferences and institutions, demonstrating his global influence in the mathematical sciences. His recent publications include significant contributions to journals such as IEEE Access and SIAM Journal on Matrix Analysis and Applications, covering topics from multi-label confusion tensors to matrix decomposition methods. His book chapter "Symmetric matrix eigenvalue techniques" in the Handbook of Linear Algebra is among his best career publications. Overall, Prof. Slapničar's career is marked by his dedication to advancing mathematical research and education, making substantial impacts in the scientific community both locally and internationally. Publications: https://orcid.org/0000-0002-8741-3988, https://www.researchgate.net/profile/Ivan-Slapnicar
Research infrastructure and facilities:
Offices with computer and high speed internet connection. Access to high performance computers through University Computing Center in Zagreb (SRCE).
Topic: Development-induced Mitophagy
Main research field: Molecular and cellular biology, biochemistry
Keywords: Autophagy, mitophagy, mitochondria, cell signalling, cellular regulation
Supervisor: prof. dr. sc. Ivana Novak Nakir (ivana.novak@mefst.hr)
Research group: https://mefst.unist.hr/research/research-groups-and-laboratories/laboratory-for-cancer-research/hrzz-mitoreg/2277
Faculty / Department: School of Medicine
About supervisor:
"Prof. Ivana Novak Nakir graduated molecular biology at the University of Zagreb, Faculty of Science (2001), and completed her PhD in functional genomics at Karolinska Institutet in Stockholm, Sweden (2006). During her postdoctoral training, she was awarded a prestigious EMBO Long term fellowship for the work in Prof. Ivan Đikić laboratory. She has been working as a professor at the University of Split School of Medicine since 2011. Since 2015. she has been a PI whose research is financed by the Croatian Science Foundation (HRZZ) through an installation grant and now a research grant. During her postdoc, she discovered and characterized the first ever Mitophagy receptor BNIP3L/NIX. The work was published in EMBO Reports in 2011. and has been cited more than 1000 times. As an independent group leader, she continued to focus on development-induced mitophagy. In 2021. she published a paper in Autophagy journal that focuses on a detailed analysis of BNIP3L/NIX mitophagy receptor regulation in mammalian cells. Her total number of publications is 22, h-index 18, and her work has been in total cited more than 7500 times. She has recently been awarded with the Annual Republic of Croatia State Prize for Science for 2021. She mentored many diploma, master, and PhD students as well as postdocs. She is regularly invited as a speaker at conferences. Moreover, she is an editor at FEBSOpenBio and a regular reviewer for many prestigious journals as well as Croatian Science Foundation projects. Publications: https://orcid.org/0000-0003-0682-7052, https://www.researchgate.net/profile/Ivana-Novak-2
Description:
Our group is intensively studying development-induced mitophagy with a special interest in erythrocyte maturation. We have described the first-ever mitophagy receptor BNIP3L/NIX and showed its importance in removal of mitochondria during erythropoiesis. Currently, we are deciphering the role of kinases and phosphatases in the regulation of BNIP3L/NIX and its recruitment of autophagy machinery. We are studying this process in cultured cells using molecular and cellular biology and biochemistry techniques. We also collaborate with labs in Switzerland to investigate our phenomena in mouse models.
Research infrastructure and facilities:
Cellular and molecular biology techniques, biochemical methods (DNA and protein electrophoresis, western blot, cell culture, protein pull down, immunoprecipitation, flow cytomentry, fluorescence microscopy, qPCR, cloning, bacterial expression, Crispr/Cas9 in cultured cells, microscale thermophoresis (MST), mouse as a model organism, ...)
Main research field: Molecular and cellular biology, biochemistry
Keywords: Autophagy, mitophagy, mitochondria, cell signalling, cellular regulation
Supervisor: prof. dr. sc. Ivana Novak Nakir (ivana.novak@mefst.hr)
Research group: https://mefst.unist.hr/research/research-groups-and-laboratories/laboratory-for-cancer-research/hrzz-mitoreg/2277
Faculty / Department: School of Medicine
About supervisor:
"Prof. Ivana Novak Nakir graduated molecular biology at the University of Zagreb, Faculty of Science (2001), and completed her PhD in functional genomics at Karolinska Institutet in Stockholm, Sweden (2006). During her postdoctoral training, she was awarded a prestigious EMBO Long term fellowship for the work in Prof. Ivan Đikić laboratory. She has been working as a professor at the University of Split School of Medicine since 2011. Since 2015. she has been a PI whose research is financed by the Croatian Science Foundation (HRZZ) through an installation grant and now a research grant. During her postdoc, she discovered and characterized the first ever Mitophagy receptor BNIP3L/NIX. The work was published in EMBO Reports in 2011. and has been cited more than 1000 times. As an independent group leader, she continued to focus on development-induced mitophagy. In 2021. she published a paper in Autophagy journal that focuses on a detailed analysis of BNIP3L/NIX mitophagy receptor regulation in mammalian cells. Her total number of publications is 22, h-index 18, and her work has been in total cited more than 7500 times. She has recently been awarded with the Annual Republic of Croatia State Prize for Science for 2021. She mentored many diploma, master, and PhD students as well as postdocs. She is regularly invited as a speaker at conferences. Moreover, she is an editor at FEBSOpenBio and a regular reviewer for many prestigious journals as well as Croatian Science Foundation projects. Publications: https://orcid.org/0000-0003-0682-7052, https://www.researchgate.net/profile/Ivana-Novak-2
Description:
Our group is intensively studying development-induced mitophagy with a special interest in erythrocyte maturation. We have described the first-ever mitophagy receptor BNIP3L/NIX and showed its importance in removal of mitochondria during erythropoiesis. Currently, we are deciphering the role of kinases and phosphatases in the regulation of BNIP3L/NIX and its recruitment of autophagy machinery. We are studying this process in cultured cells using molecular and cellular biology and biochemistry techniques. We also collaborate with labs in Switzerland to investigate our phenomena in mouse models.
Research infrastructure and facilities:
Cellular and molecular biology techniques, biochemical methods (DNA and protein electrophoresis, western blot, cell culture, protein pull down, immunoprecipitation, flow cytomentry, fluorescence microscopy, qPCR, cloning, bacterial expression, Crispr/Cas9 in cultured cells, microscale thermophoresis (MST), mouse as a model organism, ...)
