PhD in Machine Learning and Statistical Mechanics with applications in climate
Please find below two announcements for PhD grants in Machine Learning and Statistical Mechanics with applications in climate dynamics. The two projects will use new extremely efficient algorithms to compute rare events. The aim is to couple those algorithms with machine learning approches. One subject deals with the prediction of abrupt climate change, the other to extreme events with climate impact.
Both grants are within European ITN project with excellent salary conditions and networking opportunities.
15 PhD Announcements for the CriticalEarth ITN
Please find below a link to 15 PhD projects that are currently being advertised as part of the new Horizon 2020 Marie Skłodowska-Curie Actions, Innovative Training Network (ITN) called CriticalEarth that Peter Ditlevsen will be leading from UCPH in collaboration with a strong network of beneficiaries and partners. Please feel free to share to any qualified candidates in the fields of climate dynamics, climate theory, applied mathematics, statistical mechanics etc.
Click here for positions: https://www.criticalearth.eu/climate/
Some of the PhD adverts are open for applications and the remaining positions will be posted online within the next month. You can see status of each PhD via the link, including the title, location and brief overview of objectives.
CriticalEarth will officially begin on March 1st and will have a close relationship with TiPES. The 3-year PhD Fellowships will start between March and the end of September 2021 and successful applicants will form a network of 15 PhD Fellows (or “early stage researchers”, as referred to by the EU), trained to research new methods for assessing the mechanisms and associated risks of critical transitions in the climate. The focus will be on investigating how complex mathematics can be used to predict and avoid irreversible climate change. The positions will offer candidates an excellent background, working within a strong, cross-disciplinary network among leading universities and research institutions across Europe and with contacts to industry, governmental- and non-governmental institutions.
*Applicants should hold an MSc degree in a relevant field with great results and good English skills.
*Because the aim of EU ITN projects is to attract candidates from worldwide locations,applicants must not have resided and not have carried out their main activity (work, studies, etc.) in the country of the recruiting beneficiary for more than 12 months in the 3 years immediately before the recruitment date – unless as part of a procedure for obtaining refugee status under the Geneva Convention. If candidates are applying from a location that requires a visa or permit, then the university/institute responsible for the PhD will provide support and advice throughout the process of relocation.
*The applicant must be an Early Stage Researcher (ESR) i.e. at the time of recruitment they must be in the first 4 years (full-time equivalent research experience) of their research careers and must not have been awarded a doctoral degree.
Please let me know if you have any questions.
Dr Eliza CookAssist. Prof.
Physics of Ice, Climate and Earth (PICE)
Niels Bohr InstituteKøbenhavns Universitet Copenhagen, Denmark
PhD opportunity in ocean modeling
Universität Hamburg, Germany, invites applications for a PhD position in theoretical oceanography.
The advertised position will focus on internal wave energetics and parameterizations of wave-induced turbulent mixing in ocean general circulation models, in particular, the IDEMIX (Internal WaveDissipation, Energy and MIXing) concept. Specific tasks include the extensions of the IDEMIX model, the comparison of existing model versions, and the evaluation against observational data (https://www.trr-energytransfers.de/research/area-w/w4).
As part of the collaborative research center “TRR 181: Energy transfers in atmosphere and ocean”, the successful candidate will benefit from the strong collaboration with partner institutions, dedicated training courses, and ample opportunity for (international) networking.
Please see the following link for further details:
Dr. Friederike Pollmann
Center for Earth System Research and Sustainability
Institute of Oceanography
Cambridge Met Office CASE PhD project on the signal-to-noise problem in weather and climate prediction
I am seeking good candidates with applied mathematics/physics backgrounds for a CASE PhD project with the Met Office on the signal-to-noise problem in weather and climate prediction to commence in October 2021. The project is one of a large range on offer through the C-CLEAR NERC DTP (and is identified by the DTP as a ‘Priority CASE Project’). Students selected for the DTP received fully funded 3.5 year studentships.
More details at:
The final deadline / closing date for C-CLEAR DTP applications is 12:00 pm (noon) GMT, Thursday 7 January 2021.
Potential applicants are very welcome to email me for further information.
Professor Peter Haynes,
Department of Applied Mathematics and Theoretical Physics,
University of Cambridge,
Centre for Mathematical Sciences,
Wilberforce Road, Cambridge CB3 0WA, UK.
PhD student opportunity: Mathematical modeling of ecological processes across multiple time scales
I am advertising a unique job opportunity for a student to work alongside an international research team on the project “Models of eco-evolutionary dynamics of population interaction networks.” During this fully-funded 3-year assignment, the student will receive training while working to develop mathematical models that integrate ecological/epidemiological processes at the behavioral, population, and evolutionary time scales. Eligible students will have completed their Master’s degree (preferably in Mathematics, Applied Mathematics, or related fields) but not a Ph.D. by October 2021.
Ted Galanthay, PhD
Department of Mathematics
Willias Hall 402A
953 Danby Road
Fully-funded PhD Opportunity – Mathematical and computational modelling of marine viruses and the global carbon cycle
We are offering a fully-funded PhD opportunity to work on the project “Mathematical and computational modelling of the impact of viral infection of oceanic phytoplankton on the global carbon cycle”. This is a very exciting opportunity for talented and highly motivated applied and computational mathematicians seeking to launch a career in environmental sciences and oceanography. No prior knowledge on ocean biogeochemistry is required, though a willingness and genuine interest in learning the subject is required (training will be provided).
This is a fully-funded (3.5 years) PhD opportunity offered through the INSPIRE NERC CDT. Both UK and International (EU and Overseas) students are eligible for a full scholarship.
Deadline for applications: 4th January 2021.
Further information on the project can be found at the links below:
For details on the application process, see the INSPIRE CDT page at: https://inspire-dtp.ac.uk/
If you have any questions, please do not hesitate to contact me.
Dr Francisco de Melo Virissimo | Research Scientist in Oceanography
National Oceanography Centre, European Way, Southampton, SO14 3ZH
t: +44 (0)23 8059 6380 | w: https://noc.ac.uk/people/virissimo
PhD Position at Uni Bremen
Applications are invited for a PhD position funded by the collaborative
research center “Energy transfers in ocean and atmosphere”,
The project concerns qualitative analysis of large scale models for
geophysical flow in the context of the research center.
The PhD student will be part of Applied Analysis group at the Faculty
of Mathematics at Uni Bremen supervised by Jens Rademacher.
Details can be found at: https://www.uni-bremen.de/appanalysis/
Deadline for applications is Dec 28 2020.
Open PhD Position at Universitaet Hamburg
In the Context of the Collaborative Research Center TRR181 “Energy Transfers in Atmosphere and Ocean“ there is still an open PhD position in my group (www.math.uni-hamburg.de/en/numgeo/) with the topic
Systematic Multi-Scale Modelling and Analysis for Geophysical Flows
Applications are invited until December 21, 2020. Please have a look at the official opening https://www.uni-hamburg.de/uhh/stellenangebote/wissenschaftliches-personal/fakultaet-mathematik-informatik-und-naturwissenschaften/21-12-20-434-en.pdf
Further open positions can be found at https://www.trr-energytransfers.de/jobs.
Thank you and stay healthy.
Prof. for Numerical Methods in Geosciences
3-year Postdoctoral Position in Social Justice and Data Science at UCLA (in the Mathematics and Statistics Department)
The Departments of Mathematics and Statistics at UCLA are now advertising a 3-year postdoctoral position in Social Justice and Data Science.
Description of the position and to apply, go here: https://recruit.apo.ucla.edu/JPF06005
The application deadline is 31 December.
A tweet for easy sharing: https://twitter.com/masonporter/status/1333595450989891584
A brief description: The Department of Mathematics and Department of Statistics at the University of California, Los Angeles invite applications for a three-year position as an Assistant Adjunct Professor in Social Justice and Data Science.
This Social-Justice Data-Science (SJDS) scholar position, which will be appointed in either the Mathematics or Statistics department, is based on a dual-mentor system whereby the scholar has a mentor in either Mathematics or Statistics and a second mentor who is a social-justice scholar from another campus unit (see https://datatheory.ucla.edu/social_justice.html). The SJDS scholar will address social-justice questions via empirical research or analysis, with a preference for the study of inequity and disparities in the Los Angeles region. This position is open to scholars from all disciplines (but who possess or will possess a Ph.D. that is grounded in data science by the time of appointment). Applicants should also show evidence of excellence in teaching and research.
The expected teaching load for this position is four one-quarter courses per year. This is expected to include both mathematics and/or statistics courses from the existing curriculum and also courses related to SJDS and in the candidates field of expertise.
Lecturer/Senior Lecturer in Numerical Analysis and/or Scientific Computing
Imperial College London – Department of Mathematics
I am writing to send you a link to a new job advert for a permanent position in numerical analysis and/or scientific computing that includes strong interdisciplinary links to topics in the Mathematics of Planet Earth.
Dan Crisan, E-mail: firstname.lastname@example.org
Imperial College London
Post-doc Position at LSU
Louisiana State University is seeking applications for a 2-year post-doctoral position in computational coastal and riverine engineering. The appointee will be a member of the Department of Civil and Environmental Engineering and the interdisciplinary Center for Computation and Technology. The position is supported by the university-wide commitment to advancing coastal science and engineering, which spans multiple departments, centers, and institutes (www.lsu.edu/coast).
The successful candidate will conduct basic research and development on two- and three-dimensional computational models of hydrodynamic flow, waves, and processes, as well as their interaction with structures of critical concern to projects along the Gulf Coast and Mississippi River Valley. The ultimate goal of the post-doc is to make fundamental contributions to the next generation of coastal modeling software, including the accurate and efficient representation of sediment morphodynamics, vegetation, nonlinear waves, and infrastructure across a range of scales.
Prior experience and strong motivation to continue work in several of the following areas is highly desirable:
- Multiphase fluid mechanics
- Sediment and soil mechanics
- Nonlinear water waves
- Finite element methods for computational fluid and wave dynamics
- Discrete element methods for granular materials
- High performance computing
- Software development in C++ and Python
- Digital twins and model reduction
The successful candidate will be expected to help lead development of the open source Proteus toolkit for computational methods and simulation (https://proteustoolkit.org) by writing code, mentoring graduate and undergraduate students at LSU, and collaborating with developers and users of Proteus from outside organizations, including federal laboratories, universities, and consultancies.
PhD Opportunity at Universität Hamburg (internal gravity waves/ocean modeling)
Universität Hamburg invites applications for a PhD position in theoretical oceanography. We are looking for a candidate with strong analytical and programming skills, who is interested in applying them to geoscience problems. The position will tackle internal gravity wave energetics with a focus on theory and numerical modeling and the overall goal of improving energy consistency in numerical ocean models. The project is part of the collaborative research center “TRR 181: Energy transfers in atmosphere and ocean”. Application deadline is Dec., 13th.
and for details about the project https://www.trr-energytransfers.de
MIT Faculty Position in Computing for Health of the Planet
The Massachusetts Institute of Technology (MIT) Department of Mechanical Engineering together with the Schwarzman College of Computing (SCC) seeks candidates for tenure-track faculty positions in Computing for Health of the Planet to start July 1, 2021 or on a mutually agreed date thereafter. The search is for candidates to be hired at the assistant professor level; under special circumstances, however, an untenured associate or senior faculty appointment is possible, commensurate with experience.
The Health of the Planet is one of the most important challenges facing humankind today. The need for a sustainable planet demands integrated research efforts that develop novel fundamental modeling, computation, machine learning and AI methods with technological innovation. Ocean systems are particularly important and in need of both fundamental research and development of breakthrough solutions. A creative mens et manus approach is essential to ensure the health and security of our oceans and environment.
We seek candidates who have expertise in computing and data-driven science and engineering, and can apply it to:
- Develop integrated systems using smart sensors and physics-informed machine learning.
- Explore, utilize, and protect our environment and oceans.
- Conduct fundamental and applied research in sensing, acoustics, communications, signal processing, control, autonomy, sea-level and climate change mitigation, environmental hazards, environmental risk assessment, among others.
- Use data for estimation, prediction or control relevant to sustainable mobility, autonomous vehicles, sea transports, and ocean environments and coastal structures.
- Provide usable water, resilient food, and sustainable energy (e.g., desalination, water management, sustainable aquaculture, food security, wind and ocean renewable energy, low emission propulsion) using data-driven models and AI-embedded engineering.
Candidates should contribute to interdisciplinary research in environmental and ocean science and engineering such as marine robotics, sensing, structures, physics, acoustics, ecosystems, food, desalination, and renewable energy with fundamental expertise in one or more of these areas: learning for dynamics, nonlinear dynamical systems, computational modeling, physics-informed machine learning, high dimensional statistics, science of autonomy, intelligent systems, smart sensing, computing devices, decision theory, risk analysis, and data-driven science and engineering.
The Department of Mechanical Engineering and the Schwarzman College of Computing are committed to fostering interdisciplinary research that can address grand challenges facing our society. We seek candidates who will provide inspiration and leadership in research, contribute proactively to both undergraduate and graduate level teaching in the Mechanical Engineering department and SCC and add to the diversity of the academic community. The successful candidate would have a shared appointment in both the Department of Mechanical Engineering and also the Schwarzman College of Computing, in either the Department of Electrical Engineering and Computer Science (EECS), or in the Institute for Data, Systems, and Society (IDSS).
Faculty duties include teaching at the undergraduate and graduate levels, advising students, conducting original scholarly research and developing course materials at the undergraduate and graduate levels. Prior to the start of the appointment, candidates must hold a Ph.D. in a field related to Engineering, Physics, Data Science, Computer Science, or Applied Mathematics or a similar discipline by the beginning of employment.
In addition to this search, the Mechanical Engineering department has positions available broadly in mechanical engineering: http://meche.mit.edu/faculty-positions.
Applications must include a cover letter, curriculum vitae, 2–3 page statement of research and teaching interests and goals. In addition, candidates should provide a statement regarding their views on diversity, inclusion, and belonging, including past and current contributions as well as their vision and plans for the future in these areas. They should also provide copies of no more than three publications. They should also arrange for four individuals to submit letters of recommendation on their behalf. This information must be entered electronically at the following site: https://school-of-engineering-faculty-search.mit.edu/meche-scc by December 1, 2020 when review of applications will begin.
MIT is an equal-opportunity/affirmative action employer. Women and underrepresented minorities are especially encouraged to apply.
University of Pittsburgh postdoc position
The Department of Mathematics at the University of Pittsburgh (Oakland campus) invites applications for a Postdoctoral Fellow to work with Professor Jonathan Rubin for 1.5 years, with possible extension, starting in August 2021. Applications may be submitted at: https://www.mathjobs.org/jobs/fellowship/16765
The research area is flexible, but the main directions of interest include multiple timescale dynamics and the modeling and analysis of network dynamics in biology with a focus on (but not restricted to) neuroscience. Candidates should have a strong background in dynamical systems and some expertise in computation such as with Python, MATLAB, AUTO or XPP. Candidates may be expected to participate in discussions with experimentalists and analysis of data as part of their research. Responsibilities include teaching one course per semester, participating in research seminars, and the possible mentoring of undergraduate students.
Pittsburgh is a medium-sized city with a relatively low cost of living and many of the amenities and cultural opportunities of a larger city. The neuroscience community in Pittsburgh is broad and diverse, with more than 100 faculty members affiliated with the Center for Neuroscience at the University of Pittsburgh and the joint Pitt-Carnegie Mellon University Center for the Neural Basis of Cognition.
Completion of a Ph.D. degree in mathematics or a closely related field is required prior to the start of appointment. Applicants should have some form of experience teaching in mathematics.
A complete application consists of: (1) curriculum vitae including courses taught and list of programming skills, (2) statement of research interests, (3) at least two letters of recommendation, and (4) a cover letter for the application briefly commenting on fit for the position and evidence of commitment to diversity and inclusion. Any additional relevant supporting material submitted will be considered by Professor Rubin. Application review will begin in December 2020 and will continue until the position is filled.
The Dietrich School of Arts and Sciences is committed to fostering a diverse, inclusive environment. The University of Pittsburgh is an Affirmative Action, Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. Members of all groups under-represented in academia are especially encouraged to apply.
Jonathan Rubin, Professor and Chair, Department of Mathematics, University of Pittsburgh
Job Openings in Geochemical Data Science
Three positions (2 PostDoc, 1 PhD) are available in the new “Digital Geochemical Data Infrastructure” (DIGIS) research group at the University of Göttingen, supported by a cluster of four research projects funded through DFG (German Research Foundation).
PhD positions at the University of Colorado Boulder Applied Math Dept
The Applied Mathematics Department at CU Boulder invites students to apply to our Applied Math PhD program; the deadline is Dec 1, and further details are at https://www.colorado.edu/amath/academics. The research interests of the department span a wide range of fields including statistics, physical applied math, math bio, differential equations and machine learning. The department was ranked in the top 15 applied math departments by the most recent US News & World Report rankings. Our researchers collaborate with many departments at CU as well as with government labs in the area (National Institute of Technology, National Oceanic and Atmospheric Administration, National Center for Atmospheric Research, National Renewable Energy Lab) and institutes (Laboratory for Atmospheric and Space Physics, etc.). Boulder itself was just rated the #1 place to live in the country by US News and World Report.
The department will host a virtual PhD information session on Tuesday, November 10th (12pm-1pm MST, 19:00 to 20:00 UTC). We invite prospective applicants to join us and learn more about pursuing a PhD in Applied Mathematics at CU Boulder. The information session will begin with an introduction by the Graduate Program Chair, Associate Professor Will Kleiber, and Assistant Professor, Nancy Rodriguez. The second half of the session will feature a panel of current PhD students for additional Q&A. Interested applicants can register for the session using the following link:
If you have questions about the information session or the PhD program in general, please email Laura Gooch at email@example.com.
Tenure Track Position at Clarkson University
The Department of Mathematics at Clarkson University invites applications for a tenure track faculty position which starts on August 1, 2021. Hiring at the Assistant Professor level is the expectation, but other ranks may be considered. The Department is expected to make one or two hires based on this applicant pool.
Clarkson University is a nationally recognized research university with signature areas of academic excellence and research directed toward the world’s pressing issues. With more than 4,300 undergraduate and graduate students, its main campus is located in Potsdam, N.Y., and additional graduate program and research facilities are located in the Capital Region and Beacon, N.
Clarkson expects candidates to excel as both teachers and researchers while making clear collegial contributions to the operation of the department. We seek exceptionally qualified applicants with expertise in applied statistics, applied data science, mathematical modeling, dynamical systems, biomathematics, financial mathematics, applied optimization, or as otherwise contributes to existing departmental strengths.
Clarkson encourages interdisciplinary research among its faculty and the Math Department has an especially strong tradition of collaborative work with other departments. Candidate who extend and enrich that collaborative tradition will find this environment to be particularly productive.
We expect the successful candidate to become an excellent teacher across a broad spectrum of courses at both the undergraduate and graduate levels. One departmental goal in this hiring cycle is to grow our teaching capacity in the area of statistics or related data science application fields.
Deadline: Review of applications will begin immediately. The formal application process remains open until filled, however applications completed before 5 December 2020 will be given full consideration.
Applications must be submitted via www.clarkson.edu/hr , and must include 1) a cover letter stating area of interest, 2) curriculum vitae, 3) teaching statement, 4) research statement, and 5) diversity statement; and, 6) list of references.
An equal opportunity /affirmative action employer, Clarkson actively seeks and encourages applications from minorities, women and people with disabilities.
Assistant Professor of Teaching in Quantitative Biology at UC Davis
The University of California, Davis invites applications for an Assistant Professor of Teaching position in quantitative biology education. Professors of Teaching are Academic Senate faculty members whose expertise and responsibilities center on undergraduate education and scholarly analysis and improvement of teaching methods. The official title is Lecturer with the Potential for Security of Employment (LPSOE). LPSOEs are eligible for promotion to “Security of Employment,” which is analogous to tenure. The position will reside in the Department of Evolution and Ecology and be affiliated with the planned interdisciplinary major in Quantitative Biology, which seeks to serve as a national model for quantitative biology education. The appointee will be expected to carry out a high-level teaching program focused on the development of innovative curricula and use of effective teaching methods in quantitative biology. The appointee also will be expected to conduct scholarly research, which for this position is expected to include rigorous development and assessment of teaching methods and curricula in quantitative biology. The appointee will teach four undergraduate courses per year, including Mathematics or Statistics courses enrolling biology students. The appointee will also provide service to the planned Quantitative Biology major and the Department of Evolution and Ecology. Service expectations include, but are not limited to, undergraduate quantitative biology curriculum development, administration, and assessment, as well as outreach activities promoting the planned Quantitative Biology major. Academic scholarship expectations include dissemination of educational findings at a national level through peer-reviewed publications and conference presentations, and the potential to attract extramural funding to support this scholarship. In addition, the appointee should be committed to mentoring and fostering diversity, equity, and inclusion.
UC Davis, located approximately one hour from the San Francisco Bay area, has a large and highly collaborative community of Teaching Professors within the College of Biological Sciences and throughout the larger campus, a strong history of interdisciplinary educational initiatives in STEM fields, and a nationally renowned Center for Educational Effectiveness that together provide an excellent environment for work in quantitative biology education.
To ensure full consideration, completed applications should be received by November 30, 2020.
For more details and to apply, please go to https://recruit.ucdavis.edu/JPF03860
Graduate Research Assistant
I welcome applications to fill a Graduate Research Assistant position (MS or PhD) to work on a funded project in collaboration with University of Central Florida, University of New Mexico, and Denison University. The student will be involved in the development of numerical models for the evolution of fluvio-deltaic environments. A key novel aspect of these forward numerical models is that it applies numerical techniques from heat transfer, particularly from free and moving boundary problems. We will validate numerical modeling results against data from laboratory flume experiments and real fluvio-deltaic systems.
Detailed program information and application procedure can be obtained from the following program websites:
Feel free to contact me with any questions about the research project or the application process. To apply informally, send a letter of interest, a copy of your unofficial transcripts, and curriculum vitae.
Doctoral positions in Applied Math/Geophysical Fluid Dynamics
At Jacobs University, within the collaborative research center TRR 181 “Energy Transfers in Atmosphere and Ocean”, we have four doctoral positions in Applied Mathematics/Geophysical Fluid Dynamics coming up over the next few months. Most of the funding is still contingent upon approval by the German Research Foundation, but due to Corona-related interim financing, we are able to start filling positions as early as July 1.
A full announcement can be found here.
Postdoc Position at Berkeley Lab in Ice Sheet Modeling
Berkeley Lab’s Computational Research Division has an opening for a Postdoctoral Scholar to work on the BISICLES Ice Sheet Model.
The Applied Numerical Algorithms Group (ANAG), in partnership with the Universities of Bristol and Swansea in the UK, is a home of BISICLES, an open-source adaptive mesh refinement (AMR) ice sheet model under development as a part of the U.S. Department of Energy-funded ProSPect SciDAC partnership. You will join an interdisciplinary team of scientists and engineers in extending the current BISICLES capabilities while applying the model to a range of idealized and realistic problems.
ANAG develops advanced numerical algorithms and software for partial differential equations integrated with the application of the software to problems of independent scientific and engineering interest. The primary focus of our work is in the development of high-resolution and adaptive finite difference methods for partial differential equations in complex geometries with applications to DOE-mission applications including porous media flows, magnetohydrodynamics, industrial problems, climate, and fusion energy.
Details, including how to apply, can be found here.
Editor Position, Applied Math/Physics, Nature Computational Science
Nature Computational Science, a new journal from Nature Research launching January 2021, is currently looking for an Associate or Senior Editor with expertise in Applied Mathematics and/or Physics to join the editorial team.
For information about the job position and to apply, you can use this link.
Postdoc and PhD Positions at the University of Göttingen
The newly founded group ‘Computational Geoscience’ at the Geoscience Centre at University of Göttingen invites applications for the following positions:
Postdoc Position for Data-intensive Methods for the Geosciences
You received your PhD on a geoscientific topic with a strong methodology focus or in a data science / computational topic of relevance to the geoscience. You would like to continue on a research-oriented and independent track, facing the constantly growing challenges of data-intensive geoscientific research, while developing methods to integrate, analyse, interpret or visualize large, heterogeneous geo-data. You are willing to participate in future open-source and open-data projects of the group. You enjoy working with students and would like to contribute to basic and advanced teaching, specifically data science classes. You are a team player and have a cooperative, responsible and committed working style.
The complete job description can be found here. (Scroll down for the English version.)
PhD Position in Optimal Data Acquisition for Mass Flows
You have completed your studies in a computational geoscience, applied mathematics, simulation science (or a related subject) and have a keen interest in research on natural hazards and climate change impact. You would like to combine a research focus in computational method development with occasional lab and field experience. Initial expertise in the development of simulation models for transport processes / shallow flow / mass movements or alternatively in optimal experimental design are desirable but not a must. You are willing to participate in future open source and open data projects of the group. You are a team player and have a cooperative, responsible and committed working style.