Land Modeling and Data Assimilation System Specialist with SSAI at NASA Goddard Space Flight Center in Greenbelt, MD

Land Modeling and Data Assimilation System Specialist with SSAI at NASA Goddard Space Flight Center in Greenbelt, MD

Land Modeling and Data Assimilation System Specialist with SSAI at NASA Goddard Space Flight Center in Greenbelt, MD

Science Systems and Applications, Inc. is seeking a GEOS Land Modeling and Data Assimilation System specialist to support the Global Modeling and Assimilation Office at the NASA Goddard Space Flight Center. This position will begin in a telecommuting status with the eventual likelihood of a hybrid model with work on site at NASA’s GSFC.

The position is designed for a mid-career scientist/programmer or numerical modeler with commensurate experience using and/or running coupled atmosphere and land models. The selected staff member will contribute to the maintenance and development of the land modeling and data assimilation components of the Global Earth Observing System (GEOS) at the NASA Global Modeling and Assimilation Office (GMAO). This involves the following expected duties:

*   Develop, implement, and document, under advisement of civil service staff, improvements in the GEOS land modeling and data assimilation system.
*   Perform simulations with the stand-alone land model and with various configurations of the full GEOS Earth system model; process results as required.
*   Integrate science software and model parameters into the operational version of GEOS and perform associated tests.
*   Assist in solving daily technical problems (in addition to strictly scientific problems).
*   Ensure proper coordination with other model development groups in the GMAO.
*   Maintain appropriate standards and interfaces to facilitate coupling of land model and assimilation components into the broader NASA GEOS system.

Required Qualifications:

*   A minimum of an MS degree in numerical land, atmospheric, or ocean modeling or a related field.
*   6-10 years of experience in designing, running, and analyzing output from standalone or coupled land, atmosphere, or ocean numerical models or data assimilation systems
*   Extensive experience in FORTRAN or C/C++ programming is required
*   The applicant must be detail-oriented.

Desired Qualifications:

*   Experience in land surface hydrology and data assimilation preferred
*   Experience in Python programming is highly desired, as are familiarity with relevant data formats (including NetCDF and HDF), object-oriented software paradigms (e.g., ESMF), and software version control (e.g., git and github.com)
*   Expert knowledge of parallel computing processes and languages is also desired, as is a strong familiarity with graphics software.

NOTICE TO APPLICANTS:  As a federal contractor, all employees of SSAI are required to be vaccinated (by no later than December 8, 2021) unless eligible for a religious or health exemption.  Applicants selected for employment by SSAI must provide SSAI with the following documentation upon commencement of employment:

(a) a copy of the record of immunization from a health care provider or pharmacy, such as a copy of the COVID-19 Vaccination Record Card (CDC Form MLS-319813_r, published on September 3, 2020),

(b) a copy of medical records documenting the vaccination,

(c) a copy of immunization records from a public health or State immunization information system, or

(d) a statement that you are scheduled to receive a vaccination (identifying the date by which you expect to meet vaccination requirements).

The record must verify vaccination with information on the vaccine name, date(s) of administration, and the name of health care professional or clinic site administering vaccine.
Applicants seeking employment subject to a religious or health exemption should contact SSAI Human Resource Department.

SSAI is an Equal Employment Opportunity and Affirmative Action Employer.
EEO/AA-Minorities/Females/Veterans/Individuals with Disabilities

Apply here:
https://ssaihq.com/employment/Careers.aspx?req=21-3298&type=JOBDESCR

Environmental Modeller: Land ecosystems response to environmental changes

Karlsruhe Institute of Technology (KIT) is the result of the merger of university Karlsruhe and research center Karlsruhe. It is a unique institution in Germany, which combines the mission of a university with that of a large-scale research center of the Helmholtz Association. With 9400 employees and an annual budget of EUR 800 M., KIT is one of the largest research and education institutions worldwide. Our Institute of Meteorology and Climate Research – Atmospheric Environmental Research Division (IMK-IFU) in Garmisch-Partenkirchen (Germany) invites applications for an

Environmental Modeller:
Land ecosystems response to environmental changes

We seek a creative and communicative colleague in the Global Land-Ecosystem Modelling Group (https://lemg.imk-ifu.kit.edu/), based in KIT’s Atmospheric Environment Division in Garmisch-Partenkirchen. Questions addressed in the group cover the interactions of environmental changes (especially land-use change and climate change) with ecosystem biogeochemical and water cycles, functional diversity, and ecosystem services. Specifically, we seek to

  • further develop, evaluate and apply the dynamic global vegetation model LPJ-GUESS for land-based climate change mitigation (such as modelling bioenergy yield, ‘climate smart’ cropland management)
  • contribute to development, simulations and analyses of the coupled socio-economicmodel LandSyMM
  • lead and contribute to peer-reviewed publications arising from the work
  • contribute to general tasks in the group such as teaching, website maintenance, projectreports or proposal writing

We offer: a multi-disciplinary, highly collaborative and friendly team, well connected to national and international research networks and activities. Salary and benefits will be based on the Collective Agreement for the German Public Service Sector (TV-L EG13). Appointment will be initially for a period of 2 years, starting as soon as possible. Required qualifications:

  • PhD in a natural or computer science subject (e.g., environmental science, mathematics,ecology, meteorology, information technology)
  • Proven track-record in advanced scientific programming or quantitative data-analysis
  • Very good publication record (depending on the stage of career)
  • The appointee must be willing to travel and have very good spoken and written skills in the English language; German is an advantage

Candidates will be evaluated based on their track record, adjusted for their seniority, parental leave, etc. We highly value diversity in our group, and encourage in particularly female or diverse candidates to apply. Applications, including a CV, description of programming experience, a letter of motivation, and names and contacts of two references should be sent by email as a single pdf to Prof. Almut Arneth (almut.arneth(at)kit.edu) by 10.11.2021, quoting the reference number IsoTech.

Download the position description here.

Two postdoctoral researchers in land-based, climate change mitigation modelling

Two postdoctoral researchers in land-based, climate change mitigation modelling

ORGANIZATION
Karlsruhe Institute of Technology, Campus Alpin (IMK-IFU), Garmisch-Partenkirchen, Germany

DEADLINE
Friday 9 July 2021

OVERVIEW
We are seeking two postdoctoral researchers in the field of land-based, climate change mitigation modelling. The positions will be held within the Land Use & Climate Change Research Group (https://landchange.imk-ifu.kit.edu/) and the Global Land Ecosystem Modelling Group (https://lemg.imk-ifu.kit.edu/) of the Karlsruhe Institute of Technology (KIT), located at KIT’s ‘Campus Alpin’ in Garmisch-Partenkirchen. Specifically, we seek to employ:

  • A land use modeller to develop and apply the CRAFTY agent-based model of land use change (see: https://landchange.imk-ifu.kit.edu/CRAFTY) in evaluating land-based, climate change mitigation scenarios and policy options at the national scale in Germany (ref: LUC-ABM);
  • An ecosystem modeller to develop and apply the LPJ-GUESS model (https://lemg.imk-ifu.kit.edu/themes/land-climate-interactions) in evaluating vegetation dynamics and biogeochemical cycling globally and nationally for Germany (ref: LUC-DGVM).

Your specific roles will be to contribute to the further development and application of these models individually, but also in an integrated way within a coupled modelling framework. The positions will also entail some contributions to teaching and group administration. The positions are available from 1 October 2021 for 3 years (subject to confirmation of project funding) with the position holders being located at KITs attractive Alpine Campus in Garmisch-Partenkirchen, Germany. Salary will be equivalent to the public service TV-L EG13, depending on qualifications and experience.

QUALIFICATIONS
You will have a PhD degree in a relevant discipline and strong quantitative skills in computer modelling and the analysis of large-scale datasets in the environmental sciences (GIS experience alone is insufficient). Depending on the position applied for, experience with statistical analysis, scenario analysis, ecological economics, ecosystem modelling, computational social sciences and/or computer programming is desirable. You will need to have proficiency in the English language, both spoken and in writing and preferably a working knowledge of German. Further information can be obtained from Prof. Mark Rounsevell (mark.rounsevell@kit.edu) for LUC-ABM and Prof. Almut Arneth (almut.arneth@kit.edu) for LUC-DGVM.

Candidates should hold a PhD (or be close to completion) and have appropriate experience indicated by publications in international peer reviewed journals.

The post is full-time for an initial fixed-term of 1 year starting on 1 May 2020. There is potential for the position to be extended by a further year.
Salary: Ue07 £33,797 – £40,322 per annum
Closing date is 25 February 2020 at 5pm GMT.

Informal inquiries to Prof. Mark Rounsevell (mark.rounsevell@ed.ac.uk) and Dr Peter Alexander (peter.alexander@ed.ac.uk).

CONTACT NAME
Prof. Mark Rounsevell

CONTACT EMAIL
mark.rounsevell@ed.ac.uk

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Seeking nominations for an Alexander von Humboldt Research Fellowship in modelling terrestrial ecosystems and biodiversity responses to environmental and socioeconomic changes

Are you an excellent early career researcher from abroad, interested in obtaining a Humboldt Research Fellowship to perform research in Germany? Do your research interests include modelling of (large regional/global) land ecosystem processes, climate change, land-use change and socio-ecological modelling? Do you have skills in the analysis of large data sets, modelling or code development?

We are seeking candidates to be nominated for a Humboldt Research Fellowship funded under the new Henriette Herz-Scouting-Programme of the Alexander von Humboldt Foundation. Humboldt Research Fellowships allow successful candidates to pursue an independent programme of research aligned to the research interests of the host organisation. These prestigious Fellowships are held for up to 24-months.

 Candidates must meet the following formal requirements:

  • Doctorate completed within the last 12 years
  • Above-average publication record commensurate with career level
  • Have not undertaken post-doctoral research stays nor completed degrees/doctorates in Germany
  • Do not hold German nationality
  • Good knowledge of German or English, depending on research proposal
  • Availability: the research fellowship should commence within 12 months of being granted
  • No previous applications submitted to the Foundation; no previous sponsorship in any of the Foundation’s fellowship programmes
  • Initial preference will be given to female applicants

The research will be conducted at KIT’s Institute of Meteorology and Climate Research – Atmospheric Environmental Research Division (IMK-IFU) in Garmisch-Partenkirchen (Germany). In addition to the formal requirements specified by the Alexander von Humboldt Foundation we seek candidates who are interested in developing their research along the lines of the research groups Global Land Ecosystem Modelling (https://lemg.imk-ifu.kit.edu/) and Land Use Change and Climate Research (https://landchange.imk-ifu.kit.edu/).

Our activities include:

  • Developing, evaluating and applying process‐based models of land ecosystems and their coupling to atmospheric, land-use and biodiversity models;
  • Utilising different observational data streams (satellite remote sensing, field plot data, statistics) in novel ways to enhance process understanding of ecosystem or land-use change processes and to test models;
  • Providing quantitative analysis related to changes in biodiversity and ecosystem services in the context of the groups’ modelling work.

More information is available at: https://www.humboldt-foundation.de/en/apply/sponsorship-programmes/henriette-herz-scouting-programme and: https://www.humboldt-foundation.de/en/apply/ sponsorship-programmes/humboldt-research-fellowship

The first deadline for applications is February 15 2021, with a second call expected later this year.

Applications for nominations should be sent to Prof. Dr. Almut Arneth, almut.arneth@kit.edu. Applications should include: a letter of motivation (max. one page) that provides a short self-assessment as to why you fit to the Henriette Herz-Programme, and a description of your research interests and skills in context of the broad research areas outlined above; a C.V. and degree certificates as well as publication list. Documents should be sent as a single pdf.

Download the position description here.

Two postdoctoral researchers in land-based, climate change mitigation modelling

Postdoctoral researcher in land-use change modelling

Overview
The Land Use and Climate Change Research Group of the Karlsruhe Institute of Technology (https://landchange.imk-ifu.kit.edu/) is seeking a postdoctoral researcher in the field of land use change modelling. You will work within a newly funded research project on Integrating socio‐technological and ecological land‐based solutions for climate change mitigation in the food and energy systems (ISoTEc‐Land). Your specific roles will be to contribute to the application of a novel agent-based model of land use change at the global scale, and the development of a new model of large-scale, solar panel placement. The position is available from 1 May 2021 for 18 months, with the potential for extension beyond this period subject to performance and funding. The position will also entail some contribution to teaching and group administration. The position holder will be located at KITs attractive Alpine Campus in Garmisch-Partenkirchen, Germany. Salary will be equivalent to the public service TV-L EG13, depending on qualifications and experience.

Qualifications
You will have a PhD degree in a relevant discipline (or equivalent experience) and strong quantitative skills in computer modelling and the analysis of large-scale datasets in the environmental sciences (GIS experience alone is insufficient). Experience with statistical analysis, scenario analysis, ecological economics, computational social sciences and/or computer programming is desirable. You will need to have proficiency in the English language, both spoken and in writing. Further information can be obtained from Prof. Mark Rounsevell (mark.rounsevell@kit.edu).

Applications
Applications should be sent by email to Prof Mark Rounsevell (mark.rounsevell@kit.edu) by Friday 22 January 2021, quoting the reference, ISoTEc-Land. Applications should be submitted within a single PDF document that includes your CV, publications list (with citations), a short (1-2 page) letter of motivation and contact details for 2 referees. The motivation letter should clearly state how your research interests relate to the job specification provided above. Applications that are incomplete or do not address these criteria will not be considered.

Interviews will be held remotely on Monday 1 February 2021.

KIT strives to achieve gender balance at all levels of employment. We therefore particularly encourage female candidates to apply for this position. With appropriate qualifications, applications from persons with handicaps are treated preferentially.

 

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Research scientist position in modelling terrestrial ecosystems response to environmental changes at Karlsruhe Institute of Technology, Germany

The Karlsruhe Institute of Technology (KIT) and its Institute of Meteorology and Climate Research/Department Atmospheric Environmental Research (KIT/IMK‐IFU) in Garmisch‐Partenkirchen, Germany, invites applications for a: Research Scientist: Modelling terrestrial ecosystems response to environmental changes

We seek a creative and communicative colleague in the land-ecosystem modelling group, based in KIT’s Atmospheric Environment Department in Garmisch‐Partenkirchen (https://lemg.imk-ifu.kit.edu/). Questions addressed in the group cover the interactions of environmental changes (especially land-use change and climate change) with ecosystem biogeochemical and water cycles, functional diversity, and ecosystem services. Most of our work is based on developing and applying a dynamic global vegetation model, off-line or coupled to atmospheric or socio-economic models. We cooperate closely with colleagues at IMK-IFU, Lund University (Sweden), and UNEP-WCMC (Cambridge). The successful applicant is expected to further enhance the group’s national and international research profile through leading and cooperating in research projects, contributing to general group activities (such as teaching, reporting and outreach) and developing project proposals, jointly with the head of group.

Tasks include:
– further develop, evaluate and apply the process‐based dynamic vegetation model LPJ‐GUESS and its coupling to atmospheric, socio-economic and biodiversity models;
– utilise different observational data streams (satellite remote sensing, field plot data, statistics) in novel ways to enhance process understanding related to ecosystem changes and develop/test model capacity;     
– provide quantitative analysis related to changes in biodiversity and ecosystem services in context of the groups’ modelling work.

We offer: a multi‐disciplinary, highly collaborative and friendly team, well connected to national and international programs. This position is offered for 2 years in the first place with a salary equivalent to the public service TV-L.

Required qualifications:
– PhD in a natural science subject (atmospheric physics, environmental science, ecology or similar)
– Proven track‐record in advanced scientific programming or quantitative data-analysis
– Above-average publication record; having applied successfully for funding proposals is an advantage
– The appointee must be willing to travel and have very good spoken and written skills in the English language

We prefer to balance the number of female and male employees. Therefore we especially ask female applicants to apply for this job. If qualified, handicapped applicants will be preferred.

Applications, including a CV, description of programming experience, certificates and a letter of motivation, should be sent by email as a single pdf to Prof. Almut Arneth (almut.arneth@kit.edu) by 15.11.2020, quoting the reference number 530/2020.

Incomplete applications or those that do not fit the required profile will not be considered.