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Job Summary
The Division of Coastal Sciences in the School of Ocean Science and Engineering (SOSE) at The University of Southern Mississippi invites qualified applicants for a full-time, 9-month, tenure-track faculty position in Coastal and Estuarine Hydrology or Sedimentology at the Assistant, Associate, or Full Professor level to begin in Fall 2022.
Primary Duties and Responsibilities
We seek a Coastal and Estuarine Hydrologist or Sedimentologist to focus on the hydrological dynamics of transitional coastal and estuarine systems and associated watershed/upland habitats. Areas of research include but are not limited to study of the interaction between and among the hydrological, ecological, geological, and physical components of nearshore systems. We seek a scientist with an interest in developing research in tides, waves, and mixing of freshwater and saltwater, sediment/particle transport processes, and watershed modeling and climate forcing impacts on these areas of research. The candidate will employ measurements in the field, simulation and mathematical modeling, laboratory experimentation, and/or remote data acquisition and analysis. The successful candidate will be expected to develop a strong, externally funded research program, publish in peer-reviewed literature, mentor students, participate in graduate instruction, develop courses in their area of study, and participate in University and extramural service activities.
Preference will be given to applicants showing potential for collaboration within SOSE divisions and programs (e.g. Marine Science, Ocean Engineering) and other academic units including USM’s College of Business and Economic Development, Hydrographic Science Research Center, and Coastal Operations initiatives.
SOSE includes two academic divisions, Coastal Sciences, in Ocean Springs, and Marine Science at the John C. Stennis Space Center, and collaborates closely with four R&D centers on the coast: Center for Fisheries Research and Development, Thad Cochran Marine Aquaculture Center, Marine Education Center and Marine Research Center. The position will be located in Ocean Springs at the Gulf Coast Research Laboratory. Ocean Springs is known for its beauty and quality of life. It is home to art galleries, restaurants, and schools that are ranked among the best in the State.
Minimum Qualifications
A Ph.D. from an accredited college or university in a relevant discipline.
Preferred Qualifications
A record of scholarship, service, grant development, communication, and pedagogy. For appointment at the Associate or Full Professor level the candidate should demonstrate evidence of consistent research funding, scholarly productivity, and national or international reputation for excellence in their discipline. We particularly welcome applications from individuals with a demonstrated commitment to diversity, equity, and inclusion.
About The University of Southern Mississippi
The University of Southern Mississippi (USM) is a comprehensive public research institution delivering transformative programs on campuses in Hattiesburg and Long Beach, at teaching and research sites across the Mississippi Gulf Coast, as well as online. Founded in 1910, USM is one of only 131 universities in the nation to earn the Carnegie Classification of Institutions of Higher Education's "R1: Doctoral Universities - Very high research activity" designation, and its robust research enterprise includes experts in ocean science and engineering, polymer science and engineering, and large event venue safety and security, among others. USM is also one of only 37 institutions in the nation accredited in theatre, art and design, dance and music. As an economic driver, USM generates an annual economic impact of more than $600 million across the state. USM welcomes a diverse student body of more than 14,000, representing 71 countries, all 50 states, and every county in Mississippi. USM students have collected four Truman Scholarships and 37 National Science Foundation Graduate Research Fellowships, while also leading Mississippi with 27 Goldwater Scholarships, an honor that recognizes the next generation of great research scientists. Home to the Golden Eagles, USM competes in 17 Division I sports sponsored by the National Collegiate Athletic Association (NCAA). For more information, visit www.usm.edu.
Apply: https://usm.csod.com/ats/careersite/JobDetails.aspx?id=2231&site=1
Job Title: Postdoctoral Fellow I - Snow, Hydrology, Modeling<br>
Location: Boulder, CO<br>
Type: Full-time, Exempt<br>
Position Term: 1 year, with the possibility of extension into a second year<br>
Application Deadline: This position will be posted until July 17th. Thereafter, applications will be reviewed on an as-needed basis.<br>
Relocation: No relocation package is offered for this position.<br>
Work Authorization: UCAR/NCAR will sponsor a work visa to fill this position.<br>
'''Where You Will Work:'''<br>
Located in Boulder, Colorado, the National Center for Atmospheric Research (NCAR) is one of the world’s premier scientific institutions, with an internationally recognized staff and research program dedicated to advancing knowledge, providing community-based resources, and building human capacity in the atmospheric and related sciences. NCAR is sponsored by the National Science Foundation (NSF) and managed by the University Corporation for Atmospheric Research (UCAR).
'''What You Will Do:'''<br>
This is a new, full-time, 1-year term position (potential to extend to year 2). The new hire will conduct research on enhancing snow model performance in the National Water Model (NWM). The new hire will evaluate a multi-year retrospective of NWM snow states against in-situ and remotely sensed snow observations, evaluate sensitivities to different snow model parameters, and conduct and evaluate snow data assimilation experiments. Part of this research will also involve quantifying the impacts of improved snow model performance on NWM streamflow forecasts.
'''Responsibilities:'''<br>
Conduct research aimed at improving NWM estimates of snow states across the U.S. and quantifying impacts of these improved states on national water forecasts. The work will include the following major tasks:
* Evaluate NWM snow model state estimates (snow cover fraction, snow water equivalent, albedo) at target locations across the U.S. as compared to in-situ (SNOTEL, mesonet) and remote-sensing observations;
* Assess sensitivity of snow estimates to different NWM snow model parameters;
* Setup and run data assimilation experiments in target basins;
* Quantify impacts of assimilating different observation data products on snow and streamflow forecast skill at different time horizons.
Communicate research results through publication in peer-reviewed journals, meeting proceedings, and presentations at scientific meetings.
Participate in research development with internal and external collaborators across disciplines.
'''What You Need:'''<br>
Education and Years of Experience:
* Ph.D with specialization in cryospheric or hydrologic sciences including expertise and familiarity with snow observations and modeling.
Knowledge, Skills, and Abilities:
* Demonstrated skill in conducting and analyzing snow, hydrology, and/or land surface prediction model simulations, particularly evaluation of simulated snow and related water cycle components against observations.
* Strong familiarity with snow observation techniques and datasets, including suitability and limitations.
* Ability to analyze large datasets in both space and time dimensions.
* Proficiency with UNIX, NetCDF, and Python/R or other data analysis and visualization languages.
* Demonstrated ability to publish research results in peer-reviewed journals.
* Ability to effectively participate in and interact productively with model developers at NCAR and in the external community.
* Strong skills in written and oral communication of research results.
'''What’s in it for You:'''<br>
* Compensation
* PTO
* Paid Holidays
* Tuition Reimbursement
* Benefits (Medical, Dental, Vision)
* Retirement Plan
* And more!
'''EEO/AAP Statement:'''<br>
The University Corporation for Atmospheric Research (UCAR) is an equal opportunity/equal access/affirmative action employer that strives to develop and maintain a diverse workforce. UCAR is committed to providing equal opportunity for all employees and applicants for employment and does not discriminate on the basis of race, age, creed, color, religion, national origin or ancestry, sex, gender, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or pregnancy.
Whatever your intersection of identities, you are welcome at the University Corporation for Atmospheric Research (UCAR). We are committed to inclusivity and promoting an equitable environment that values and respects the uniqueness of all members of our organization.
Job Location<br>
Boulder, Colorado, United States<br>
Position Type<br>
Full-Time/Regular<br>
Join CAESER (https://caeser.memphis.edu/) at the University of Memphis, an R1 institution, and take on a pivotal role in our regional aquifer research. We are seeking a highly qualified candidate with a MS degree to contribute to a comprehensive study of the shallow stratigraphy of the northern Mississippi Embayment.
'''Project Overview:'''<br>
You will be tasked with integrating geophysical and lithological datasets to map and interpret gross depositional environments, focusing on a fluvial-marine transitional paleo-environment. Your work will stand as our regional geologic model, impacting conservation efforts for the Memphis/Sparta Aquifer. You will gain the necessary skills for employment as a hydrogeologist, stratigrapher, or geomorphologist in the energy or environmental consulting industries.
'''Preferred skills:'''<br>
* Graduate degree in Earth Science or related field
* Proficiency in GIS, logging software, and Adobe Illustrator or equivalent
* Strong knowledge of sedimentology, stratigraphy, and geomorphology
* Ability to deliver insightful interpretations with precision and confidence
'''Benefits:'''<br>
* Fully funded 4-year PhD position at an R1 institution with a competetive stipend relative to cost of living
* Access to cutting-edge research facilities and resources
* Mentorship from experienced professionals in the field
* Opportunities for publication and presentation at top-tier conferences
'''Networking Opportunities:'''<br>
Forge connections with groundwater modelers and geologists at local, state, and federal government agencies, as well as potential collaborations with energy company scientists. Expand your professional network and open doors to future opportunities in academia and industry.
Send CV and a *brief* statement of interest and experience to jlpckrng@memphis.edu.
Jenn Pickering (Auchter)<br>
Research Assistant Professor; Graduate Faculty<br>
Herff College of Engineering<br>
The University of Memphis<br>
Center for Applied Earth Science and Engineering Research (CAESER)<br>
Memphis, TN 38107<br>
615.500.0264; https://caeser.memphis.edu/jenn-pickering-2-2/
Join Coastal Hydrology Lab (https://hmoftakhari.people.ua.edu/) and the Center for Complex Hydrosystems Research (https://cchr.eng.ua.edu/) at The University of Alabama (https://www.ua.edu/) on exciting coastal hydrology and compound coastal hazard modeling projects. Successful candidates will join an interdisciplinary team to work on compound coastal hazard modeling and resilience assessment using process-based hydrodynamic models, advanced data methods and remotely-sensed data. The focus of these projects are on implementation of advanced statistical methods for analyzing and projecting compound coastal flooding under nonstationarity (Project 1), developing machine learning algorithms for efficient compound coastal flood hazard assessment (Project 2), and assessment of natural and nature-based features on flood risk mitigation in coastal regions (Project 3).
These projects are fully funded (including full tuition support, a stipend, health insurance, and travel support for conference attendance), supported by National Science Foundation and National Oceanic and Atmospheric Administration. A successful candidate will be supervised by Dr. Hamed Moftakhari in the Department of Civil, Construction and Environmental Engineering at the University of Alabama, and is expected to conduct innovative and applied research on compound hazard assessment and forecasting using coupled hydrologic-hydrodynamics models and probabilistic methods. We use computational modeling, operations research, and a wide range of in-situ and remotely-sensed data, analytical and statistical tools/methods to characterize and quantify the extent to which compounding effects of hydroclimate hazards (including pluvial, fluvial, and coastal) pose threat to coastal communities. Projects 2 and 3 are related to Cooperative Institute for Research to Operations in Hydrology (CIROH) recently funded by NOAA (https://news.ua.edu/2022/04/ua-awarded-360-million-to-lead-national-water-effort/).
All positions are available as soon as January 2023. A qualified applicant must have strong quantitative and analytical skills, and holds a MSc in Civil, Environmental, or Ocean Engineering (or related disciplines), and strong written and oral communication of research results. Members of underrepresented groups in STEM are particularly encouraged to apply. For consideration, please submit your CV, a sample technical writing, a cover letter explaining your research experience/interests and list of 3 references to Dr. Hamed Moftakhari (hmoftakhari@eng.ua.edu). In subject line “CHL-PhD Application”.
'''PhD research position #1: Nonstationary compound flood frequency analysis'''
Desired qualifications include experience in probabilistic modeling, statistical methods, flood frequency analysis and hydrodynamic modeling (e.g., DFLOW-FM, ADCIRC, ADH, SCHISM). The successful candidate will be expected to develop novel statistical methods suitable for compound flood hazard assessment under nonstationarity.
'''PhD research position #2: Machine Learning for compound flood assessment'''
Desired qualifications include experience in hydrodynamic modeling (e.g., DFLOW-FM, ADCIRC, ADH, SCHISM) and development of machine learning algorithms. The successful candidate will be expected to set up detailed hydrodynamics models of select coastal/estuarine systems, assist with integrating distributed hydrologic models (i.e. National Water Model) and hydrodynamics model and developing machine learning algorithms for comprehensive compound flood assessment and generating flood maps.
'''PhD research position #3: Nature-based solutions for compound flood impact mitigation'''
Desired qualifications include experience in hydrodynamic modeling, coupled model parametrization and validation, familiarity with basics of nature-based solutions. The successful candidate will be expected to assist with hydrologic-hydrodynamic-biologic model coupling and set up, including the integration of distributed hydrologic models (i.e. NWM) with a detailed hydrodynamics model of select estuaries and biologic model of wetlands that simulated the response of these natural features to hydroclimate forcings and anthropogenic effects; and assess the performance of these natural features against compound coastal floods.
Join our team to work on the NGEE Arctic project studying climate impacts in the Arctic.
LANL Job Ad: https://bit.ly/3AnS2Xs
More on our team and the EES Division: https://www.lanl.gov/org/ddste/aldcels/earth-environmental-sciences/join-our-team.php +
Join us in exploring how to improve predictions of sediment pathways and budgets in river basins. Sediment is critical for river, coastal and marine ecosystems, it generates natural hazards, debris flows and landslides, and forms floodplains with unique riparian functions for humans. However, much remains unknown about the details of where the sediment sources and sinks are in the landscape, the pathways that connect and activate them – especially insofar as quantitative predictions of sediment fluxes at the river basin scale are concerned.
We are an interdisciplinary collaborative team consisting of a '''hydrology-sediment modelling group''' (Molnar, ETH Zurich) and '''geology-geomorphology group''' (Schlunegger, University of Bern). We will develop a new physics-based hydrogeomorphological approach to analyze sediment pathways, combining distributed hydrology-sediment modelling and connectivity mapping with geological and geomorphological field observations, and sediment tracing in the Alpine Rhine (Switzerland) as a natural laboratory. We are looking for 3 PhD students on a 4-year research project funded by the SNF to join us in this challenge.
'''PhD 1: Sediment sources and connectivity analysis (ETH Zurich).''' This PhD student will be mapping potential sediment sources, researching structural and functional connectivity metrics, and exploring relations between sediment concentrations, and basin and climatic inputs by deep learning data-driven methods. GIS, large data analysis skills, and basic knowledge in geomorphology are required. Supervision by P. Molnar (ETH) and F. Schlunegger (UniBe).
'''PhD 2: Process-based hydrology-sediment modelling (ETH Zurich).''' This PhD student will be working with our coupled hydrology-sediment model (https://hyd.ifu.ethz.ch/research/fluvial-systems/s2s.html), making fine sediment load observations in small basins for model testing, adding new model components, and simulating source to sink pathways by tracing the sources with sediment fingerprints. Environmental engineering background, numerical methods knowledge, and excellent coding skills are required. Main supervision by P. Molnar (ETH).
'''PhD 3: Geological sediment tracing (Uni Bern).''' This PhD student will be collecting field data for the characterization of source signals for bedload (grain size, bulk petrography) and suspension loads (cosmogenic nuclides, bulk geochemistry and mineralogy), to develop sediment budgets, and to trace source signals through the channel network. Geological field experience, GIS, basic modelling and knowledge about rock types and geomorphology are required. Main supervision by F. Schlunegger (UniBe).
'''Requirements'''<br>
You are motivated to research the Earth System with a combination of field, data analysis, and numerical modelling methods. You have some fieldwork experience and must be willing to take part in field campaigns. This is a team research effort – it is expected that you are willing and able to work with others, be creative, communicate, think critically and share your skills. Excellent command of English is required, and basic German is an advantage.
'''''Requirements for PhD1 and PhD2 (enrolled at ETH Zurich)'''''
You have a Master of Sciences degree in environmental engineering or environmental (earth) sciences. You have skills in computational methods and numerical modelling (PhD 2) and geodata analysis (PhD 1) applied to Earth System problems, which you can demonstrate. You know how to use GIS and programming languages (e.g. Python, R, Matlab). For more information please contact Peter Molnar (peter.molnar@ifu.baug.ethz.ch).
Apply: online at ETH Job Portal (https://jobs.ethz.ch/job/view/JOPG_ethz_dOQr1vfTm6ruOgN8r9; no Email applications)
'''''Requirements for PhD3 (enrolled at the University of Bern)'''''
You have a Master of Sciences degree in the field of geology or physical geography. You have skills in field sampling and laboratory sediment analysis. You know how to use GIS. For more information please contact Fritz Schlunegger (fritz.schlunegger@geo.unibe.ch).
Apply: by sending your application materials by Email to Prof. Schlunegger
'''Application Materials'''
* Motivation letter and research interests (max 1 pg, ca 600 words)
* Curriculum Vitae
* Academic transcripts from Bachelor and Master studies with grades
* Contact information for 2-3 potential referees (no referee letters please)
We will evaluate applications as they come in. The positions will remain open until suitable candidates are found.
'''Deadline:''' 23 December 2022
'''Start of Project:''' 1 April 2023
Junior Postdoctoral Researcher position is available in the framework of the Operational Programme Research, Development and Education call “International Mobility of Researchers” at Czech Technical University in Prague, Faculty of Civil Engineering, Dept. of Hydraulics and Hydrology.
Duration of this full-time position is 12 months, expected starting date is fall 2019. Salary is sufficient for covering the cost of living in the Czech Republic (gross monthly salary of about 2,500 EUR + family allowance).
The research will be focused on processes affecting the hydrological regime of forest catchments in headwater areas exposed to changing climate. The researcher will take part in: The evaluation and interpretation of existing datasets acquired by hydroclimatological monitoring and soil sampling at the experimental sites located in the Jizera Mountains and Bohemian Forest, Czech Republic; Evaluation and modeling of laboratory experiments on soil columns and/or field experiments to determine hydraulic properties of individual compartments of the soil-plant-atmosphere system; Publishing of the research results. The candidate is required to have PhD in hydrology or related branch of environmental science/engineering and have experience in the field of subsurface hydrology and hydrological modeling.
The official announcement of this position and more detailed information can be found at https://aktualne.cvut.cz/sites/aktualne/files/content/2ff44f26-6df8-4d03-9419-dad68bc135d9/en/20190509-junior-postdoctoral-researcher-faculty-of-civil-engineering-ctu.pdf and is attached.
The closing date for applications is 8 June 2019. +
Junior Postdoctoral Researcher position is available in the framework of the Operational Programme Research, Development and Education call “International Mobility of Researchers” at Czech Technical University in Prague, Faculty of Civil Engineering, Dept. of Hydraulics and Hydrology.
Duration of this full-time position is 12 months, expected starting date is spring 2020. Salary is sufficient for covering the cost of living in the Czech Republic (gross monthly salary of 2,400 EUR + family allowance).
The research will be focused on processes affecting the hydrological regime of forest catchments in headwater areas exposed to changing climate. The researcher will take part in: The evaluation and interpretation of existing datasets acquired by hydroclimatological monitoring and soil sampling at the experimental sites located in the Jizera Mountains and Bohemian Forest, Czech Republic; Evaluation and modeling of field experiments to determine hydraulic properties of individual compartments of the soil-plant-atmosphere system; Publishing of the research results. The candidate is required to have PhD in hydrology or related branch of environmental science/engineering and have experience in the field of subsurface hydrology and hydrological modeling.
The official announcement of this position and more detailed information can be found at https://www.fsv.cvut.cz/hlavni/vyber/p1k141.pdf +
Justice, equity, diversity, and inclusion (JEDI) are core values in the Department of Watershed Sciences at Utah State University. We believe that a diverse culture enhances our research, teaching, and outreach contributions by infusing our community with a variety of ways to understand the world, identify challenges, and deliver solutions. As part of our commitment to creating a more just and equitable world, the Department of Watershed Sciences is offering two JEDI research fellowships, starting August 2021. The JEDI fellowships will be awarded to two individuals that have demonstrated records of supporting diversity and inclusion in science. JEDI fellows can pursue research in any field within Watershed Sciences (ecology, hydrology, geomorphology, climate science, etc.). Both fellowships provide a full stipend and cover tuition and fees. One fellowship is reserved for a PhD student, the second is available for either a PhD or MS student.
To be considered for a fellowship, first contact a Department of Watershed Sciences faculty member with whom you would like to study (http://qcnr.usu.edu/wats/people/faculty). After you have confirmed that a faculty member is willing to serve as your advisor, submit your application to the USU School of Graduate Studies (https://gradschool.usu.edu/apply/) AND separately email Brian Bailey (brian.bailey@usu.edu) a 'Diversity and Inclusion Fellowship Statement' (up to 2 pages). Your 'Diversity and Inclusion Fellowship Statement' should 1) identify your past challenges and experiences regarding equity, diversity, and inclusion; 2) discuss your past efforts to support underrepresented groups in science and your ability to work within and promote a culturally diverse student body (provide specific examples where possible) and 3) describe your potential future contributions to enhance equity, diversity and inclusion in science and society. To be considered for a fellowship, the grad school application and 'Diversity and Inclusion Fellowship Statement' must be submitted by February 1, 2021.
For general questions about the department, fellowships or application process, contact Department Head Patrick Belmont (patrick.belmont@usu.edu).
KU Leuven is looking for an enthusiastic postdoctoral researcher with experience in (i) snow modeling or snow remote sensing, and (ii) data assimilation or machine learning, who will lead international research to improve snow estimation in mountainous regions.
Apply online (only) via the link at the bottom of the job announcement.
'''Responsibilities'''<br>
* Perform and disseminate high quality research related to snow remote sensing, land surface modeling, data assimilation and machine learning over mountainous regions
* Co-supervise PhD and Msc students
* Short-term goals: use machine learning to extract snow information from active microwave remote sensing
* Long-term goals: use microwave remote sensing to improve snow estimation in coupled land-atmosphere systems
'''Profile'''<br>
* PhD degree in Civil or Environmental Engineering, Bioscience Engineering, Hydrology, Meteorology, * Remotely Sensed Earth Observation, Physics, Mathematics, Computer Sciences, or equivalent
* Experience with snow processes, remote sensing and modeling
* Experience with statistics, data assimilation or machine learning
* Experience with data processing software such as Matlab, Python, IDL, GrADS, R, or other
* Experience with programming and scientific computing, ideally on large Linux clusters
* Excellent motivation
* Creative, critical, analytical, honest and innovative mindset
* Ability to work independently and lead a small research group
* Excellent written and oral communication in English, proven in publications
'''Offer'''<br>
* 2-year position with a competitive salary, support in career development, with the possibility for an extension with good performance
* Multi-disciplinary and international professional environment
* Leuven is a charming historical university town, located in the heart of Western Europe
* You can apply for this job no later than November 21, 2022 via the online application tool: http://www.kuleuven.be/eapplyingforjobs/light/60163633
Best regards<br>
Gabrielle
Prof. dr. ir. Gabriëlle J. M. De Lannoy<br>
KULeuven, Department of Earth and Environmental Sciences<br>
Division Soil and Water Management<br>
Celestijnenlaan 200 E - box 2411<br>
B-3001 Heverlee<br>
Belgium<br>
Karen Gran (kgran@d.umn.edu) and I are seeking 2 MS students and 1 Ph.D. student or postdoc as part of a collaborative NSF-funded project on the Lake Superior Basin. Together, we will study multiple rivers incised into different lithologies along Lake Superior's north and south shores to understand lithological controls on fluvial erosional processes and generate a field-applicable mechanistic model of bedrock incision.
More details on the project can be found at the NSF award page (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2218457&HistoricalAwards=false) and in its press release (https://cse.umn.edu/safl/news/far-reaching-lake-superior-basin-project-receives-nsf-grant).
A further description of the positions, with more details on the potential Ph.D. student or postdoc role, is available at https://mnimorph.science/lab+prospective/. The M.S. student positions would likely each focus on a detailed geomorphic study of a single watershed, while the Ph.D. student or postdoc would work across and beyond these as well as to develop the model and synthesize the results.
Please contact myself for further information, especially regarding the Ph.D. or postdoc position, and Karen Gran (kgran@d.umn.edu) for information on the MS positions.
With good wishes as we enter November,
Andy<br>
<br>
Andrew D. Wickert<br>
Associate Professor<br>
Saint Anthony Falls Laboratory and<br>
Department of Earth & Environmental Sciences<br>
University of Minnesota - Twin Cities<br>
https://mnimorph.science<br> +
Karlsruhe Institute of Technology, Department of Civil Engineering, Geo- and Environmental Sciences, is looking for a recognized and enthusiastic person working in the field of fluid dynamics. The tenure-track-professorship is embedded in the research and teaching activities of the Institute for Water and Environment (https://www.iwu.kit.edu/) and focuses on modeling the interactions in various environmental flows, such as floods with moving, deformable, organic, and inorganic elements.
The ideal candidate has strong skills in numerical modeling by eddy- resolved numerical computations, complements existing numerical and experimental research activities of the institute, and develops new methods for simulating fluid-structure interactions.
In academic education, the professorship will strengthen the study programs (BSc/MSc) of the Department with competencies in the field of fluid dynamics and related areas. The profound knowledge and practical experience will also be used for the supervision and support of students and doctoral researchers.
The candidate has to execute university tasks with a teaching obligation of 6 hours per week per semester, if he has been evaluated positively. In other cases, the teaching obligation will be 4 hours per week per semester. Applicants are expected to participate in academic administration and to acquire third-party funding for research and innovation.
Starting date: as soon as possible.
Employment is subject to Art. 14, par. (2) of the KIT Act in conjunction with Art. 51 LHG Baden-Württemberg (Act of Baden- Württemberg on Universities and Colleges) as well as to the Quality Assurance Concept for Junior Professorships and Tenure-track Professorships at Karlsruhe Institute of Technology (KIT).
Appointment will be based on an excellent internationally recognized scientific record as well as on didactic capabilities in the field of fluid dynamics and related areas. Applicants should be willing to collaborate across disciplines within the Institute for Water and Environment as well as within KIT.
Employment is limited to six years as a civil servant for a fixed term or as a salaried employee. Before the expiry of the third year of work, an interim evaluation will take place. The evaluation procedure and evaluation criteria are outlined in the Quality Assurance Concept for Junior Professorships and Tenure-track Professorships at Karlsruhe Institute of Technology. Specific interim and final evaluation criteria will include the subject-specific foci of work indicated above (own contributions to the research and teaching area, internal and external cooperation, and acquisition of third-party funding). In case of a positive final evaluation, you will be offered a full professorship (W3).
Applications are due by October 15, 2024. For further information, please contact Professor Dr. Olivier Eiff (olivier.eiff@kit.edu).
Please mail your application with the relevant documents (curriculum vitae, list of publications, diplomas/certificates, teaching evaluations, description of previous and planned research and teaching activities, research and teaching concept, description of your own contributions in the above-mentioned areas, acquired third-party funds, statement on scientific honesty), preferably as a single PDF file, to Karlsruhe Institute of Technology (KIT), Head of Division IV – Natural and Built Environment, Kaiserstr. 12, 76131 Karlsruhe, Germany, email: dekanat@bgu.kit.edu
We would like to have a balanced structure of staff (f/m/nb). Therefore, we encourage qualified women to apply for this job.
Recognized severely disabled persons having the same qualification will be preferred.
As a family-friendly university, KIT offers part-time employment, leaves of absence for family reasons, a dual career service, and coaching to support the work-life balance.
https://www.pse.kit.edu/english/karriere/joboffer.php?id=164204
Mit besten Grüßen,<br>
Mário Franca
Karlsruher Institut für Technologie (KIT)<br>
Institut für Wasser und Umwelt (IWU)<br>
Mário J. Franca, Professor<br>
Wasserbau und Wasserwirtschaft<br>
Kaiserstraße 12<br>
76131 Karlsruhe<br>
https://wb.iwu.kit.edu/<br>
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft<br>
Kawe Gidaa-Naanaagadawendaamin Manoomin/Psiη (First we must consider Manoomin) is a unique interdisciplinary research collaboration focused on protecting Manoomin, with a core commitment to prioritizing tribal knowledge, perspectives, and needs. Manoomin (Ojibwe)/Psiη (Dakota)/Zizania palustris (scientific name)/wild rice (common name) is an aquatic grass with highly nutritious grains that grows in shallow waterways throughout the Great Lakes region. To the Ojibwe tribes across the region it is a sacred food, medicine, and gift from the Creator, which they have stewarded, hand-harvested, and processed for millennia. Manoomin is also a highly sensitive species. Its range and abundance have been in decline because of multiple stressors, including disturbed hydrology, declining water quality, and land-use and climate change.
The project began in 2018 with a grant from the UMN Grand Challenges Program and the Institute on the Environment, bringing together UMN social science and biophysical researchers and partners representing several tribes and inter-tribal organizations. It has now expanded to include participants from 9 tribes, 5 tribal natural resource agencies, 2 inter-tribal organizations, and 20 student researchers. With additional support from the National Science Foundation and United States Geological Survey, we are continuing to grow our research partnership and commitment to Manoomin conservation.
See: https://manoominpsin.umn.edu for more information about the Kawe Gidaa-Naanaagadawendaamin Manoomin/Psiη (First we must consider Manoomin/Psiη) project.
We are seeking applicants for the following open positions:
'''Integrated Social Dimensions (Department of Forest Resources).''' One graduate student (MS or PhD) to focus on understanding the influences of human values, policies, and practices on manoomin ecosystems. The student will examine social aspects of human/manoomin relationships, manoomin management, manoomin harvest, and environmental change. To do this, the student will conduct interviews, focus groups, surveys, and archival research. A successful student will engage in the entire interdisciplinary research process and be able to bridge not only social and biophysical sciences but also traditional ecological knowledge and western natural resource sciences. Students with experience working with tribal or Indigenous communities are highly encouraged to apply. The student will be located in the Department of Forest Resources and will be advised by Prof. Mike Dockry and others on the project. Application deadline is December 15, 2020.
'''Environmental Integration (Department of Earth and Environmental Sciences).''' One postdoctoral researcher to perform integration across the different environmental and ecological components of manoomin, involving Indigenous worldviews and research methods. This postdoc will work closely with tribal partners and other researchers to synthesize hydrological, sediment, vegetation, geochemical, and social science data from human-influenced manoomin study sites. Excellent collaboration skills will be important for doing this integration work. The ideal applicant will have experience with Indigenous research methods as well as some area within geosciences, environmental science, and/or ecology. A commitment to learning about Indigenous histories, perspectives, and knowledge systems will also be necessary for this position. This postdoc will be located in the Department of Earth and Environmental Sciences and will be advised by Prof. Crystal Ng and co-advised by Prof. Mike Dockry and others on the project. Postdoc applicants may directly contact Prof. Crystal Ng at gcng@umn.edu with their CV and cover letter.
'''Biogeochemistry (Department of Earth and Environmental Sciences).''' One graduate student (MS or PhD) to examine the biogeochemical aspects influencing manoomin health and ecosystems. This student will focus on field and laboratory/analytical examinations of manoomin waters and sediments, but should be committed to maintaining and advancing the overall project goals and collaborative nature of the project. A successful student will develop expertise in a variety of analytical geochemistry techniques so should be comfortable engaging with other students and researchers to learn new approaches and instrumentation. A commitment to learning about Indigenous histories, perspectives, and knowledge systems will also be necessary for this student to be successful. This student will be located in the Department of Earth and Environmental Sciences and will be advised by Prof. Cara Santelli and co-advised by others on the project. Application deadline is Dec. 15, 2020.
'''Hydrological Modeling (Department of Earth and Environmental Sciences).''' One postdoctoral researcher, or PhD student with a strong computational background, to implement hydrological and statistical models and contribute to fieldwork. This postdoc/student will build upon existing modeling software to understand the response of manoomin watersheds to climate change and other human influences. A unique aspect will be to engage tribal community members and incorporate their knowledge and observations into the model development, calibration, and interpretation. The ideal applicant will have a background in hydrology as well as interest in related geoscience and ecology topics; be able to use Python, Matlab, and/or R; and have some exposure to or interest in Fortran, C++, and/or cluster computing. A commitment to learning about Indigenous histories, perspectives, and knowledge systems will also be necessary for this position. This postdoc/student will be located in the Department of Earth and Environmental Sciences and will be advised by Prof. Crystal Ng and co-advised by Prof. Dan Larkin and others on the project. Application deadline for PhD students is Dec. 15, 2020. Postdoc applicants may directly contact Prof. Crystal Ng at gcng@umn.edu with their CV and cover letter.
'''Ecology (Department of Fisheries, Wildlife and Conservation Biology).''' One graduate student (MS or PhD) or staff researcher to characterize manoomin’s ecological niche, including environmental relationships and interactions with other plant species, and evaluate the effects of management actions on manoomin health. This work will involve substantial fieldwork and analytical components. Strong collaborative skills will be needed for integrative work with other students, researchers, and tribal partners. The ideal applicant will have field-based research experience in plant and/or aquatic ecology and enthusiasm for statistical modeling. A commitment to learning about Indigenous histories, perspectives, and knowledge systems will also be necessary for this position. The position will be based in the Department of Fisheries, Wildlife and Conservation Biology and supervised by Prof. Dan Larkin and co-supervised by others on the project. If filled as a graduate student position, the student will be based in the Conservation Sciences Graduate Program, which has a preferred application deadline of Dec. 15, 2020. Potential applicants can contact Prof. Larkin at djlarkin@umn.edu.
'''Ecohydrology (Department of Fisheries, Wildlife and Conservation Biology).''' One graduate student (MS or PhD) to investigate how the ecohydrology of manoomin watersheds will be influenced by climate-driven changes to species and functional trait composition of surrounding forests. Strong collaborative skills will be needed for integrative work with other students, researchers, and tribal partners. The ideal applicant will have research experience in plant community or forest ecology or related disciplines. A large component of the work will involve synthesis and analysis of existing forest cover and functional trait datasets, complemented by fieldwork to collect additional data. A commitment to learning about Indigenous histories, perspectives, and knowledge systems will also be necessary for this position. The student will be based in the Department of Fisheries, Wildlife and Conservation Biology as a member of the Conservation Sciences Graduate Program and will be supervised by Prof. Dan Larkin and co-supervised by Prof. Crystal Ng. Conservation Sciences has a preferred application deadline of Dec. 15, 2020. Potential applicants can contact Prof. Larkin at djlarkin@umn.edu.
Lancaster Environment Centre (LEC) is seeking to appoint a post-doctoral Research Associate with a Geological Sciences background, and experience in thermochronology, for a fixed term 12 month contract from February 2026, with the potential possibility of a short extension, dependent on funding.
The project will utilise medium and low temperature detrital thermochronological data from Himalayan sediments to constrain the tectonic evolution of the Eastern Himalayan syntaxis. The data will focus on recently acquired (unpublished) ages from detrital rutiles double-dated with U-Pb and He techniques. The PDRA will work under the guidance of the Principal Investigator of the project (Prof Yani Najman) and collaborator Prof Peter Van der Beek (Institute of Geological Sciences, University of Potsdam, Germany) to carry out the research, including data reduction, modelling, interpretation and leading the publication of the research in an international peer-reviewed journal. The work will include modelling of the data using PECUBE, ideally undertaken during a two month visit to Peter Van der Beek in Germany, who will lead the modelling element of the project. Prior experience with PECUBE or thermal modelling is therefore highly desirable. The data are already collected, thus allowing sufficient time for modelling, interpretation and write up to publication, within the year’s funding duration.
The project is funded by an NSF-NERC grant, with NERC as the funder of this position, and funds already in place at Lancaster.
The post is full-time based in Lancaster, UK, with a two month academic visit to Potsdam.
Lancaster University welcomes applications from all sections of the community and is committed to promoting diversity, and equality of opportunity.
Informal enquiries are encouraged and should be made to Yani Najman or Peter van der Beek by email: y.najman@lancaster.ac.uk, vanderbeek@uni-potsdam.de.
More information and application details can be found at: 0654-25 Research Associate - Jobs at Lancaster University (https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=0654-25)
Prof Yani Najman<br>
Professor of Tectonics and Sedimentation<br>
Lancaster Environment Centre<br>
Lancaster University<br>
Lancaster, LA1 4YQ<br>
UK<br>
Landslides pose a significant geologic hazard that can be deadly and costly. Individual slope failures regularly generate losses throughout the U.S. and abroad, but an even bigger concern is widespread landsliding caused by earthquakes and extreme weather events. The USGS has an ongoing interest in developing models to rapidly characterize landslide initiation potential under both heavy precipitation and seismic activity. For example, there are models to simulate the dynamic subsurface pore-water pressure response related to rainfall-triggered landslides (e.g., Baum et al., 2010), and other models for predicting earthquake-triggered landslides that are informed by ground motions (e.g., Nowicki Jessee et al., 2018). However, a primary input for all these models involves characterization of the strength of geologic materials, which is not readily available.
Whereas soil and root strength properties are often estimated for past landslide events using back-analyses, current methods for predicting these parameters across different regions are lacking. In particular, simple methods are needed to inform better parameterization of landslide models based on existing geodatabases and remotely sensed data. Previous work in the hydrologic sciences has successfully identified empirical relationships to establish “transfer” functions that translate readily available soils information (e.g., textural classification, organic carbon content, vegetation cover) to the hydraulic properties of interest that are more difficult to obtain (i.e., porosity, hydraulic conductivity, water retention). These transfer functions (e.g., Schaap et al., 2001) have facilitated regional and even continental scale simulations with physics-based hydrologic models. However, the transfer function approach used successfully in hydrology – relating readily available data to parameters of interest – has not been attempted for estimating geomechanical properties (i.e., angle of internal friction, cohesion, and root strength).
The primary objective of the research opportunity is to identify and develop simple or complex transfer functions for assigning geomechanical inputs into regional slope stability models. Extensive data on soil mechanical properties and root strength parameters are dispersed throughout the literature in journal articles (e.g., Schwarz et al., 2010) and various USGS reports (e.g., Mirus et al., 2016), but these have yet to be assembled into a comprehensive database for further quantitative analysis or prediction of landslide triggering. Numerous machine learning approaches have been applied in the Earth Sciences to identify empirical relations between measurements and parameters of interest and have even been used to map landslides from lidar data (Bunn et al., 2019). However, these computational methods have not been applied rigorously to explore geomechanical properties. Relationships between strength properties and existing geospatial data on soils, geology, topography, and landcover could be explored quantitatively with a variety of techniques. The proposed post-doctoral research opportunity therefore provides many avenues for innovative research to identify suitable properties and relations that can help improve the predictive power of landslide initiation models.
Interested applicants are strongly encouraged to contact the Research Advisor(s) early in the application process to discuss project ideas.
Large-scale water resources assessment has become more and more important in recent years. This is due to the emerging need (1) to understand and quantify interactions between the world’s water resources and climate/land-use changes, (2) to inform water policy in an increasingly globalized world, and (3) to create visualizations and interactive opportunities to educate local and global populations (Gleeson et al. 2021). In most large-scale modeling studies, groundwater, the world’s largest source of drinking water, is represented with strong simplifications mainly due to a lack of observations (Wagener et al., 2021).
The aim of '''3-year this postdoc position (extendable for another 3 years)''' is to contribute to the improvement of groundwater processes in large-scale models through advancing (conceptual) model development and model evaluation at regional to global scales using data beyond the typical groundwater level observations or discharge observations.
Please find more details about the position and the application procedure at https://tu-dresden.de/stellenausschreibung/9086. Submission deadline for applications is '''**January 19, 2022**'''.
Please contact me for any questions.
Best wishes,<br>
Andreas
Refs
* Gleeson, T., Wagener, T., Döll, P., Zipper, S. C., West, C., Wada, Y., Taylor, R., Scanlon, B., Rosolem, R., Rahman, S., Oshinlaja, N., Maxwell, R., Lo, M.-H., Kim, H., Hill, M., Hartmann, A., Fogg, G., Famiglietti, J. S., Ducharne, A., … Bierkens, M. F. P. (2021). GMD perspective: The quest to improve the evaluation of groundwater representation in continental- to global-scale models. Geoscientific Model Development, 14(12), 7545–7571. https://doi.org/10.5194/gmd-14-7545-2021
* Wagener, T., Gleeson, T., Coxon, G., Hartmann, A., Howden, N., Pianosi, F., Rahman, M., Rosolem, R., Stein, L., & Woods, R. (2021). On doing hydrology with dragons: Realizing the value of perceptual models and knowledge accumulation. Wiley Interdisciplinary Reviews: Water, 8(6). https://doi.org/10.1002/wat2.1550
Prof. Dr. Andreas Hartmann<br>
Institute of Groundwater Management IGW (Director)<br>
TU Dresden<br>
01062 Dresden / Germany<br>
andreas.Hartmann@tu-dresden.de<br>
https://tu-dresden.de/bu/umwelt/hydro/igw<br>
https://twitter.com/sub_heterogenty<br>
grundwasser@mailbox.tu-dresden.de <br>
Launching a 5-years erc project about chaotic transport processes in porous media, I offer 4 positions at CNRS for young scientists (PhD or PostDoc) in Rennes (France, 1h30 from Paris) on various topics concerning environmental fluid mechanics, applied to transport processes in porous media. The project involves groundbreaking experimental developments, numerical simulations and theories. Strong impacts in the domain of hydrology and water resources are expected. Full description of the offers is available on the project website: https://sites.google.com/view/erc-chorus/job-offers
We look for talented early career scientists, with (at least) an M2 degree in Earth science, Physics, Chemistry, Engineering. Positions can last up to 4 years. To apply, send a CV, motivation letter and your undergraduate grades replying to this email.
Best,
Joris Heyman<br>
Joris Heyman<br>
chargé de recherche CNRS<br>
Bat.14B, Room 203<br>
Université Rennes 1, OSUR<br>
35042 Rennes, France<br> +
Leiden University in the Netherlands is looking for an Assistant Professor (permanent position) in Earth System Science. We are interested in all sectors of Earth System Science, with some broad linkages to global challenges.
https://www.universiteitleiden.nl/en/vacancies/2022/kwartaal-3/22-64212921assistant-professor-ud-in-the-field-of-earth-system-science-and-global-challenges
Deadline to apply is 15 November. Please distribute broadly to your peers.
Please contact me with any questions.
Best,
Paul Hudson
--
Paul F. Hudson, PhD<br>
Associate Professor in Physical Geography & Sustainability<br>
Program in Earth, Energy, and Sustainability<br>
Educational Director (ad interim)<br>
LUC The Hague<br>
Leiden University<br>
The Netherlands<br>
p.f.hudson@luc.leidenuniv.nl<br> +
Li Reactive Water Group (https://lireactivewater.wixsite.com/group) at Penn State University is recruiting PhD students for Fall 2026 admission. We are looking for motivated students who are curious and interested in resolving pressing water challenges that our society faces today. Our research questions focus broadly on understanding and predicting water quantity and quality in a changing climate including climate extremes (e.g., droughts, floods, heatwaves) and human perturbation (e.g., urbanization, agriculture). We have multiple collaborative, interdisciplinary projects in field sites with contrasting climate, vegetation, geology, and human perturbations. These watersheds span from high-elevation Rocky Mountain sites (Coal Creek, Colorado; Sagehen River, Neveda), to pacific northwestern Cascades (HJ Andrews, Oregon), to northeastern (Sleepers River, Vermont), to tall grass prairie in Midwest (Konza Prairie, Kansas). We use a combination of field work and process-based reactive transport modeling to understand processes, and machine learning / deep learning tools for identifying trends and patterns from regional to global scales.
Students will work in interdisciplinary, collaborative, and diverse teams from multiple universities. We travel to field sites and help collect data with our collaborators in the summer. Students are encouraged to skim through our publications in recent years on Google Scholar.
Students with a bachelor’s or master’s degree from earth and environmental sciences (e.g., hydrology, biogeochemistry, ecology), engineering, and related fields are encouraged to apply. We’re dedicated to creating an inclusive and supportive group culture. We welcome applicants with computational, GIS, or statistics skills but these skills are not required. What matters most is an inquisitive mind, along with a thirst to learn and grow.
Interested students are encouraged to contact Prof. Li Li (with resume and transcripts) at lili@engr.psu.edu. State College, Pennsylvania, known as Happy Valley, has long been rated as one of the best places to live in the United States.
Please feel free to apply here directly to the Environmental Engineering program and mention Prof. Li as a potential advisor in your research statement. Review application materials will start in early January 2026.
Link to Application:
https://lsu.wd1.myworkdayjobs.com/LSU/job/0361-Howe-Russell-Kniffen-Geoscience-E--W/Postdoctoral-Researcher_R00055025
Job Description:
This post doc researcher will be developing landscape evolution models relevant for the evolution of the southern margin of the Tibetan Plateau or orogenic plateaus in general. Candidate should have significant experience using and interpreting the results of numerical models of landscape evolution, preferably using LandLab, but experience with other models is acceptable. Experience developing components for landscape evolution models and/or prior research experience with drainage divide migration is preferred but not essential.
Duties include:
-25% Work with principal investigator to develop landscape evolution models in LandLab to explore the controls on drainage divide migration on orogenic plateaus.
-25% Work with principal investigator to analyze topography of orogenic plateaus, specifically the southern margin of the Tibetan plateau, to look for evidence of drainage divide migration and to compare with results of landscape evolution models.
-25% Develop new modules for LandLab related to processes not already included, but important for drainage network stability in orogenic plateaus.
-25% Preparation of manuscripts for submission to the external literature and presentations at international meetings.
Minimum qualifications:
Doctoral degree in geomorphology especially simulation of landscape evolution; must have at least three years of doctoral level research; must be experienced in using landscape evolution models or programming in Python
Preferred qualifications:
Doctoral degree in geomorphology especially simulation of landscape evolution with 5 years of doctoral level research.
Job Competencies required:
Proficient in running and interpreting results of landscape evolution models; Proficient using Program in Python, or alternatively Matlab, Python preferred; Proficient in developing subroutines for landscape evolution models; proficient in analyzing digital topography with standard analysis tools
Special Instructions:
Please submit a current cv and contact information of 3 references. An official transcript showing highest degree obtained will be needed prior to hire.
Posting Date:
May 6, 2021
Closing Date (Open Until Filled if No Date Specified):
Additional Position Information:
Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.
LSU is an Equal Opportunity Employer:
LSU believes diversity, equity, and inclusion enrich the educational experience of our students, faculty, and staff, and are necessary to prepare all people to thrive personally and professionally in a global society. We celebrate diversity and are committed to the principles of diversity and inclusion. We actively seek and encourage qualified applications from persons with diverse backgrounds, cultures and experiences. To learn more about how LSU is committed to diversity and inclusivity, please see LSU’s Diversity Statement and Roadmap. Persons needing accommodations or assistance with the accessibility of materials related to this search are encouraged to contact the Office of Human Resource Management (hr@lsu.edu).
HCM Contact Information:
Questions or concerns can be directed to the LSU Human Resources Management Office at 225-578-8200 or emailed HR@lsu.edu
Faculty Supervisor Contact Information:
Adam Forte
aforte8@lsu.edu
Department of Geology & Geophysics
Louisiana State University
